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

Academics

Departmentshere

  • 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.
Trackademia
Value Measure

Departments

Mean citations per academic
1 Dartmouth Government 7 academics 681
2 Cornell Government 6 academics 367
3 Penn Political Science 15 academics 276
4 Columbia Political Science 12 academics 274
5 Harvard Government 24 academics 216
6 Princeton Politics 13 academics 174
7 Yale Political Science 11 academics 137
8 Brown Political Science 12 academics 64

22,508 citations over 693 of 1,083 works (64% carry a count). 83 of 100 academics have at least one counted work. A work with no citation count is unknown here, never a zero.

Publications over time

Works published in each year
Measure X axis Each point

Dartmouth GovernmentHarvard GovernmentYale Political SciencePrinceton PoliticsColumbia Political ScienceCornell GovernmentPenn Political ScienceBrown Political Science

Every selected work, by the year it was published. An undated work is in no year.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Harvard Government 24 24/24 1.0% 16/24 0.6666666666666666% 23/24 0.9583333333333334% 213 154/213 0.7230046948356808%
Penn Political Science 15 15/15 1.0% 14/15 0.9333333333333333% 15/15 1.0% 182 108/182 0.5934065934065934%
Princeton Politics 13 13/13 1.0% 9/13 0.6923076923076923% 12/13 0.9230769230769231% 85 66/85 0.7764705882352941%
Brown Political Science 12 12/12 1.0% 7/12 0.5833333333333334% 12/12 1.0% 86 48/86 0.5581395348837209%
Columbia Political Science 12 12/12 1.0% 8/12 0.6666666666666666% 12/12 1.0% 265 128/265 0.4830188679245283%
Yale Political Science 11 11/11 1.0% 10/11 0.9090909090909091% 11/11 1.0% 89 72/89 0.8089887640449438%
Dartmouth Government 7 7/7 1.0% 6/7 0.8571428571428571% 7/7 1.0% 61 54/61 0.8852459016393442%
Cornell Government 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 102 63/102 0.6176470588235294%
  • 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 over time

Citations received in each year
Value Measure Each point

Dartmouth GovernmentHarvard GovernmentYale Political SciencePrinceton PoliticsColumbia Political ScienceCornell GovernmentPenn Political ScienceBrown Political Science

Citations received in each year, from the academics’ verified Scholar profiles.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Harvard Government 24 24/24 1.0% 16/24 0.6666666666666666% 23/24 0.9583333333333334% 213 154/213 0.7230046948356808%
Penn Political Science 15 15/15 1.0% 14/15 0.9333333333333333% 15/15 1.0% 182 108/182 0.5934065934065934%
Princeton Politics 13 13/13 1.0% 9/13 0.6923076923076923% 12/13 0.9230769230769231% 85 66/85 0.7764705882352941%
Brown Political Science 12 12/12 1.0% 7/12 0.5833333333333334% 12/12 1.0% 86 48/86 0.5581395348837209%
Columbia Political Science 12 12/12 1.0% 8/12 0.6666666666666666% 12/12 1.0% 265 128/265 0.4830188679245283%
Yale Political Science 11 11/11 1.0% 10/11 0.9090909090909091% 11/11 1.0% 89 72/89 0.8089887640449438%
Dartmouth Government 7 7/7 1.0% 6/7 0.8571428571428571% 7/7 1.0% 61 54/61 0.8852459016393442%
Cornell Government 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 102 63/102 0.6176470588235294%
  • 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 tenure track

Academics on and off the tenure track
Series: Tenure track.0510152025Dartmouth Tenure track 77Harvard Tenure track 2424Yale Tenure track 1111Princeton Tenure track 1313Columbia Tenure track 1212Cornell Tenure track 66Penn Tenure track 1515Brown Tenure track 1212DartmouthHarvardYalePrincetonColumbiaCornellPennBrownAcademicsDepartment

Every academic the filters keep, by whether their current rank is on the tenure track (docs/definitions.md section 7). A rank in neither group - emeritus, postdoc, or a rank no CV states - is its own segment rather than filed under one of them: an emeritus professor was on the tenure track, and an unknown rank is not a claim about tenure at all.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Harvard Government 24 24/24 1.0% 16/24 0.6666666666666666% 23/24 0.9583333333333334% 213 154/213 0.7230046948356808%
Penn Political Science 15 15/15 1.0% 14/15 0.9333333333333333% 15/15 1.0% 182 108/182 0.5934065934065934%
Princeton Politics 13 13/13 1.0% 9/13 0.6923076923076923% 12/13 0.9230769230769231% 85 66/85 0.7764705882352941%
Brown Political Science 12 12/12 1.0% 7/12 0.5833333333333334% 12/12 1.0% 86 48/86 0.5581395348837209%
Columbia Political Science 12 12/12 1.0% 8/12 0.6666666666666666% 12/12 1.0% 265 128/265 0.4830188679245283%
Yale Political Science 11 11/11 1.0% 10/11 0.9090909090909091% 11/11 1.0% 89 72/89 0.8089887640449438%
Dartmouth Government 7 7/7 1.0% 6/7 0.8571428571428571% 7/7 1.0% 61 54/61 0.8852459016393442%
Cornell Government 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 102 63/102 0.6176470588235294%
  • 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.

Output by rank

Median citations per academic at each rank
Value Measure
Series: Dartmouth Government, Harvard Government, Yale Political Science, Princeton Politics, Columbia Political Science, Cornell Government, Penn Political Science, Brown Political Science.0.0100.0200.0300.0400.0500.0Distinguished Dartmouth Government over 7 academics 134.0134.0Distinguished Harvard Government over 24 academics 76.576.5Distinguished Yale Political Science over 11 academics 111.0111.0Distinguished Princeton Politics over 13 academics 71.071.0Distinguished Columbia Political Science over 12 academics 68.068.0Distinguished Cornell Government over 6 academics 411.0411.0Distinguished Penn Political Science over 15 academics 89.089.0Distinguished Brown Political Science over 12 academics 34.534.5DistinguishedMedian citations per academicRank

Dartmouth GovernmentHarvard GovernmentYale Political SciencePrinceton PoliticsColumbia Political ScienceCornell GovernmentPenn Political ScienceBrown Political Science

Each rank read on its own, so a department of thirty and one of sixty are comparable at the same career stage.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Harvard Government 24 24/24 1.0% 16/24 0.6666666666666666% 23/24 0.9583333333333334% 213 154/213 0.7230046948356808%
Penn Political Science 15 15/15 1.0% 14/15 0.9333333333333333% 15/15 1.0% 182 108/182 0.5934065934065934%
Princeton Politics 13 13/13 1.0% 9/13 0.6923076923076923% 12/13 0.9230769230769231% 85 66/85 0.7764705882352941%
Brown Political Science 12 12/12 1.0% 7/12 0.5833333333333334% 12/12 1.0% 86 48/86 0.5581395348837209%
Columbia Political Science 12 12/12 1.0% 8/12 0.6666666666666666% 12/12 1.0% 265 128/265 0.4830188679245283%
Yale Political Science 11 11/11 1.0% 10/11 0.9090909090909091% 11/11 1.0% 89 72/89 0.8089887640449438%
Dartmouth Government 7 7/7 1.0% 6/7 0.8571428571428571% 7/7 1.0% 61 54/61 0.8852459016393442%
Cornell Government 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 102 63/102 0.6176470588235294%
  • 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.

Academics ranked against academics

Each department's rank-n academic, citations
Value Ranks
Series: Dartmouth Government, Harvard Government, Yale Political Science, Princeton Politics, Columbia Political Science, Cornell Government, Penn Political Science, Brown Political Science.010002000300040001 Dartmouth Government Brendan Nyhan 37871 Harvard Government Joshua David Kertzer 12381 Yale Political Science Gregory Alain Huber 4581 Princeton Politics Arthur Spirling 10151 Columbia Political Science Andrew Gelman 21881 Cornell Government Sarah E. Kreps 8891 Penn Political Science Guy Grossman 9631 Brown Political Science ROSE McDERMOTT 2122 Dartmouth Government John Michael Carey 5252 Harvard Government Dustin Tingley 9372 Yale Political Science Nicholas Sambanis 2392 Princeton Politics Tali Mendelberg 4712 Columbia Political Science Donald P. Green 6702 Cornell Government Douglas L. Kriner 4852 Penn Political Science Michael Horowitz 8922 Brown Political Science Jeff D. Colgan 2023 Dartmouth Government William C. Wohlforth 1883 Harvard Government Gary King 4823 Yale Political Science GERARD PADRÓ i MIQUEL 2003 Princeton Politics Rafaela Dancygier 2523 Columbia Political Science Andreas Wimmer 1213 Cornell Government Thomas B. Pepinsky 4703 Penn Political Science Matthew Levendusky 8023 Brown Political Science Mark McGann Blyth 1284 Dartmouth Government Jason Lyall 1344 Harvard Government Paul E. Peterson 4584 Yale Political Science Milan Svolik 1724 Princeton Politics Amaney A. Jamal 1774 Columbia Political Science Timothy M. Frye 894 Cornell Government Suzanne Mettler 3524 Penn Political Science Daniel J. Hopkins 6934 Brown Political Science Ashutosh Varshney 765 Dartmouth Government Jennifer Jerit 1115 Harvard Government Danielle S. Allen 3785 Yale Political Science Alan S. Gerber 1145 Princeton Politics Helen V. Milner 1225 Columbia Political Science Virginia Page Fortna 885 Cornell Government Peter Joachim Katzenstein 85 Penn Political Science Beth Simmons 2265 Brown Political Science David Skarbek 6812345CitationsRank

Dartmouth GovernmentHarvard GovernmentYale Political SciencePrinceton PoliticsColumbia Political ScienceCornell GovernmentPenn Political ScienceBrown Political Science

Rank 5 of 24 at the deepest; 8 of 8 departments still have somebody at the last rank drawn. Rank n of one department is not otherwise related to rank n of another - what this compares is the shape of the lists.

What these filters select, per academic not what the graph divided by
Academic Academics CVScholarOpenAlex Works With a count
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 —
G. John Ikenberry 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Ira I. Katznelson 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 —
Michael J. Hiscox 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Robert Y. Shapiro 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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 —
Amy Gutmann 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 0/1 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%
Melissa Sharon Lane 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 3 0/3 0.0%
Peter Andreas 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 0/1 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%
Alan S. Gerber 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 13/16 0.8125%
Amaney A. Jamal 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 8/9 0.8888888888888888%
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% 72 63/72 0.875%
Andrew J. Nathan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 108 11/108 0.10185185185185185%
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% 3 2/3 0.6666666666666666%
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% 48 4/48 0.08333333333333333%
Carles Boix 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Christina L. Davis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Daniel J. Hopkins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 19 19/19 1.0%
Daniel Paul Carpenter 1 1/1 1.0% 1/1 1.0% 0/1 0.0% 16 11/16 0.6875%
Daniel Ziblatt 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 9/18 0.5%
Danielle S. Allen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 7/9 0.7777777777777778%
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%
Diana C. Mutz 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 4/6 0.6666666666666666%
Donald P. Green 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 32 27/32 0.84375%
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% 13 11/13 0.8461538461538461%
Edward D. Mansfield 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 7/7 1.0%
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% 3 2/3 0.6666666666666666%
Eric M. Patashnik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 7/9 0.7777777777777778%
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% 10 10/10 1.0%
Gary King 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 27 22/27 0.8148148148148148%
GERARD PADRÓ i MIQUEL 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 8/9 0.8888888888888888%
Gregory Alain Huber 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 30 28/30 0.9333333333333333%
Grzegorz Ekiert 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 2/2 1.0%
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% 13 10/13 0.7692307692307693%
Ian Shapiro 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Jacob S. Hacker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 5/12 0.4166666666666667%
James M. Snyder, Jr. 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 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%
Jennifer Hochschild 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 3/7 0.42857142857142855%
Jennifer Jerit 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
John Michael Carey 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 10/12 0.8333333333333334%
Joshua David Kertzer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 14/15 0.9333333333333333%
Margaret M. Weir 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 1/3 0.3333333333333333%
Mark McGann Blyth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 8/18 0.4444444444444444%
Matthew Levendusky 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 11/15 0.7333333333333333%
Melani Cammett 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Melissa Schwartzberg 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 3/5 0.6%
Michael Eric ROSEN 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
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%
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% 25 10/25 0.4%
Nicholas Sambanis 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 11/12 0.9166666666666666%
Nolan McCarty 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 2/4 0.5%
Paul E. Peterson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 33 17/33 0.5151515151515151%
Peter A. Hall 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Peter Joachim Katzenstein 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 2/6 0.3333333333333333%
Rafaela Dancygier 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 7/9 0.7777777777777778%
Richard F. Bensel 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 1/4 0.25%
ROSE McDERMOTT 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 19 10/19 0.5263157894736842%
Roxanne L. Euben 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 1 1/1 1.0%
Russell Muirhead 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Sarah E. Kreps 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 27/40 0.675%
Sharon R. Krause 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Stephen Macedo 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Steven Levitsky 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 10/18 0.5555555555555556%
Susan L. Moffitt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 4/4 1.0%
Suzanne Mettler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 8/12 0.6666666666666666%
Taeku Lee 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 6/8 0.75%
Tali Mendelberg 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 16/18 0.8888888888888888%
TARIQ THACHIL 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
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% 32 22/32 0.6875%
Timothy M. Frye 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
Torben Iversen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 5/5 1.0%
Tulia G. Falleti 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 1/2 0.5%
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% 3 2/3 0.6666666666666666%
William C. Wohlforth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 2/4 0.5%
Yuhua Wang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 7/9 0.7777777777777778%
  • 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.

Years to promotion

From the PhD to each rank
Series: Harvard Government, Brown Political Science.0.05.010.015.0Full or distinguished Harvard Government median of 1 academics 11.011.0Full or distinguished Brown Political Science median of 3 academics 13.013.0Full or distinguishedYears since the PhDRank reached

Harvard GovernmentBrown Political Science

The median years from the PhD year a CV states to the first year it states that rank. An academic whose CV dates neither is in neither figure.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Harvard Government 24 24/24 1.0% 16/24 0.6666666666666666% 23/24 0.9583333333333334% 213 154/213 0.7230046948356808%
Penn Political Science 15 15/15 1.0% 14/15 0.9333333333333333% 15/15 1.0% 182 108/182 0.5934065934065934%
Princeton Politics 13 13/13 1.0% 9/13 0.6923076923076923% 12/13 0.9230769230769231% 85 66/85 0.7764705882352941%
Brown Political Science 12 12/12 1.0% 7/12 0.5833333333333334% 12/12 1.0% 86 48/86 0.5581395348837209%
Columbia Political Science 12 12/12 1.0% 8/12 0.6666666666666666% 12/12 1.0% 265 128/265 0.4830188679245283%
Yale Political Science 11 11/11 1.0% 10/11 0.9090909090909091% 11/11 1.0% 89 72/89 0.8089887640449438%
Dartmouth Government 7 7/7 1.0% 6/7 0.8571428571428571% 7/7 1.0% 61 54/61 0.8852459016393442%
Cornell Government 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 102 63/102 0.6176470588235294%
  • 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.

Journals used

Where these departments place work, by works
Value
Series: value.Foreign AffairsForeign Affairs 123123The Irish TimesThe Irish Times 4242The Journal of PoliticsThe Journal of Politics 3535American Journal of Political ScienceAmerican Journal of Political Science 2828Perspectives on PoliticsPerspectives on Politics 2727American Political Science ReviewAmerican Political Science Review 2323Journal of democracyJournal of democracy 1818Education nextEducation next 1717International OrganizationInternational Organization 1616British Journal of Political ScienceBritish Journal of Political Science 1515Proceedings of the National Academy of SciencesProceedings of the National Academy of Sciences 1313Comparative Political StudiesComparative Political Studies 1313ScienceScience 1010Annual Review of Political ScienceAnnual Review of Political Science 1010International Studies QuarterlyInternational Studies Quarterly 10100255075100JournalWorks

The twelve venues highest on this reading, of 305.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Harvard Government 24 24/24 1.0% 16/24 0.6666666666666666% 23/24 0.9583333333333334% 213 154/213 0.7230046948356808%
Penn Political Science 15 15/15 1.0% 14/15 0.9333333333333333% 15/15 1.0% 182 108/182 0.5934065934065934%
Princeton Politics 13 13/13 1.0% 9/13 0.6923076923076923% 12/13 0.9230769230769231% 85 66/85 0.7764705882352941%
Brown Political Science 12 12/12 1.0% 7/12 0.5833333333333334% 12/12 1.0% 86 48/86 0.5581395348837209%
Columbia Political Science 12 12/12 1.0% 8/12 0.6666666666666666% 12/12 1.0% 265 128/265 0.4830188679245283%
Yale Political Science 11 11/11 1.0% 10/11 0.9090909090909091% 11/11 1.0% 89 72/89 0.8089887640449438%
Dartmouth Government 7 7/7 1.0% 6/7 0.8571428571428571% 7/7 1.0% 61 54/61 0.8852459016393442%
Cornell Government 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 102 63/102 0.6176470588235294%
  • 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.