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 198 academics
1 Shouheng Sun Brown Chemistry · Distinguished · 21 years in post 4,379.3
2 Diptarka Hait Columbia Chemistry · Assistant · 1 years in post 4,321.0
3 David R. Liu Harvard Chemistry · Distinguished · 27 years in post 3,778.7
4 Xiaowei Zhuang Harvard Chemistry · Distinguished · 25 years in post 3,159.7
5 Robert A. DiStasio Jr. Cornell Chemistry · Assistant · 11 years in post 3,149.0
6 William Jorgensen Yale Chemistry · Distinguished · 51 years in post 3,128.3
7 Jarad Mason Harvard Chemistry · Associate · 8 years in post 2,361.8
8 Lilia Xie Princeton Chemistry · Assistant · 1 years in post 1,806.0
9 Jaehyeok Jin Yale Chemistry · Postdoc · 1 years in post 1,696.0
10 Jon Ellman Yale Chemistry · Distinguished · 34 years in post 1,590.7
11 Xiaoyang Zhu Columbia Chemistry · Distinguished · 33 years in post 1,521.4
12 Salvatore Torquato Princeton Chemistry · Distinguished · 45 years in post 1,370.2
13 Joseph Subotnik Princeton Chemistry · Full · 16 years in post 1,366.8
14 Tom Muir Princeton Chemistry · Distinguished · 30 years in post 1,349.1
15 Ou Chen Brown Chemistry · Full · 11 years in post 1,348.1

2,187,722 citations over 13,007 of 15,497 works (84% carry a count). 140 of 198 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 88 of 198 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 198 89/198 0.4494949494949495% 112/198 0.5656565656565656% 89/198 0.4494949494949495% 15497 13007/15497 0.8393237400787249%
  • 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 88 of 198 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 198 89/198 0.4494949494949495% 112/198 0.5656565656565656% 89/198 0.4494949494949495% 15497 13007/15497 0.8393237400787249%
  • 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 198 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
Amymarie Bartholomew 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Andrew Musser 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Andrew Myers 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Brett P. Fors 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Brian Crane 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Christopher B. Murray 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Dalibor Sames 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Dan Kahne 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Daniel G. Nocera 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Daniel J. Mindiola 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
David B. Collum 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
David B. Zax 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
David R. Reichman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Ekaterina V. Pletneva 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Eric Jacobsen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Erik J. Sorensen 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Erin E. Stache 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Geoffrey W. Coates 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Gerard Parkin 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Gregory Scholes 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
H. Floyd Davis 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Haw Yang 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Herschel Rabitz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Héctor D. Abruña 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
J. Patrick Loria 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jack R. Norton 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
James J. Valentini 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
James L. Leighton 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jannette Carey 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jeffery G. Saven 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
John T. Groves 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jose Roque 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Karen I. Goldberg 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Kurt Zilm 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Mahima Sneha 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Marisa C. Kozlowski 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Matthew Shair 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Melissa A. Hines 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Michelle Chang 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Milan E. Delor 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Mircea Dincă 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Mohammad R. Seyedsayamdost 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Patrick Vaccaro 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Peter T. Wolczanski 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Richard A. Cerione 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Richard A. Friesner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Robert J. Cava 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Scott Miller 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Stephen Lee 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Thomas E. Mallouk 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Todd K. Hyster 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Victor Batista 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Virgil Percec 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Wei Min 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Youn Jue (Eunice) Bae 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Yuting Zhou 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Martin F. Semmelhack 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 0/2 0.0%
Nozomi Ando 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 0/1 0.0%
Abraham Nitzan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 406 394/406 0.9704433497536946%
Adam Cohen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 124 119/124 0.9596774193548387%
Alice Kunin 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 18 14/18 0.7777777777777778%
Amit Basu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 34 32/34 0.9411764705882353%
Andrew B. Bocarsly 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Andrew M. Rappe 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 98 98/98 1.0%
Andrew Zahrt 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 19 18/19 0.9473684210526315%
Angelo Cacciuto 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 83 74/83 0.891566265060241%
Ann E. McDermott 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 98 98/98 1.0%
Barbara A. Baird 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 194 193/194 0.9948453608247423%
Benjamin McDonald 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 14/16 0.875%
Brenda Rubenstein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 118 71/118 0.6016949152542372%
Brian Liau 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 52 41/52 0.7884615384615384%
Bruce Ganem 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 99 99/99 1.0%
Caitlin Davis 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 64 35/64 0.546875%
Christina Woo 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 80 75/80 0.9375%
Christoph Rose-Petruck 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 81 54/81 0.6666666666666666%
Christopher J. Chang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
Colin P. Nuckolls 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
Dale F. Mierke 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
David M. Chenoweth 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 90 90/90 1.0%
David MacMillan 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
David R. Liu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 324 99/324 0.3055555555555556%
David S. Glueck 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 94 94/94 1.0%
David Spiegel 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 10/12 0.8333333333333334%
David W. Christianson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 99 99/99 1.0%
Dean E. Wilcox 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 115 76/115 0.6608695652173913%
Diptarka Hait 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 46 45/46 0.9782608695652174%
Dirk Trauner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 372 367/372 0.9865591397849462%
E. Chui-Ying Yan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 75 72/75 0.96%
E. James Petersson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Elizabeth Rhoades 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 92 92/92 1.0%
Emily Balskus 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 118 117/118 0.9915254237288136%
Emily Sprague-Klein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 33 25/33 0.7575757575757576%
Eric Arsenault 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 30 27/30 0.9%
Eric Heller 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Eric J. Schelter 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 99 99/99 1.0%
Erik Thiede 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 28 25/28 0.8928571428571429%
Eugene I. Shakhnovich 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
Eunsuk Kim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 85 83/85 0.9764705882352941%
F. Jon Kull 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 40 37/40 0.925%
Frank C. Schroeder 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 96 96/96 1.0%
Gary Brudvig 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 98 98/98 1.0%
Gregory Sion Ezra 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 92 92/92 1.0%
Hailiang Wang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 74 74/74 1.0%
Hongkun Park 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 92 92/92 1.0%
Ivan Aprahamian 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 104 102/104 0.9807692307692307%
Ivan J. Dmochowski 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 192 131/192 0.6822916666666666%
Jaehyeok Jin 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 35 31/35 0.8857142857142857%
James G. Anderson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 201 26/201 0.12935323383084577%
James Mayer 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Jane E. G. Lipson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Jarad Mason 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 97 79/97 0.8144329896907216%
Jason M. Crawford 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 90 90/90 1.0%
Jeffrey D. Winkler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 178 160/178 0.898876404494382%
Jeffrey R. Long 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 421 85/421 0.20190023752969122%
Jeremy M. Baskin 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 84 84/84 1.0%
Jerome Robinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 39 39/39 1.0%
Jimmy Wu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 48 47/48 0.9791666666666666%
John A. Marohn 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 76 68/76 0.8947368421052632%
Jon Ellman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 356 345/356 0.9691011235955056%
Jonathan A. Kephart 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 15 12/15 0.8%
Jonathan S. Owen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 73 7/73 0.0958904109589041%
Joonho Lee 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 92 92/92 1.0%
Joseph Subotnik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 251 208/251 0.8286852589641435%
Joshua Rabinowitz 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 83 83/83 1.0%
Kai Chen 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 39 38/39 0.9743589743589743%
Kang-Kuen Ni 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 125 64/125 0.512%
Katherine A. Mirica 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 87 87/87 1.0%
Kyle M. Lancaster 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 119 118/119 0.9915966386554622%
Lai-Sheng Wang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 522 203/522 0.3888888888888889%
Laura J. Kaufman 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 93 77/93 0.8279569892473119%
Leslie Schoop 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 91 91/91 1.0%
Lilia Xie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 22 21/22 0.9545454545454546%
Luis M. Campos 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 95 95/95 1.0%
Makeda Tekle-Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 8/13 0.6153846153846154%
Marissa Lavagnino 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 7/7 1.0%
Marissa Weichman 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 50 50/50 1.0%
Mark Johnson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 196 191/196 0.9744897959183674%
Marsha I. Lester 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 99 99/99 1.0%
Matthew Coley-O'Rourke 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 11 11/11 1.0%
Matthew Zimmt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 83 82/83 0.9879518072289156%
Megan Kizer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 23 20/23 0.8695652173913043%
Megan L. Matthews 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 50 45/50 0.9%
Michael Hecht 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 125 121/125 0.968%
Michael J. Ragusa 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 43 39/43 0.9069767441860465%
Miguel I. Gonzalez 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 67 63/67 0.9402985074626866%
Ming Xian 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
Monica E. McCallum 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Nandini Ananth 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 46 40/46 0.8695652173913043%
Neel H. Shah 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 45 42/45 0.9333333333333333%
Neil C. Tomson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 76 50/76 0.6578947368421053%
Nilay Hazari 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 131 126/131 0.9618320610687023%
Ou Chen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 155 130/155 0.8387096774193549%
Pamela Chang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 30 27/30 0.9%
Patrick Holland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 231 214/231 0.9264069264069265%
Patrick J. Walsh 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 314 300/314 0.9554140127388535%
Paul Chirik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 207 207/207 1.0%
Paul Robustelli 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 31 31/31 1.0%
Paul Williard 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 238 187/238 0.7857142857142857%
Peng Chen 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 89 88/89 0.9887640449438202%
Peter Weber 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 119 92/119 0.773109243697479%
Phillip Milner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 116 95/116 0.8189655172413793%
Ralph Kleiner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 41 41/41 1.0%
Richard Stratt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 117 111/117 0.9487179487179487%
Richard Y. Liu 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 47 46/47 0.9787234042553191%
Robert A. DiStasio Jr. 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 159 87/159 0.5471698113207547%
Robert Knowles 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 83 79/83 0.9518072289156626%
Roberto Car 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 98 98/98 1.0%
Ruben L Gonzalez Jr 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 70 61/70 0.8714285714285714%
Salvatore Torquato 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 493 461/493 0.9350912778904665%
Sarah Delaney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 46 46/46 1.0%
Sarah Slavoff 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 36 36/36 1.0%
Seth Herzon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 65 65/65 1.0%
Sharon Hammes-Schiffer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 422 222/422 0.5260663507109005%
Shouheng Sun 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 324 300/324 0.9259259259259259%
Squire J. Booker 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Stacy Malaker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 64 60/64 0.9375%
Suyang Xu 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 76 76/76 1.0%
Theodore Betley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 89 10/89 0.11235955056179775%
Tianquan “Tim” Lian 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 281 264/281 0.9395017793594306%
Tianyu Zhu 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 38 37/38 0.9736842105263158%
Timothy C Berkelbach 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Timothy Newhouse 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 86 69/86 0.8023255813953488%
Tobias Baumgart 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 96 96/96 1.0%
Tom Muir 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 236 225/236 0.9533898305084746%
Tomislav Rovis 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 161 159/161 0.9875776397515528%
Tristan Lambert 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 117 95/117 0.811965811965812%
Virginia W. Cornish 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 76 75/76 0.9868421052631579%
Wenlin Zhang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 49 30/49 0.6122448979591837%
William Jorgensen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 453 431/453 0.9514348785871964%
William M. Jacobs 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 40 40/40 1.0%
Xavier Roy 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Xiaowei Zhuang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 192 189/192 0.984375%
Xiaoyang Zhu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 291 291/291 1.0%
Xin Qi 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 20 20/20 1.0%
Yao Yang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 80 76/80 0.95%
Yifan Quan 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 25 21/25 0.84%
Yusong Bai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 49 33/49 0.673469387755102%
Zahra Fakhraai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 191 92/191 0.4816753926701571%
  • 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 198 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
Amymarie Bartholomew 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Andrew Musser 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Andrew Myers 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Brett P. Fors 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Brian Crane 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Christopher B. Murray 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Dalibor Sames 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Dan Kahne 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Daniel G. Nocera 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Daniel J. Mindiola 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
David B. Collum 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
David B. Zax 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
David R. Reichman 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Ekaterina V. Pletneva 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Eric Jacobsen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Erik J. Sorensen 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Erin E. Stache 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Geoffrey W. Coates 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Gerard Parkin 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Gregory Scholes 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
H. Floyd Davis 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Haw Yang 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Herschel Rabitz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Héctor D. Abruña 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
J. Patrick Loria 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jack R. Norton 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
James J. Valentini 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
James L. Leighton 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jannette Carey 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Jeffery G. Saven 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
John T. Groves 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Jose Roque 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Karen I. Goldberg 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Kurt Zilm 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Mahima Sneha 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Marisa C. Kozlowski 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Matthew Shair 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Melissa A. Hines 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Michelle Chang 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Milan E. Delor 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Mircea Dincă 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Mohammad R. Seyedsayamdost 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Patrick Vaccaro 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Peter T. Wolczanski 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Richard A. Cerione 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Richard A. Friesner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Robert J. Cava 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Scott Miller 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Stephen Lee 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Thomas E. Mallouk 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Todd K. Hyster 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Victor Batista 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Virgil Percec 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Wei Min 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Youn Jue (Eunice) Bae 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Yuting Zhou 1 0/1 0.0% 0/1 0.0% 0/1 0.0% 0
Martin F. Semmelhack 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 0/2 0.0%
Nozomi Ando 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 0/1 0.0%
Abraham Nitzan 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 406 394/406 0.9704433497536946%
Adam Cohen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 124 119/124 0.9596774193548387%
Alice Kunin 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 18 14/18 0.7777777777777778%
Amit Basu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 34 32/34 0.9411764705882353%
Andrew B. Bocarsly 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Andrew M. Rappe 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 98 98/98 1.0%
Andrew Zahrt 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 19 18/19 0.9473684210526315%
Angelo Cacciuto 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 83 74/83 0.891566265060241%
Ann E. McDermott 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 98 98/98 1.0%
Barbara A. Baird 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 194 193/194 0.9948453608247423%
Benjamin McDonald 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 14/16 0.875%
Brenda Rubenstein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 118 71/118 0.6016949152542372%
Brian Liau 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 52 41/52 0.7884615384615384%
Bruce Ganem 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 99 99/99 1.0%
Caitlin Davis 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 64 35/64 0.546875%
Christina Woo 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 80 75/80 0.9375%
Christoph Rose-Petruck 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 81 54/81 0.6666666666666666%
Christopher J. Chang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
Colin P. Nuckolls 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
Dale F. Mierke 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
David M. Chenoweth 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 90 90/90 1.0%
David MacMillan 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
David R. Liu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 324 99/324 0.3055555555555556%
David S. Glueck 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 94 94/94 1.0%
David Spiegel 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 10/12 0.8333333333333334%
David W. Christianson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 99 99/99 1.0%
Dean E. Wilcox 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 115 76/115 0.6608695652173913%
Diptarka Hait 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 46 45/46 0.9782608695652174%
Dirk Trauner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 372 367/372 0.9865591397849462%
E. Chui-Ying Yan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 75 72/75 0.96%
E. James Petersson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Elizabeth Rhoades 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 92 92/92 1.0%
Emily Balskus 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 118 117/118 0.9915254237288136%
Emily Sprague-Klein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 33 25/33 0.7575757575757576%
Eric Arsenault 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 30 27/30 0.9%
Eric Heller 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Eric J. Schelter 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 99 99/99 1.0%
Erik Thiede 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 28 25/28 0.8928571428571429%
Eugene I. Shakhnovich 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
Eunsuk Kim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 85 83/85 0.9764705882352941%
F. Jon Kull 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 40 37/40 0.925%
Frank C. Schroeder 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 96 96/96 1.0%
Gary Brudvig 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 98 98/98 1.0%
Gregory Sion Ezra 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 92 92/92 1.0%
Hailiang Wang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 74 74/74 1.0%
Hongkun Park 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 92 92/92 1.0%
Ivan Aprahamian 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 104 102/104 0.9807692307692307%
Ivan J. Dmochowski 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 192 131/192 0.6822916666666666%
Jaehyeok Jin 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 35 31/35 0.8857142857142857%
James G. Anderson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 201 26/201 0.12935323383084577%
James Mayer 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Jane E. G. Lipson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Jarad Mason 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 97 79/97 0.8144329896907216%
Jason M. Crawford 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 90 90/90 1.0%
Jeffrey D. Winkler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 178 160/178 0.898876404494382%
Jeffrey R. Long 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 421 85/421 0.20190023752969122%
Jeremy M. Baskin 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 84 84/84 1.0%
Jerome Robinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 39 39/39 1.0%
Jimmy Wu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 48 47/48 0.9791666666666666%
John A. Marohn 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 76 68/76 0.8947368421052632%
Jon Ellman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 356 345/356 0.9691011235955056%
Jonathan A. Kephart 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 15 12/15 0.8%
Jonathan S. Owen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 73 7/73 0.0958904109589041%
Joonho Lee 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 92 92/92 1.0%
Joseph Subotnik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 251 208/251 0.8286852589641435%
Joshua Rabinowitz 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 83 83/83 1.0%
Kai Chen 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 39 38/39 0.9743589743589743%
Kang-Kuen Ni 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 125 64/125 0.512%
Katherine A. Mirica 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 87 87/87 1.0%
Kyle M. Lancaster 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 119 118/119 0.9915966386554622%
Lai-Sheng Wang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 522 203/522 0.3888888888888889%
Laura J. Kaufman 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 93 77/93 0.8279569892473119%
Leslie Schoop 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 91 91/91 1.0%
Lilia Xie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 22 21/22 0.9545454545454546%
Luis M. Campos 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 95 95/95 1.0%
Makeda Tekle-Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 8/13 0.6153846153846154%
Marissa Lavagnino 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 7 7/7 1.0%
Marissa Weichman 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 50 50/50 1.0%
Mark Johnson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 196 191/196 0.9744897959183674%
Marsha I. Lester 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 99 99/99 1.0%
Matthew Coley-O'Rourke 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 11 11/11 1.0%
Matthew Zimmt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 83 82/83 0.9879518072289156%
Megan Kizer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 23 20/23 0.8695652173913043%
Megan L. Matthews 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 50 45/50 0.9%
Michael Hecht 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 125 121/125 0.968%
Michael J. Ragusa 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 43 39/43 0.9069767441860465%
Miguel I. Gonzalez 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 67 63/67 0.9402985074626866%
Ming Xian 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 100 100/100 1.0%
Monica E. McCallum 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 13 12/13 0.9230769230769231%
Nandini Ananth 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 46 40/46 0.8695652173913043%
Neel H. Shah 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 45 42/45 0.9333333333333333%
Neil C. Tomson 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 76 50/76 0.6578947368421053%
Nilay Hazari 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 131 126/131 0.9618320610687023%
Ou Chen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 155 130/155 0.8387096774193549%
Pamela Chang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 30 27/30 0.9%
Patrick Holland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 231 214/231 0.9264069264069265%
Patrick J. Walsh 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 314 300/314 0.9554140127388535%
Paul Chirik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 207 207/207 1.0%
Paul Robustelli 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 31 31/31 1.0%
Paul Williard 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 238 187/238 0.7857142857142857%
Peng Chen 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 89 88/89 0.9887640449438202%
Peter Weber 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 119 92/119 0.773109243697479%
Phillip Milner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 116 95/116 0.8189655172413793%
Ralph Kleiner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 41 41/41 1.0%
Richard Stratt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 117 111/117 0.9487179487179487%
Richard Y. Liu 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 47 46/47 0.9787234042553191%
Robert A. DiStasio Jr. 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 159 87/159 0.5471698113207547%
Robert Knowles 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 83 79/83 0.9518072289156626%
Roberto Car 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 98 98/98 1.0%
Ruben L Gonzalez Jr 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 70 61/70 0.8714285714285714%
Salvatore Torquato 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 493 461/493 0.9350912778904665%
Sarah Delaney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 46 46/46 1.0%
Sarah Slavoff 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 36 36/36 1.0%
Seth Herzon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 65 65/65 1.0%
Sharon Hammes-Schiffer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 422 222/422 0.5260663507109005%
Shouheng Sun 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 324 300/324 0.9259259259259259%
Squire J. Booker 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Stacy Malaker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 64 60/64 0.9375%
Suyang Xu 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 76 76/76 1.0%
Theodore Betley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 89 10/89 0.11235955056179775%
Tianquan “Tim” Lian 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 281 264/281 0.9395017793594306%
Tianyu Zhu 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 38 37/38 0.9736842105263158%
Timothy C Berkelbach 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Timothy Newhouse 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 86 69/86 0.8023255813953488%
Tobias Baumgart 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 96 96/96 1.0%
Tom Muir 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 236 225/236 0.9533898305084746%
Tomislav Rovis 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 161 159/161 0.9875776397515528%
Tristan Lambert 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 117 95/117 0.811965811965812%
Virginia W. Cornish 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 76 75/76 0.9868421052631579%
Wenlin Zhang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 49 30/49 0.6122448979591837%
William Jorgensen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 453 431/453 0.9514348785871964%
William M. Jacobs 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 40 40/40 1.0%
Xavier Roy 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 97 97/97 1.0%
Xiaowei Zhuang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 192 189/192 0.984375%
Xiaoyang Zhu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 291 291/291 1.0%
Xin Qi 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 20 20/20 1.0%
Yao Yang 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 80 76/80 0.95%
Yifan Quan 1 0/1 0.0% 1/1 1.0% 0/1 0.0% 25 21/25 0.84%
Yusong Bai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 49 33/49 0.673469387755102%
Zahra Fakhraai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 191 92/191 0.4816753926701571%
  • 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.02550751–4 Academics 115–9 Academics 7710–19 Academics 171720–39 Academics 404040+ Academics 75751–45–910–1920–3940+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 112 academics, OpenAlex citations of CV works for 28, 58 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 198 89/198 0.4494949494949495% 112/198 0.5656565656565656% 89/198 0.4494949494949495% 15497 13007/15497 0.8393237400787249%
  • 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 3636FullFull 2727AssociateAssociate 66AssistantAssistant 1818PostdocPostdoc 11UnknownUnknown 110110020406080100RankAcademics

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 198 89/198 0.4494949494949495% 112/198 0.5656565656565656% 89/198 0.4494949494949495% 15497 13007/15497 0.8393237400787249%
  • 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.Jarad Mason · Jeffrey R. LongJarad Mason · Jeffrey R. Long 3434Jeffrey R. Long · Miguel I. GonzalezJeffrey R. Long · Miguel I. Gonzalez 3030Xavier Roy · Xiaoyang ZhuXavier Roy · Xiaoyang Zhu 3030Abraham Nitzan · Joseph SubotnikAbraham Nitzan · Joseph Subotnik 2929Jeffrey R. Long · Phillip MilnerJeffrey R. Long · Phillip Milner 1919Jerome Robinson · Patrick J. WalshJerome Robinson · Patrick J. Walsh 1616Christopher J. Chang · Jeffrey R. LongChristopher J. Chang · Jeffrey R. Long 1313Eric J. Schelter · Patrick J. WalshEric J. Schelter · Patrick J. Walsh 1212Christina Woo · Seth HerzonChristina Woo · Seth Herzon 1111Colin P. Nuckolls · Xiaoyang ZhuColin P. Nuckolls · Xiaoyang Zhu 1111Jarad Mason · Miguel I. GonzalezJarad Mason · Miguel I. Gonzalez 1111Neel H. Shah · Tom MuirNeel H. Shah · Tom Muir 1111Xiaoyang Zhu · Yusong BaiXiaoyang Zhu · Yusong Bai 1010E. Chui-Ying Yan · Sharon Hammes-SchifferE. Chui-Ying Yan · Sharon Hammes-Schiffer 99Eric J. Schelter · Jerome RobinsonEric J. Schelter · Jerome Robinson 880102030PairShared works

The pairs of the 198 selected academics who share the most of these works. 473 of the 15,497 selected works are held by two of them, making 168 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 198 89/198 0.4494949494949495% 112/198 0.5656565656565656% 89/198 0.4494949494949495% 15497 13007/15497 0.8393237400787249%
  • 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

Pick two academics to see how many of the selected works they share.