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 Harvard Chemistry 11 academics 8,479
2 Cornell Chemistry 6 academics 5,560
3 Columbia Chemistry 7 academics 4,200
4 Penn Chemistry 10 academics 2,837
5 Yale Chemistry 11 academics 2,422
6 Princeton Chemistry 20 academics 2,274
7 Brown Chemistry 17 academics 1,578
8 Dartmouth Chemistry 5 academics 1,354

284,700 citations over 3,035 of 3,992 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 over time

Works published in each year
Measure X axis Each point

Brown ChemistryDartmouth ChemistryColumbia ChemistryCornell ChemistryHarvard ChemistryPenn ChemistryPrinceton ChemistryYale Chemistry

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
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 798 630/798 0.7894736842105263%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 582 392/582 0.6735395189003437%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 792 425/792 0.5366161616161617%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 392 372/392 0.9489795918367347%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 704 616/704 0.875%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 246 207/246 0.8414634146341463%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 353 286/353 0.8101983002832861%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 125 107/125 0.856%
  • 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

Brown ChemistryDartmouth ChemistryColumbia ChemistryCornell ChemistryHarvard ChemistryPenn ChemistryPrinceton ChemistryYale Chemistry

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
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 798 630/798 0.7894736842105263%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 582 392/582 0.6735395189003437%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 792 425/792 0.5366161616161617%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 392 372/392 0.9489795918367347%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 704 616/704 0.875%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 246 207/246 0.8414634146341463%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 353 286/353 0.8101983002832861%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 125 107/125 0.856%
  • 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.05101520Brown Tenure track 1717Dartmouth Tenure track 55Columbia Tenure track 77Cornell Tenure track 66Harvard Tenure track 1111Penn Tenure track 1010Princeton Tenure track 2020Yale Tenure track 1111BrownDartmouthColumbiaCornellHarvardPennPrincetonYaleAcademicsDepartment

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
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 798 630/798 0.7894736842105263%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 582 392/582 0.6735395189003437%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 792 425/792 0.5366161616161617%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 392 372/392 0.9489795918367347%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 704 616/704 0.875%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 246 207/246 0.8414634146341463%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 353 286/353 0.8101983002832861%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 125 107/125 0.856%
  • 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: Brown Chemistry, Dartmouth Chemistry, Columbia Chemistry, Cornell Chemistry, Harvard Chemistry, Penn Chemistry, Princeton Chemistry, Yale Chemistry.0.05,000.010,000.015,000.020,000.0Distinguished Brown Chemistry over 6 academics 1,166.0Distinguished Dartmouth Chemistry over 2 academics 1,888.5Distinguished Columbia Chemistry over 2 academics 10,207.0Distinguished Cornell Chemistry over 1 academics 441.0Distinguished Harvard Chemistry over 7 academics 5,763.0Distinguished Penn Chemistry over 3 academics 2,443.0Distinguished Princeton Chemistry over 9 academics 4,567.0Distinguished Yale Chemistry over 6 academics 2,112.0Full Brown Chemistry over 6 academics 172.5Full Dartmouth Chemistry over 1 academics 304.0Full Columbia Chemistry over 3 academics 942.0Full Cornell Chemistry over 3 academics 3,813.0Full Harvard Chemistry over 3 academics 3,393.0Full Penn Chemistry over 4 academics 4,077.0Full Princeton Chemistry over 5 academics 0.0Full Yale Chemistry over 2 academics 2,276.5Associate Cornell Chemistry over 1 academics 4,644.0Associate Harvard Chemistry over 1 academics 4,967.0Associate Penn Chemistry over 1 academics 2,452.0Associate Princeton Chemistry over 1 academics 1,404.0Associate Yale Chemistry over 2 academics 3,339.0Assistant Brown Chemistry over 5 academics 476.0Assistant Dartmouth Chemistry over 2 academics 1,345.0Assistant Columbia Chemistry over 2 academics 2,322.0Assistant Cornell Chemistry over 1 academics 18,169.0Assistant Penn Chemistry over 2 academics 541.5Assistant Princeton Chemistry over 5 academics 957.0Assistant Yale Chemistry over 1 academics 0.0DistinguishedFullAssociateAssistantMedian citations per academicRank

Brown ChemistryDartmouth ChemistryColumbia ChemistryCornell ChemistryHarvard ChemistryPenn ChemistryPrinceton ChemistryYale Chemistry

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
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 798 630/798 0.7894736842105263%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 582 392/582 0.6735395189003437%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 792 425/792 0.5366161616161617%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 392 372/392 0.9489795918367347%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 704 616/704 0.875%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 246 207/246 0.8414634146341463%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 353 286/353 0.8101983002832861%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 125 107/125 0.856%
  • 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: Brown Chemistry, Dartmouth Chemistry, Columbia Chemistry, Cornell Chemistry, Harvard Chemistry, Penn Chemistry, Princeton Chemistry, Yale Chemistry.010000200003000040000500001 Brown Chemistry Ou Chen 72111 Dartmouth Chemistry Ivan Aprahamian 37571 Columbia Chemistry Xiaoyang Zhu 193571 Cornell Chemistry Robert A. DiStasio Jr. 181691 Harvard Chemistry David R. Liu 486371 Penn Chemistry Dirk Trauner 76861 Princeton Chemistry Sharon Hammes-Schiffer 82121 Yale Chemistry Patrick Holland 62592 Brown Chemistry Shouheng Sun 70522 Dartmouth Chemistry Paul Robustelli 21422 Columbia Chemistry Diptarka Hait 41792 Cornell Chemistry Kyle M. Lancaster 62962 Harvard Chemistry Xiaowei Zhuang 158522 Penn Chemistry Tianquan “Tim” Lian 53792 Princeton Chemistry Tom Muir 68252 Yale Chemistry William Jorgensen 49243 Brown Chemistry Yusong Bai 40193 Dartmouth Chemistry Wenlin Zhang 5483 Columbia Chemistry Tomislav Rovis 34033 Cornell Chemistry Phillip Milner 46443 Harvard Chemistry Emily Balskus 59373 Penn Chemistry Patrick J. Walsh 50703 Princeton Chemistry Paul Chirik 53153 Yale Chemistry Stacy Malaker 46364 Brown Chemistry Brenda Rubenstein 21094 Dartmouth Chemistry Jimmy Wu 3044 Columbia Chemistry Virginia W. Cornish 10574 Cornell Chemistry Tristan Lambert 38134 Harvard Chemistry Jeffrey R. Long 57634 Penn Chemistry Abraham Nitzan 30844 Princeton Chemistry Robert Knowles 52644 Yale Chemistry Nilay Hazari 39605 Brown Chemistry Lai-Sheng Wang 19385 Dartmouth Chemistry F. Jon Kull 205 Columbia Chemistry Jonathan S. Owen 9425 Cornell Chemistry Barbara A. Baird 4415 Harvard Chemistry Kang-Kuen Ni 52485 Penn Chemistry Zahra Fakhraai 24525 Princeton Chemistry Joseph Subotnik 51575 Yale Chemistry Jon Ellman 364112345CitationsRank

Brown ChemistryDartmouth ChemistryColumbia ChemistryCornell ChemistryHarvard ChemistryPenn ChemistryPrinceton ChemistryYale Chemistry

Rank 5 of 20 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
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.

Years to promotion

From the PhD to each rank
Series: Brown Chemistry, Dartmouth Chemistry, Cornell Chemistry, Harvard Chemistry, Penn Chemistry, Princeton Chemistry, Yale Chemistry.0.05.010.015.020.0Associate Brown Chemistry median of 2 academics 10.510.5Associate Cornell Chemistry median of 2 academics 8.58.5Associate Harvard Chemistry median of 3 academics 9.09.0Associate Penn Chemistry median of 1 academics 10.010.0Associate Princeton Chemistry median of 1 academics 13.013.0Associate Yale Chemistry median of 2 academics 10.010.0Full or distinguished Brown Chemistry median of 4 academics 17.017.0Full or distinguished Dartmouth Chemistry median of 2 academics 15.015.0Full or distinguished Cornell Chemistry median of 1 academics 12.012.0Full or distinguished Harvard Chemistry median of 3 academics 11.011.0Full or distinguished Princeton Chemistry median of 2 academics 9.59.5AssociateFull or distinguishedYears since the PhDRank reached

Brown ChemistryDartmouth ChemistryCornell ChemistryHarvard ChemistryPenn ChemistryPrinceton ChemistryYale Chemistry

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
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 798 630/798 0.7894736842105263%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 582 392/582 0.6735395189003437%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 792 425/792 0.5366161616161617%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 392 372/392 0.9489795918367347%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 704 616/704 0.875%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 246 207/246 0.8414634146341463%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 353 286/353 0.8101983002832861%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 125 107/125 0.856%
  • 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.Journal of the American Chemical SocietyJournal of the American Chemical Society 471471The Journal of Chemical PhysicsThe Journal of Chemical Physics 190190Angewandte Chemie International EditionAngewandte Chemie International Edition 122122Chemical ScienceChemical Science 121121Nature CommunicationsNature Communications 109109Proceedings of the National Academy of SciencesProceedings of the National Academy of Sciences 9797The Journal of Physical Chemistry LettersThe Journal of Physical Chemistry Letters 9696Bulletin of the American Physical SocietyBulletin of the American Physical Society 7373Journal of Chemical Theory and ComputationJournal of Chemical Theory and Computation 7171ScienceScience 6767NatureNature 6565Inorganic ChemistryInorganic Chemistry 6464Organic LettersOrganic Letters 5757The Journal of Physical Chemistry CThe Journal of Physical Chemistry C 5252ACS CatalysisACS Catalysis 51510100200300400JournalWorks

The twelve venues highest on this reading, of 444.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 798 630/798 0.7894736842105263%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 582 392/582 0.6735395189003437%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 792 425/792 0.5366161616161617%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 392 372/392 0.9489795918367347%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 704 616/704 0.875%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 246 207/246 0.8414634146341463%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 353 286/353 0.8101983002832861%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 125 107/125 0.856%
  • 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.