Trackademia

Welcome to Trackademia

The idea behind Trackademia is to build on existing academic databases like Google Scholar and OpenAlex so that you can trust the data and use it for whatever you want. That comes down to two things.

More data, and more ways to use it. We aggregate publication data from every major source into a single dataset and add information pulled from faculty CVs. Then we let you slice it however you want: choose which sources to build from, write your own formulas, weight journals, adjust for department size.

More accurate, and honest about where it isn’t. We focus on a smaller set of schools so we can verify everything carefully. Faculty lists come from department websites rather than being inferred from publication records, so we know who should be in the data before we go looking. When we can’t find data on someone, we record the gap instead of dropping them. Every number comes with a coverage rate you can check against ground truth.

Everything in Trackademia is built from seven units. AI merges duplicate records across sources and tags each publication so these categories hold up:

  • Publication — citation counts, authors, journal, peer review status, and more
  • Publication group — versions of the same work combined into one entity, such as a working paper and the article it became
  • Academic
  • Department
  • University
  • Field
  • Journal

There are two modes. In Database mode you browse the underlying records and filter by any of the seven units. In Analytics mode you get graphs and comparisons, and you switch views to compare two departments, compare one department against the average of the others, or see them all at once. Tabs let you focus on a particular level of the data.

Trackademia

Every graph on this site

Publications

  • Ranking Ranked table
    • Value: Citations, Weighted citations, Publications
    • Measure: Total, Mean per work, Median per work
  • Works published per year Lines over years
    • Measure: Total, Mean per academic, Median per academic
    • Calendar year or years since PhD
    • In each year or cumulative
  • Citations received per year Lines over years
    • Value: Citations, Weighted citations
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic
    • In each year or cumulative
  • Citation distribution Bars
    • Value: Citations, Weighted citations
  • Citations by age of work Lines over years
    • Value: Citations, Weighted citations
    • Measure: Total, Mean per work, Median per work
  • Publication type mix Ranked bars
    • Value: Citations, Weighted citations, Publications
  • Top venues Ranked bars
    • Value: Citations, Weighted citations, Publications

Academicshere

Departments

  • Ranking Ranked table
    • Value: Citations, Weighted citations, Publications
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic, Formula
  • Publications over time Lines over years
    • Measure: Total, Mean per academic, Median per academic, Formula
    • Calendar year or years since PhD
    • In each year or cumulative
  • Citations over time Lines over years
    • Value: Citations, Weighted citations
    • Measure: Total, Mean per academic, Median per academic, Formula
    • In each year or cumulative
  • Makeup by tenure track Stacked bars
  • Output by rank Grouped bars
    • Value: Citations, Weighted citations, Publications
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic, Formula
  • Academics ranked against academics Grouped bars
    • Value: Citations, Weighted citations, Publications
    • How many ranks (opens on 5)
  • Years to promotion Grouped bars
  • Journals used Stacked bars
    • Value: Citations, Weighted citations, Publications

Journals

Fields

  • Ranking Ranked table
    • Value: Citations, Weighted citations, Publications
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic
  • Departments by field Bars
    • Measure: Total, Mean per work, Median per work, Mean per academic, Median per academic
  • University rollup Ranked bars
  • Coverage by field Ranked bars

Trackademia

Search the whole site

Search a person, a department, a journal or the title of a work. A person’s name brings up their profile, their publications, their department and the journals they publish in.

Value Measure

Academics

Citations per year in post (from the first professorial appointment, else the PhD year) · the 15 highest of 309 academics
1 Andrew M. Guess Princeton Politics · Associate · 9 years in post 363.4
2 Brendan Nyhan Dartmouth Government · Distinguished · 15 years in post 252.5
3 Luca Bellodi Yale Political Science · Assistant · 1 years in post 221.0
4 Joshua Kalla Yale Political Science · Full · 7 years in post 218.7
5 Christopher Blair Princeton Politics · Assistant · 3 years in post 208.3
6 Rocío Titiunik Princeton Politics · Full · 16 years in post 166.7
7 Sean J. Westwood Dartmouth Government · Associate · 11 years in post 121.4
8 Eric M. Patashnik Brown Political Science · Distinguished · 30 years in post 115.7
9 Shiro Kuriwaki Yale Political Science · Assistant · 4 years in post 115.0
10 Kosuke Imai Harvard Government · Full · 22 years in post 112.5
11 Joshua David Kertzer Harvard Government · Distinguished · 12 years in post 108.5
12 Peter Andreas Brown Political Science · Distinguished · 26 years in post 99.1
13 Robert A. Blair Brown Political Science · Associate · 11 years in post 93.8
14 Jamila Michener Cornell Government · Full · 13 years in post 89.4
15 Guadalupe Tuñón Princeton Politics · Assistant · 6 years in post 86.2

63,322 citations over 1,778 of 2,466 works (72% carry a count). 255 of 309 academics have at least one counted work. A work with no citation count is unknown here, never a zero.

Publications by career year

Publications in each year of a career
Measure

Pooled over the 268 of 309 academics whose CV states a PhD year, across 8 departments; career year 0 is the PhD year. A career year fewer than 5 of them have reached is a gap. A total counts only the academics who had reached that career year, so the tail is low because fewer of them are in it; the mean and the median divide by exactly those academics.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 309 274/309 0.8867313915857605% 232/309 0.7508090614886731% 266/309 0.86084142394822% 2466 1778/2466 0.7210056772100568%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Citations by career year

Citations of the works published in each career year
Value Measure

Pooled over the 268 of 309 academics whose CV states a PhD year, across 8 departments; career year 0 is the PhD year. A career year fewer than 5 of them have reached is a gap. The citations of the works published in that career year, not the citations received in it. A total counts only the academics who had reached that career year, so the tail is low because fewer of them are in it; the mean and the median divide by exactly those academics.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 309 274/309 0.8867313915857605% 232/309 0.7508090614886731% 266/309 0.86084142394822% 2466 1778/2466 0.7210056772100568%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Publications per year

Works published in each year
Each point

One line over the 309 academics the filters select, by the year each work was published; an undated work is in no year. A work two colleagues share counts once for their department.

What these filters select, per academic not what the graph divided by
Academic Academics CVScholarOpenAlex Works With a count
Alex Weisiger 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Alexandra Blackman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Andrew Moravcsik 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Andrew Thompson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Caterina Chiopris 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Claudine Gay 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Daniel Gillion 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Daniel Luban 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
David C. Johnston 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Dean Lacy 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Deva Woodly 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Eric Beerbohm 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Fredrick C. Harris 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
G. John Ikenberry 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Gary Bass 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Giulia Oskian 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Hojung Joo 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Ira I. Katznelson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jacob N. Shapiro 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 0
Jan-Werner Müller 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jason Frank 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jean Louise Cohen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jeffrey R. Lax 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jennifer A. Widner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
John DiIulio 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jordan Rudinsky 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Karuna Mantena 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Kennia Coronado 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Mahmood Mamdani 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Marie Gottschalk 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Marion E. Orr 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Michael J. Hiscox 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Michael M. Ting 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Michael Sandel 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Nazmul Sultan 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Robert Y. Shapiro 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Rory Truex duplicate-check placeholder 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Shigeo Hirano 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Shterna S. Friedman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Sonu Bedi 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 0
Stephen Daniel Ansolabehere 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Stephen Skowronek 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Steven Smith 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Temi Ogunye 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 0
Timothy Colton 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Yunhyae Kim 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Allen R. Carlson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 0/1 0.0%
Blake Miller 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 0/2 0.0%
Edward S. Steinfeld 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 0/1 0.0%
Jack L. Snyder 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 0/1 0.0%
Joshua Foa Dienstag 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 2 0/2 0.0%
Melissa Sharon Lane 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 4 0/4 0.0%
Sharyn O’Halloran 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 0/1 0.0%
Steven I. Wilkinson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 0/2 0.0%
Adam Meirowitz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Adam Michael Auerbach 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Aditi Sahasrabuddhe 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Ainsley Lesure 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Akshay Govind Dixit 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 3 2/3 0.6666666666666666%
Alan Patten 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Alan S. Gerber 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 14/17 0.8235294117647058%
Alastair Iain Johnston 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Alessandra M. Casella 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 4/5 0.8%
Alexander Hirschman Gourevitch 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 2/4 0.5%
Alexander Livingston 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 2/8 0.25%
Alexandre Debs 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Alisha C. Holland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Allison Carnegie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 13/20 0.65%
Allison P. Harris 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Amanda Weiss 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 3/3 1.0%
Amaney A. Jamal 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Amy Gutmann 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 1/4 0.25%
Ana De La O Torres 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 6 6/6 1.0%
Andreas Wiedemann 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 10/10 1.0%
Andreas Wimmer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 8/14 0.5714285714285714%
Andrew Gelman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 76 67/76 0.881578947368421%
Andrew J. McCall 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Andrew J. Nathan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 110 13/110 0.11818181818181818%
Andrew M. Guess 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 19/20 0.95%
Arthur Spirling 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Ashutosh Varshney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Atul Kohli 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 3/4 0.75%
Averell Schmidt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Begüm Adalet 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 6/7 0.8571428571428571%
Benjamin A. Valentino 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Beth Simmons 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 11/14 0.7857142857142857%
Brendan Nyhan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 38/40 0.95%
Brendan O'Leary 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 49 5/49 0.10204081632653061%
Bryan Garsten 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Bryn Rosenfeld 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 5/8 0.625%
Calvin Thrall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Carles Boix 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Carlo Prato 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 7/8 0.875%
Charles M. Cameron 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Charles T. Mcclean 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 14/17 0.8235294117647058%
Christian "Chris" Chambers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
Christina L. Davis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Christina M. Kinane 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
Christoph Mikulaschek 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
Christopher Blair 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 23 15/23 0.6521739130434783%
Christopher Robert Way 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Corey Brettschneider 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 3/5 0.6%
Daniel C. Mattingly 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 9/10 0.9%
Daniel J. Hopkins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 20/20 1.0%
Daniel M. Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 10/13 0.7692307692307693%
Daniel N.j. de Kadt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Daniel Paul Carpenter 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 17 11/17 0.6470588235294118%
Daniel Ziblatt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 11/20 0.55%
Danielle S. Allen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 8/11 0.7272727272727273%
Daryl G. Press 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
David Alexander Bateman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
David Skarbek 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Deborah J. Yashar 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Deborah Jordan Brooks 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Diana C. Mutz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 4/7 0.5714285714285714%
Diana Fu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Didac Queralt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Dillon Laaker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
Dimitrios Halikias 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 5/7 0.7142857142857143%
Donald P. Green 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 34 29/34 0.8529411764705882%
Donghyun Danny Choi 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Douglas L. Kriner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 19 14/19 0.7368421052631579%
Dustin Tingley 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 12/14 0.8571428571428571%
Edward D. Mansfield 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Egor Lazarev 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Elisabeth Jean Wood 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 6/8 0.75%
Elizabeth J. Perry 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 4/5 0.8%
Elizabeth Nathan Saunders 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 3/9 0.3333333333333333%
Elizabeth Parker-Magyar 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 2/6 0.3333333333333333%
Elizabeth R. Nugent 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 7/8 0.875%
Emily A. Sellars 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Eric M. Patashnik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 9/13 0.6923076923076923%
Eric Nelson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Erik Wibbels 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Eunji Kim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Feyaad Allie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Fiona S. Cunningham 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 4/5 0.8%
Frances E. Lee 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Gareth Nellis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Gary King 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 38 31/38 0.8157894736842105%
Gemma Dipoppa 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 6/8 0.75%
GERARD PADRÓ i MIQUEL 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Germán Gieczewski 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Gleason Judd 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Gregory Alain Huber 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 31 29/31 0.9354838709677419%
Gregory Conti 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Gregory J. Wawro 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 3/5 0.6%
Grigore Pop-Eleches 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Grzegorz Ekiert 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Guadalupe Tuñón 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Gustavo A. Flores-Macías 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Guy Grossman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 15/15 1.0%
Helen V. Milner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 11/14 0.7857142857142857%
Hye Young You 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 10/10 1.0%
Hélène Landemore 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 12/16 0.75%
Ian Shapiro 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 7/7 1.0%
Isabel María Perera 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 9/13 0.6923076923076923%
Isabela Mares 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 5 4/5 0.8%
Ismail K. White 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Jacob S. Hacker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 6/13 0.46153846153846156%
James Bernard Murphy 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 5 2/5 0.4%
James M. Snyder, Jr. 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
James Raymond Vreeland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 8/11 0.7272727272727273%
Jamie Hintson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Jamila Michener 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 31/40 0.775%
Jane Esberg 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 5/7 0.7142857142857143%
Jason Barabas 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Jason Lyall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Jeff D. Colgan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 19 8/19 0.42105263157894735%
Jeffrey A. Friedman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 10/15 0.6666666666666666%
Jeffrey Edward Green 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 3/5 0.6%
Jennifer Gandhi 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
Jennifer Hadden 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 13/16 0.8125%
Jennifer Hochschild 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 4/8 0.5%
Jennifer Jerit 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
JENNIFER M. LIND 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 5/9 0.5555555555555556%
Jeremy Ferwerda 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
John Benedict Londregan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
John D. Huber 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
John Marshall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 10/10 1.0%
John Michael Carey 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 10/12 0.8333333333333334%
John S. Lapinski 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Jonathan Mummolo 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Jonathan P. Kastellec 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 9/10 0.9%
Joshua David Kertzer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 15/16 0.9375%
Joshua Kalla 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 16/16 1.0%
Julia Gray 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Julia Lynch 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 8/12 0.6666666666666666%
Julie L. Rose 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 1/4 0.25%
Juliet Hooker 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 8 3/8 0.375%
Junyan Jiang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 6/8 0.75%
Justin H. Phillips 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Kate Baldwin 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 9/10 0.9%
Katherine Irajpanah 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Katherine Tate 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Kathleen E. Powers 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 7/8 0.875%
Katrina Forrester 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 5 3/5 0.6%
Keidrick J. Roy 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Kenneth Roberts 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 10/16 0.625%
Kevin DeLuca 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Kosuke Imai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 49 42/49 0.8571428571428571%
Kristopher W. Ramsay 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Lafleur Stephens-Dougan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
Layna Mosley 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 6/14 0.42857142857142855%
Leonard Wantchekon 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Lisa Baldez 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Loren Goldman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
Luca Bellodi 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Lucas Swaine 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Lucia Rubinelli 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 4 1/4 0.25%
Marc Meredith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
Marcel F. Roman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 11/11 1.0%
Margaret M. Weir 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Maria Victoria Murillo 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 8/13 0.6153846153846154%
Mark McGann Blyth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 10/20 0.5%
Markus Prior 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Marques Zárate 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Mashail Malik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Matias Iaryczower 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Matthew Levendusky 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 14/18 0.7777777777777778%
Melani Cammett 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Melissa Lee 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Melissa Lee Sands 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Melissa Schwartzberg 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 5/7 0.7142857142857143%
Melody Huang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 6/7 0.8571428571428571%
Melvin L. Rogers 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Mia Costa 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Michael Eric ROSEN 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 4/5 0.8%
Michael Horowitz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 22/40 0.55%
Michael Jones-Correa 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 3/4 0.75%
Michele F. Margolis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 7/7 1.0%
Michelle T. Clarke 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 5/8 0.625%
Milan Svolik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Nadia Urbinati 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 30 14/30 0.4666666666666667%
Naima Green-Riley 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Nicholas Kuipers 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 11/12 0.9166666666666666%
Nicholas L. Miller 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 6/10 0.6%
Nicholas Sambanis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Nikhar Gaikwad 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 9/9 1.0%
Noah Zucker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Noam Reich 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Nolan McCarty 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Oumar Ba 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 10/16 0.625%
P. M. Aronow 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 13/15 0.8666666666666667%
Parrish Bergquist 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 11/11 1.0%
patchen markell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Paul E. Peterson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 36 19/36 0.5277777777777778%
Paul Frymer 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 2 2/2 1.0%
Peter A. Hall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 14/14 1.0%
Peter Andreas 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Peter E. Buisseret 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 7/7 1.0%
Peter Joachim Katzenstein 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 2/9 0.2222222222222222%
Peter John Loewen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 41 35/41 0.8536585365853658%
Peter K. Enns 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 11/16 0.6875%
Pia J. Raffler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Prerna Singh 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Rachel Beatty Riedl 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 9/11 0.8181818181818182%
Rafaela Dancygier 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
Rebecca Weitz-Shapiro 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Reid B. C. Pauly 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Richard F. Bensel 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Richard Owen Snyder 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Robert A. Blair 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 21 20/21 0.9523809523809523%
Robert P. George 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Rocío Titiunik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 11/12 0.9166666666666666%
Rory Truex 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 5/9 0.5555555555555556%
ROSE McDERMOTT 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 10/20 0.5%
Roxanne L. Euben 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
Rudra Sil 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
Russell Muirhead 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 2/4 0.5%
Ryan D. Enos 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 4/9 0.4444444444444444%
Sabrina M. Karim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 14/17 0.8235294117647058%
Sarah Bush 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Sarah E. Kreps 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 44 29/44 0.6590909090909091%
Sarah F. Thompson 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Sarah Zukerman Daly 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 8/12 0.6666666666666666%
Sean J. Westwood 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 23/25 0.92%
Sharon R. Krause 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Shiro Kuriwaki 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 13/13 1.0%
Soosun You 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Soyoung Lee 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 4/4 1.0%
Stephanie Ternullo 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 12/16 0.75%
Stephen Chaudoin 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Stephen G. Brooks 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 7/9 0.7777777777777778%
Stephen Macedo 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
Steven Levitsky 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 21 13/21 0.6190476190476191%
Susan L. Moffitt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 5/5 1.0%
Suzanne Mettler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 9/13 0.6923076923076923%
Taeku Lee 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
Talbot M. Andrews 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 23/25 0.92%
Tali Mendelberg 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 16/18 0.8888888888888888%
Tanushree Goyal 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
TARIQ THACHIL 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 3/4 0.75%
Theda Skocpol 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Thomas B. Pepinsky 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 36 24/36 0.6666666666666666%
Timothy M. Frye 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Torben Iversen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Tulia G. Falleti 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Turkuler ISIKSEL 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 2/4 0.5%
Tyler Jost 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 13/13 1.0%
Virginia Page Fortna 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Wendy J. Schiller 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 3/5 0.6%
William C. Wohlforth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 4/6 0.6666666666666666%
William R. Hobbs 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 7/9 0.7777777777777778%
Xu Xu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 7/7 1.0%
Yamil Ricardo Velez 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 15/15 1.0%
Yang-Yang Zhou 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Yuhua Wang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 9/11 0.8181818181818182%
Zeyang (Arthur) Yu 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 4 4/4 1.0%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Citations per year

Citations received in each year
Each point

One line over the 309 academics the filters select. Citations received in each year, from the academics’ verified Scholar profiles, which count every citation to everything they wrote: no publication filter reaches this line, and no journal weight either, which is why it offers no Value.

What these filters select, per academic not what the graph divided by
Academic Academics CVScholarOpenAlex Works With a count
Alex Weisiger 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Alexandra Blackman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Andrew Moravcsik 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Andrew Thompson 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Caterina Chiopris 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Claudine Gay 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Daniel Gillion 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Daniel Luban 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
David C. Johnston 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Dean Lacy 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Deva Woodly 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Eric Beerbohm 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Fredrick C. Harris 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
G. John Ikenberry 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Gary Bass 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Giulia Oskian 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Hojung Joo 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Ira I. Katznelson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jacob N. Shapiro 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 0
Jan-Werner Müller 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jason Frank 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jean Louise Cohen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jeffrey R. Lax 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jennifer A. Widner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
John DiIulio 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jordan Rudinsky 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Karuna Mantena 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Kennia Coronado 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Mahmood Mamdani 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Marie Gottschalk 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Marion E. Orr 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Michael J. Hiscox 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Michael M. Ting 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Michael Sandel 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Nazmul Sultan 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Robert Y. Shapiro 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Rory Truex duplicate-check placeholder 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Shigeo Hirano 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Shterna S. Friedman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Sonu Bedi 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 0
Stephen Daniel Ansolabehere 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Stephen Skowronek 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Steven Smith 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Temi Ogunye 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 0
Timothy Colton 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Yunhyae Kim 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Allen R. Carlson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 0/1 0.0%
Blake Miller 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 0/2 0.0%
Edward S. Steinfeld 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 0/1 0.0%
Jack L. Snyder 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 0/1 0.0%
Joshua Foa Dienstag 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 2 0/2 0.0%
Melissa Sharon Lane 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 4 0/4 0.0%
Sharyn O’Halloran 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 0/1 0.0%
Steven I. Wilkinson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 0/2 0.0%
Adam Meirowitz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Adam Michael Auerbach 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Aditi Sahasrabuddhe 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Ainsley Lesure 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Akshay Govind Dixit 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 3 2/3 0.6666666666666666%
Alan Patten 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Alan S. Gerber 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 14/17 0.8235294117647058%
Alastair Iain Johnston 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Alessandra M. Casella 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 4/5 0.8%
Alexander Hirschman Gourevitch 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 2/4 0.5%
Alexander Livingston 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 2/8 0.25%
Alexandre Debs 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Alisha C. Holland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Allison Carnegie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 13/20 0.65%
Allison P. Harris 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Amanda Weiss 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 3/3 1.0%
Amaney A. Jamal 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Amy Gutmann 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 1/4 0.25%
Ana De La O Torres 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 6 6/6 1.0%
Andreas Wiedemann 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 10/10 1.0%
Andreas Wimmer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 8/14 0.5714285714285714%
Andrew Gelman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 76 67/76 0.881578947368421%
Andrew J. McCall 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Andrew J. Nathan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 110 13/110 0.11818181818181818%
Andrew M. Guess 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 19/20 0.95%
Arthur Spirling 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Ashutosh Varshney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Atul Kohli 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 3/4 0.75%
Averell Schmidt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Begüm Adalet 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 6/7 0.8571428571428571%
Benjamin A. Valentino 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Beth Simmons 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 11/14 0.7857142857142857%
Brendan Nyhan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 38/40 0.95%
Brendan O'Leary 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 49 5/49 0.10204081632653061%
Bryan Garsten 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Bryn Rosenfeld 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 5/8 0.625%
Calvin Thrall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Carles Boix 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Carlo Prato 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 7/8 0.875%
Charles M. Cameron 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Charles T. Mcclean 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 14/17 0.8235294117647058%
Christian "Chris" Chambers 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
Christina L. Davis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Christina M. Kinane 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
Christoph Mikulaschek 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
Christopher Blair 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 23 15/23 0.6521739130434783%
Christopher Robert Way 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Corey Brettschneider 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 3/5 0.6%
Daniel C. Mattingly 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 9/10 0.9%
Daniel J. Hopkins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 20/20 1.0%
Daniel M. Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 10/13 0.7692307692307693%
Daniel N.j. de Kadt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Daniel Paul Carpenter 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 17 11/17 0.6470588235294118%
Daniel Ziblatt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 11/20 0.55%
Danielle S. Allen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 8/11 0.7272727272727273%
Daryl G. Press 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
David Alexander Bateman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
David Skarbek 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Deborah J. Yashar 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Deborah Jordan Brooks 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Diana C. Mutz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 4/7 0.5714285714285714%
Diana Fu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Didac Queralt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Dillon Laaker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
Dimitrios Halikias 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 5/7 0.7142857142857143%
Donald P. Green 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 34 29/34 0.8529411764705882%
Donghyun Danny Choi 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Douglas L. Kriner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 19 14/19 0.7368421052631579%
Dustin Tingley 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 12/14 0.8571428571428571%
Edward D. Mansfield 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Egor Lazarev 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Elisabeth Jean Wood 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 6/8 0.75%
Elizabeth J. Perry 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 4/5 0.8%
Elizabeth Nathan Saunders 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 3/9 0.3333333333333333%
Elizabeth Parker-Magyar 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 2/6 0.3333333333333333%
Elizabeth R. Nugent 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 7/8 0.875%
Emily A. Sellars 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Eric M. Patashnik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 9/13 0.6923076923076923%
Eric Nelson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Erik Wibbels 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Eunji Kim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Feyaad Allie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Fiona S. Cunningham 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 4/5 0.8%
Frances E. Lee 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Gareth Nellis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Gary King 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 38 31/38 0.8157894736842105%
Gemma Dipoppa 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 6/8 0.75%
GERARD PADRÓ i MIQUEL 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Germán Gieczewski 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Gleason Judd 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Gregory Alain Huber 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 31 29/31 0.9354838709677419%
Gregory Conti 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Gregory J. Wawro 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 3/5 0.6%
Grigore Pop-Eleches 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Grzegorz Ekiert 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Guadalupe Tuñón 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Gustavo A. Flores-Macías 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Guy Grossman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 15/15 1.0%
Helen V. Milner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 11/14 0.7857142857142857%
Hye Young You 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 10/10 1.0%
Hélène Landemore 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 12/16 0.75%
Ian Shapiro 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 7/7 1.0%
Isabel María Perera 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 9/13 0.6923076923076923%
Isabela Mares 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 5 4/5 0.8%
Ismail K. White 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Jacob S. Hacker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 6/13 0.46153846153846156%
James Bernard Murphy 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 5 2/5 0.4%
James M. Snyder, Jr. 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
James Raymond Vreeland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 8/11 0.7272727272727273%
Jamie Hintson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Jamila Michener 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 31/40 0.775%
Jane Esberg 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 5/7 0.7142857142857143%
Jason Barabas 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Jason Lyall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Jeff D. Colgan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 19 8/19 0.42105263157894735%
Jeffrey A. Friedman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 10/15 0.6666666666666666%
Jeffrey Edward Green 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 3/5 0.6%
Jennifer Gandhi 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
Jennifer Hadden 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 13/16 0.8125%
Jennifer Hochschild 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 4/8 0.5%
Jennifer Jerit 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
JENNIFER M. LIND 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 5/9 0.5555555555555556%
Jeremy Ferwerda 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
John Benedict Londregan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
John D. Huber 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
John Marshall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 10/10 1.0%
John Michael Carey 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 10/12 0.8333333333333334%
John S. Lapinski 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Jonathan Mummolo 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Jonathan P. Kastellec 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 9/10 0.9%
Joshua David Kertzer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 15/16 0.9375%
Joshua Kalla 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 16/16 1.0%
Julia Gray 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Julia Lynch 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 8/12 0.6666666666666666%
Julie L. Rose 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 1/4 0.25%
Juliet Hooker 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 8 3/8 0.375%
Junyan Jiang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 6/8 0.75%
Justin H. Phillips 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Kate Baldwin 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 9/10 0.9%
Katherine Irajpanah 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Katherine Tate 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Kathleen E. Powers 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 7/8 0.875%
Katrina Forrester 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 5 3/5 0.6%
Keidrick J. Roy 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Kenneth Roberts 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 10/16 0.625%
Kevin DeLuca 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Kosuke Imai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 49 42/49 0.8571428571428571%
Kristopher W. Ramsay 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Lafleur Stephens-Dougan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
Layna Mosley 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 6/14 0.42857142857142855%
Leonard Wantchekon 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Lisa Baldez 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Loren Goldman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
Luca Bellodi 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Lucas Swaine 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Lucia Rubinelli 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 4 1/4 0.25%
Marc Meredith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
Marcel F. Roman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 11/11 1.0%
Margaret M. Weir 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Maria Victoria Murillo 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 8/13 0.6153846153846154%
Mark McGann Blyth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 10/20 0.5%
Markus Prior 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Marques Zárate 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Mashail Malik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Matias Iaryczower 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Matthew Levendusky 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 14/18 0.7777777777777778%
Melani Cammett 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Melissa Lee 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Melissa Lee Sands 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Melissa Schwartzberg 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 5/7 0.7142857142857143%
Melody Huang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 6/7 0.8571428571428571%
Melvin L. Rogers 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Mia Costa 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Michael Eric ROSEN 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 4/5 0.8%
Michael Horowitz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 22/40 0.55%
Michael Jones-Correa 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 3/4 0.75%
Michele F. Margolis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 7/7 1.0%
Michelle T. Clarke 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 5/8 0.625%
Milan Svolik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Nadia Urbinati 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 30 14/30 0.4666666666666667%
Naima Green-Riley 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Nicholas Kuipers 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 11/12 0.9166666666666666%
Nicholas L. Miller 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 6/10 0.6%
Nicholas Sambanis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Nikhar Gaikwad 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 9/9 1.0%
Noah Zucker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Noam Reich 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
Nolan McCarty 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Oumar Ba 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 10/16 0.625%
P. M. Aronow 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 13/15 0.8666666666666667%
Parrish Bergquist 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 11/11 1.0%
patchen markell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Paul E. Peterson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 36 19/36 0.5277777777777778%
Paul Frymer 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 2 2/2 1.0%
Peter A. Hall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 14/14 1.0%
Peter Andreas 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Peter E. Buisseret 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 7/7 1.0%
Peter Joachim Katzenstein 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 2/9 0.2222222222222222%
Peter John Loewen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 41 35/41 0.8536585365853658%
Peter K. Enns 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 11/16 0.6875%
Pia J. Raffler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Prerna Singh 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Rachel Beatty Riedl 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 9/11 0.8181818181818182%
Rafaela Dancygier 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
Rebecca Weitz-Shapiro 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Reid B. C. Pauly 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Richard F. Bensel 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 2/5 0.4%
Richard Owen Snyder 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Robert A. Blair 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 21 20/21 0.9523809523809523%
Robert P. George 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Rocío Titiunik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 11/12 0.9166666666666666%
Rory Truex 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 5/9 0.5555555555555556%
ROSE McDERMOTT 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 10/20 0.5%
Roxanne L. Euben 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
Rudra Sil 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
Russell Muirhead 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 2/4 0.5%
Ryan D. Enos 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 4/9 0.4444444444444444%
Sabrina M. Karim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 14/17 0.8235294117647058%
Sarah Bush 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Sarah E. Kreps 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 44 29/44 0.6590909090909091%
Sarah F. Thompson 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 1 1/1 1.0%
Sarah Zukerman Daly 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 8/12 0.6666666666666666%
Sean J. Westwood 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 23/25 0.92%
Sharon R. Krause 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Shiro Kuriwaki 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 13/13 1.0%
Soosun You 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Soyoung Lee 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 4/4 1.0%
Stephanie Ternullo 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 12/16 0.75%
Stephen Chaudoin 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Stephen G. Brooks 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 7/9 0.7777777777777778%
Stephen Macedo 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
Steven Levitsky 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 21 13/21 0.6190476190476191%
Susan L. Moffitt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 5/5 1.0%
Suzanne Mettler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 9/13 0.6923076923076923%
Taeku Lee 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
Talbot M. Andrews 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 23/25 0.92%
Tali Mendelberg 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 16/18 0.8888888888888888%
Tanushree Goyal 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
TARIQ THACHIL 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 3/4 0.75%
Theda Skocpol 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
Thomas B. Pepinsky 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 36 24/36 0.6666666666666666%
Timothy M. Frye 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 7/10 0.7%
Torben Iversen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Tulia G. Falleti 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Turkuler ISIKSEL 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 2/4 0.5%
Tyler Jost 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 13/13 1.0%
Virginia Page Fortna 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Wendy J. Schiller 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 3/5 0.6%
William C. Wohlforth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 4/6 0.6666666666666666%
William R. Hobbs 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 7/9 0.7777777777777778%
Xu Xu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 7 7/7 1.0%
Yamil Ricardo Velez 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 15/15 1.0%
Yang-Yang Zhou 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Yuhua Wang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 9/11 0.8181818181818182%
Zeyang (Arthur) Yu 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 4 4/4 1.0%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

h-index

Academics at each h-index
Series: Academics.0204060801001–4 Academics 22225–9 Academics 373710–19 Academics 939320–39 Academics 848440+ Academics 47471–45–910–1920–3940+Academicsh-index

The verified Scholar profile’s h-index where there is one, else computed from the OpenAlex citations of the academic’s CV works (definitions section 6): Scholar for 232 academics, OpenAlex citations of CV works for 51, 26 with no h-index. Never OpenAlex’s author-level figure, and no filter here moves it.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 309 274/309 0.8867313915857605% 232/309 0.7508090614886731% 266/309 0.86084142394822% 2466 1778/2466 0.7210056772100568%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Makeup by rank

Academics at each current rank
Series: value.DistinguishedDistinguished 100100FullFull 5757AssociateAssociate 5151AssistantAssistant 6161ResearchResearch 11PostdocPostdoc 22UnknownUnknown 3737020406080100RankAcademics

The current rank of every academic the filters keep (definitions section 7). A rank is current as of the CV, so no year window or publication type moves it.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 309 274/309 0.8867313915857605% 232/309 0.7508090614886731% 266/309 0.86084142394822% 2466 1778/2466 0.7210056772100568%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.

Top collaborators

Works two of the selected academics both hold
Series: value.Andrew M. Guess · Brendan NyhanAndrew M. Guess · Brendan Nyhan 1111Alan S. Gerber · Gregory Alain HuberAlan S. Gerber · Gregory Alain Huber 1010Douglas L. Kriner · Sarah E. KrepsDouglas L. Kriner · Sarah E. Kreps 1010Brendan Nyhan · John Michael CareyBrendan Nyhan · John Michael Carey 66Daniel Ziblatt · Steven LevitskyDaniel Ziblatt · Steven Levitsky 66Brendan Nyhan · Peter John LoewenBrendan Nyhan · Peter John Loewen 55Daryl G. Press · JENNIFER M. LINDDaryl G. Press · JENNIFER M. LIND 44Kosuke Imai · Shiro KuriwakiKosuke Imai · Shiro Kuriwaki 44Adam Michael Auerbach · TARIQ THACHILAdam Michael Auerbach · TARIQ THACHIL 33Alan S. Gerber · Eric M. PatashnikAlan S. Gerber · Eric M. Patashnik 33Christopher Blair · Michael HorowitzChristopher Blair · Michael Horowitz 33Donghyun Danny Choi · Nicholas SambanisDonghyun Danny Choi · Nicholas Sambanis 33Jennifer Hadden · Sarah BushJennifer Hadden · Sarah Bush 33Markus Prior · Talbot M. AndrewsMarkus Prior · Talbot M. Andrews 33Andrew M. Guess · John Michael CareyAndrew M. Guess · John Michael Carey 220246810PairShared works

The pairs of the 309 selected academics who share the most of these works. 147 of the 2,466 selected works are held by two of them, making 107 pairs - a work three of them share is three pairs, so the two figures are different quantities and neither is a sum of the other. Only collaborations inside this selection are here: a work written with somebody outside it is counted everywhere else on this page and cannot be paired.

What these filters select, over everything selected not what the graph divided by
Selected Academics CVScholarOpenAlex Works With a count
Everything selected 309 274/309 0.8867313915857605% 232/309 0.7508090614886731% 266/309 0.86084142394822% 2466 1778/2466 0.7210056772100568%
  • Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
  • A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
  • What there was to draw from, not what the graph divided by - the graph states its own denominator above.
  • A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.
First Second

James Bernard Murphy alone is not a pair: pick a second academic to count against.