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 87 academics
1 Diptarka Hait Columbia Chemistry · Assistant · 1 years in post 4,179.0
2 David R. Liu Harvard Chemistry · Distinguished · 27 years in post 1,801.4
3 Robert A. DiStasio Jr. Cornell Chemistry · Assistant · 11 years in post 1,651.7
4 Yusong Bai Brown Chemistry · Assistant · 4 years in post 1,004.8
5 Lilia Xie Princeton Chemistry · Assistant · 1 years in post 966.0
6 Stacy Malaker Yale Chemistry · Associate · 5 years in post 927.2
7 Ou Chen Brown Chemistry · Full · 11 years in post 655.5
8 Xiaowei Zhuang Harvard Chemistry · Distinguished · 25 years in post 634.1
9 Jarad Mason Harvard Chemistry · Associate · 8 years in post 620.9
10 Xiaoyang Zhu Columbia Chemistry · Distinguished · 33 years in post 586.6
11 Phillip Milner Cornell Chemistry · Associate · 8 years in post 580.5
12 Kyle M. Lancaster Cornell Chemistry · Full · 14 years in post 449.7
13 Kang-Kuen Ni Harvard Chemistry · Full · 13 years in post 403.7
14 Emily Balskus Harvard Chemistry · Distinguished · 15 years in post 395.8
15 Megan Kizer Brown Chemistry · Assistant · 3 years in post 386.0

269,032 citations over 2,946 of 3,901 works (76% carry a count). 71 of 87 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 86 of 87 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 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 3901 2946/3901 0.755190976672648%
  • 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 86 of 87 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 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 3901 2946/3901 0.755190976672648%
  • 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 87 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
Andrew B. Bocarsly 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
David Spiegel 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Eric Jacobsen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Erin E. Stache 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Gregory Scholes 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Herschel Rabitz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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
Mark Johnson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Martin F. Semmelhack 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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
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
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% 66 65/66 0.9848484848484849%
Adam Cohen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 54 52/54 0.9629629629629629%
Amit Basu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 6/6 1.0%
Barbara A. Baird 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 22 22/22 1.0%
Benjamin McDonald 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 12/14 0.8571428571428571%
Brenda Rubenstein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 108 66/108 0.6111111111111112%
Christina Woo 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 62 57/62 0.9193548387096774%
Christoph Rose-Petruck 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
David R. Liu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 177 47/177 0.2655367231638418%
Diptarka Hait 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 44 43/44 0.9772727272727273%
Dirk Trauner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 161 159/161 0.9875776397515528%
E. Chui-Ying Yan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 22 21/22 0.9545454545454546%
Emily Balskus 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 73 73/73 1.0%
Emily Sprague-Klein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 33 25/33 0.7575757575757576%
Eunsuk Kim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 20/20 1.0%
F. Jon Kull 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Ivan Aprahamian 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 54 52/54 0.9629629629629629%
Ivan J. Dmochowski 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 59 52/59 0.8813559322033898%
James G. Anderson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 11/20 0.55%
Jarad Mason 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 60 46/60 0.7666666666666667%
Jeffrey D. Winkler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 43 34/43 0.7906976744186046%
Jeffrey R. Long 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 167 39/167 0.23353293413173654%
Jerome Robinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 22 22/22 1.0%
Jimmy Wu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 13/13 1.0%
Jon Ellman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 69 68/69 0.9855072463768116%
Jonathan S. Owen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 38 4/38 0.10526315789473684%
Joseph Subotnik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 155 133/155 0.8580645161290322%
Kang-Kuen Ni 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 88 45/88 0.5113636363636364%
Kyle M. Lancaster 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 80 80/80 1.0%
Lai-Sheng Wang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 90 16/90 0.17777777777777778%
Lilia Xie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 17/17 1.0%
Makeda Tekle-Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 8/12 0.6666666666666666%
Marissa Weichman 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 31 31/31 1.0%
Matthew Zimmt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 4/4 1.0%
Megan Kizer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 22 19/22 0.8636363636363636%
Megan L. Matthews 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 29 25/29 0.8620689655172413%
Michael Hecht 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 24 24/24 1.0%
Monica E. McCallum 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Nilay Hazari 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 38 36/38 0.9473684210526315%
Ou Chen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 112 95/112 0.8482142857142857%
Patrick Holland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 85 82/85 0.9647058823529412%
Patrick J. Walsh 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 103 102/103 0.9902912621359223%
Paul Chirik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 68 68/68 1.0%
Paul Robustelli 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 17/17 1.0%
Paul Williard 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 12/17 0.7058823529411765%
Peter Weber 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 39 15/39 0.38461538461538464%
Phillip Milner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 104 85/104 0.8173076923076923%
Ralph Kleiner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 29 29/29 1.0%
Richard Stratt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
Robert A. DiStasio Jr. 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 76 45/76 0.5921052631578947%
Robert Knowles 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 62 58/62 0.9354838709677419%
Salvatore Torquato 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 115 106/115 0.9217391304347826%
Sarah Delaney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 20/20 1.0%
Seth Herzon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 11/11 1.0%
Sharon Hammes-Schiffer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 212 82/212 0.3867924528301887%
Shouheng Sun 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 56 54/56 0.9642857142857143%
Stacy Malaker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 62 58/62 0.9354838709677419%
Theodore Betley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 43 8/43 0.18604651162790697%
Tianquan “Tim” Lian 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 121 119/121 0.9834710743801653%
Timothy Newhouse 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 62 53/62 0.8548387096774194%
Tom Muir 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 63 59/63 0.9365079365079365%
Tomislav Rovis 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 25 25/25 1.0%
Tristan Lambert 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 75 58/75 0.7733333333333333%
Virginia W. Cornish 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 13/13 1.0%
Wenlin Zhang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 24/40 0.6%
William Jorgensen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 43 43/43 1.0%
William M. Jacobs 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 31 31/31 1.0%
Xiaowei Zhuang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 58 57/58 0.9827586206896551%
Xiaoyang Zhu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 115 115/115 1.0%
Yusong Bai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 38 26/38 0.6842105263157895%
Zahra Fakhraai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 118 57/118 0.4830508474576271%
  • 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 87 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
Andrew B. Bocarsly 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
David Spiegel 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Eric Jacobsen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Erin E. Stache 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Gregory Scholes 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Herschel Rabitz 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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
Mark Johnson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Martin F. Semmelhack 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 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
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
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% 66 65/66 0.9848484848484849%
Adam Cohen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 54 52/54 0.9629629629629629%
Amit Basu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 6/6 1.0%
Barbara A. Baird 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 22 22/22 1.0%
Benjamin McDonald 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 12/14 0.8571428571428571%
Brenda Rubenstein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 108 66/108 0.6111111111111112%
Christina Woo 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 62 57/62 0.9193548387096774%
Christoph Rose-Petruck 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 10 8/10 0.8%
David R. Liu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 177 47/177 0.2655367231638418%
Diptarka Hait 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 44 43/44 0.9772727272727273%
Dirk Trauner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 161 159/161 0.9875776397515528%
E. Chui-Ying Yan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 22 21/22 0.9545454545454546%
Emily Balskus 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 73 73/73 1.0%
Emily Sprague-Klein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 33 25/33 0.7575757575757576%
Eunsuk Kim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 20 20/20 1.0%
F. Jon Kull 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Ivan Aprahamian 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 54 52/54 0.9629629629629629%
Ivan J. Dmochowski 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 59 52/59 0.8813559322033898%
James G. Anderson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 11/20 0.55%
Jarad Mason 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 60 46/60 0.7666666666666667%
Jeffrey D. Winkler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 43 34/43 0.7906976744186046%
Jeffrey R. Long 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 167 39/167 0.23353293413173654%
Jerome Robinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 22 22/22 1.0%
Jimmy Wu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 13/13 1.0%
Jon Ellman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 69 68/69 0.9855072463768116%
Jonathan S. Owen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 38 4/38 0.10526315789473684%
Joseph Subotnik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 155 133/155 0.8580645161290322%
Kang-Kuen Ni 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 88 45/88 0.5113636363636364%
Kyle M. Lancaster 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 80 80/80 1.0%
Lai-Sheng Wang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 90 16/90 0.17777777777777778%
Lilia Xie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 17/17 1.0%
Makeda Tekle-Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 12 8/12 0.6666666666666666%
Marissa Weichman 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 31 31/31 1.0%
Matthew Zimmt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 4/4 1.0%
Megan Kizer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 22 19/22 0.8636363636363636%
Megan L. Matthews 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 29 25/29 0.8620689655172413%
Michael Hecht 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 24 24/24 1.0%
Monica E. McCallum 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Nilay Hazari 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 38 36/38 0.9473684210526315%
Ou Chen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 112 95/112 0.8482142857142857%
Patrick Holland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 85 82/85 0.9647058823529412%
Patrick J. Walsh 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 103 102/103 0.9902912621359223%
Paul Chirik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 68 68/68 1.0%
Paul Robustelli 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 17/17 1.0%
Paul Williard 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 17 12/17 0.7058823529411765%
Peter Weber 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 39 15/39 0.38461538461538464%
Phillip Milner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 104 85/104 0.8173076923076923%
Ralph Kleiner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 29 29/29 1.0%
Richard Stratt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 2 1/2 0.5%
Robert A. DiStasio Jr. 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 76 45/76 0.5921052631578947%
Robert Knowles 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 62 58/62 0.9354838709677419%
Salvatore Torquato 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 115 106/115 0.9217391304347826%
Sarah Delaney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 20 20/20 1.0%
Seth Herzon 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 11/11 1.0%
Sharon Hammes-Schiffer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 212 82/212 0.3867924528301887%
Shouheng Sun 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 56 54/56 0.9642857142857143%
Stacy Malaker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 62 58/62 0.9354838709677419%
Theodore Betley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 43 8/43 0.18604651162790697%
Tianquan “Tim” Lian 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 121 119/121 0.9834710743801653%
Timothy Newhouse 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 62 53/62 0.8548387096774194%
Tom Muir 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 63 59/63 0.9365079365079365%
Tomislav Rovis 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 25 25/25 1.0%
Tristan Lambert 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 75 58/75 0.7733333333333333%
Virginia W. Cornish 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 13/13 1.0%
Wenlin Zhang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 40 24/40 0.6%
William Jorgensen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 43 43/43 1.0%
William M. Jacobs 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 31 31/31 1.0%
Xiaowei Zhuang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 58 57/58 0.9827586206896551%
Xiaoyang Zhu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 115 115/115 1.0%
Yusong Bai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 38 26/38 0.6842105263157895%
Zahra Fakhraai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 118 57/118 0.4830508474576271%
  • 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.0102030401–4 Academics 115–9 Academics 4410–19 Academics 8820–39 Academics 232340+ Academics 38381–45–910–1920–3940+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 46 academics, OpenAlex citations of CV works for 28, 13 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 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 3901 2946/3901 0.755190976672648%
  • 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 18180102030RankAcademics

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 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 3901 2946/3901 0.755190976672648%
  • 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.Abraham Nitzan · Joseph SubotnikAbraham Nitzan · Joseph Subotnik 2323Jeffrey R. Long · Phillip MilnerJeffrey R. Long · Phillip Milner 1818Xiaoyang Zhu · Yusong BaiXiaoyang Zhu · Yusong Bai 1010E. Chui-Ying Yan · Sharon Hammes-SchifferE. Chui-Ying Yan · Sharon Hammes-Schiffer 99Jarad Mason · Jeffrey R. LongJarad Mason · Jeffrey R. Long 99Kyle M. Lancaster · Patrick HollandKyle M. Lancaster · Patrick Holland 88Joseph Subotnik · Sharon Hammes-SchifferJoseph Subotnik · Sharon Hammes-Schiffer 66Brenda Rubenstein · Eunsuk KimBrenda Rubenstein · Eunsuk Kim 55Jarad Mason · Phillip MilnerJarad Mason · Phillip Milner 55Kyle M. Lancaster · Theodore BetleyKyle M. Lancaster · Theodore Betley 55Brenda Rubenstein · Ou ChenBrenda Rubenstein · Ou Chen 44Brenda Rubenstein · Peter WeberBrenda Rubenstein · Peter Weber 44Brenda Rubenstein · Lai-Sheng WangBrenda Rubenstein · Lai-Sheng Wang 33Patrick J. Walsh · Zahra FakhraaiPatrick J. Walsh · Zahra Fakhraai 33Phillip Milner · Tristan LambertPhillip Milner · Tristan Lambert 3305101520PairShared works

The pairs of the 87 selected academics who share the most of these works. 141 of the 3,901 selected works are held by two of them, making 51 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 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 3901 2946/3901 0.755190976672648%
  • 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.