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 1,242
2 Cornell Chemistry 6 academics 629
3 Penn Chemistry 10 academics 604
4 Columbia Chemistry 7 academics 564
5 Princeton Chemistry 20 academics 529
6 Yale Chemistry 11 academics 351
7 Dartmouth Chemistry 5 academics 326
8 Brown Chemistry 17 academics 218

46,568 citations over 1,209 of 1,650 works (73% carry a count). 65 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% 373 270/373 0.7238605898123325%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 210 151/210 0.719047619047619%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 352 175/352 0.4971590909090909%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 147 135/147 0.9183673469387755%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 261 228/261 0.8735632183908046%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 78 66/78 0.8461538461538461%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 156 125/156 0.8012820512820513%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 73 59/73 0.8082191780821918%
  • 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% 373 270/373 0.7238605898123325%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 210 151/210 0.719047619047619%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 352 175/352 0.4971590909090909%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 147 135/147 0.9183673469387755%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 261 228/261 0.8735632183908046%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 78 66/78 0.8461538461538461%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 156 125/156 0.8012820512820513%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 73 59/73 0.8082191780821918%
  • 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% 373 270/373 0.7238605898123325%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 210 151/210 0.719047619047619%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 352 175/352 0.4971590909090909%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 147 135/147 0.9183673469387755%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 261 228/261 0.8735632183908046%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 78 66/78 0.8461538461538461%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 156 125/156 0.8012820512820513%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 73 59/73 0.8082191780821918%
  • 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.0.0500.01,000.01,500.02,000.0Distinguished Brown Chemistry over 6 academics 173.5Distinguished Dartmouth Chemistry over 2 academics 390.5Distinguished Columbia Chemistry over 2 academics 1,741.0Distinguished Cornell Chemistry over 1 academics 134.0Distinguished Harvard Chemistry over 7 academics 174.0Distinguished Penn Chemistry over 3 academics 121.0Distinguished Princeton Chemistry over 9 academics 469.0Distinguished Yale Chemistry over 6 academics 107.5Full Brown Chemistry over 6 academics 14.5Full Dartmouth Chemistry over 1 academics 23.0Full Columbia Chemistry over 3 academics 0.0Full Cornell Chemistry over 3 academics 285.0Full Harvard Chemistry over 3 academics 972.0Full Penn Chemistry over 4 academics 696.0Full Princeton Chemistry over 5 academics 0.0Full Yale Chemistry over 2 academics 87.5Associate Cornell Chemistry over 1 academics 1,461.0Associate Harvard Chemistry over 1 academics 1,348.0Associate Penn Chemistry over 1 academics 946.0Associate Princeton Chemistry over 1 academics 544.0Associate Yale Chemistry over 2 academics 855.5Assistant Brown Chemistry over 5 academics 176.0Assistant Dartmouth Chemistry over 2 academics 412.0Assistant Columbia Chemistry over 2 academics 226.0Assistant Cornell Chemistry over 1 academics 773.0Assistant Penn Chemistry over 2 academics 335.0Assistant Princeton Chemistry over 5 academics 218.0Assistant 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% 373 270/373 0.7238605898123325%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 210 151/210 0.719047619047619%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 352 175/352 0.4971590909090909%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 147 135/147 0.9183673469387755%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 261 228/261 0.8735632183908046%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 78 66/78 0.8461538461538461%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 156 125/156 0.8012820512820513%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 73 59/73 0.8082191780821918%
  • 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.0100020003000400050001 Brown Chemistry Ou Chen 11031 Dartmouth Chemistry Ivan Aprahamian 7811 Columbia Chemistry Xiaoyang Zhu 34821 Cornell Chemistry Phillip Milner 14611 Harvard Chemistry David R. Liu 41591 Penn Chemistry Tianquan “Tim” Lian 15991 Princeton Chemistry Michael Hecht 26091 Yale Chemistry Stacy Malaker 14752 Brown Chemistry Brenda Rubenstein 6742 Dartmouth Chemistry Paul Robustelli 6042 Columbia Chemistry Diptarka Hait 3412 Cornell Chemistry Tristan Lambert 11232 Harvard Chemistry Xiaowei Zhuang 37122 Penn Chemistry Dirk Trauner 11062 Princeton Chemistry Sharon Hammes-Schiffer 17652 Yale Chemistry Jon Ellman 11533 Brown Chemistry Yusong Bai 4943 Dartmouth Chemistry Wenlin Zhang 2203 Columbia Chemistry Makeda Tekle-Smith 1113 Cornell Chemistry Robert A. DiStasio Jr. 7733 Harvard Chemistry Jarad Mason 13483 Penn Chemistry Zahra Fakhraai 9463 Princeton Chemistry Robert Knowles 15623 Yale Chemistry Patrick Holland 6114 Brown Chemistry Shouheng Sun 4664 Dartmouth Chemistry Jimmy Wu 234 Columbia Chemistry Jonathan S. Owen 124 Cornell Chemistry Kyle M. Lancaster 2854 Harvard Chemistry Emily Balskus 13164 Penn Chemistry Abraham Nitzan 7114 Princeton Chemistry Joseph Subotnik 13924 Yale Chemistry Timothy Newhouse 2365 Brown Chemistry Lai-Sheng Wang 2535 Dartmouth Chemistry F. Jon Kull 05 Columbia Chemistry Richard A. Friesner 05 Cornell Chemistry Barbara A. Baird 1345 Harvard Chemistry Adam Cohen 10385 Penn Chemistry Patrick J. Walsh 6815 Princeton Chemistry Paul Chirik 6905 Yale Chemistry William Jorgensen 21512345CitationsRank

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 —
F. Jon Kull 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 —
Seth Herzon 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 —
Tomislav Rovis 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 —
Virginia W. Cornish 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0 —
Nilay Hazari 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%
Richard Stratt 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% 26 26/26 1.0%
Adam Cohen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 29 28/29 0.9655172413793104%
Amit Basu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 3/3 1.0%
Barbara A. Baird 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Benjamin McDonald 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 7 6/7 0.8571428571428571%
Brenda Rubenstein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 59 37/59 0.6271186440677966%
Christina Woo 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 38 34/38 0.8947368421052632%
Christoph Rose-Petruck 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 5 3/5 0.6%
David R. Liu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 91 8/91 0.08791208791208792%
Diptarka Hait 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 18 17/18 0.9444444444444444%
Dirk Trauner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 59 57/59 0.9661016949152542%
E. Chui-Ying Yan 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 9/9 1.0%
Emily Balskus 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 31 31/31 1.0%
Emily Sprague-Klein 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 24 17/24 0.7083333333333334%
Eunsuk Kim 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Ivan Aprahamian 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 29 27/29 0.9310344827586207%
Ivan J. Dmochowski 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 25 22/25 0.88%
James G. Anderson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 4/9 0.4444444444444444%
Jarad Mason 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 33 29/33 0.8787878787878788%
Jeffrey D. Winkler 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 4/8 0.5%
Jeffrey R. Long 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 49 3/49 0.061224489795918366%
Jerome Robinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 9 9/9 1.0%
Jimmy Wu 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 4/4 1.0%
Jon Ellman 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 32 31/32 0.96875%
Jonathan S. Owen 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 12 1/12 0.08333333333333333%
Joseph Subotnik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 87 76/87 0.8735632183908046%
Kang-Kuen Ni 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 38 20/38 0.5263157894736842%
Kyle M. Lancaster 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 24 24/24 1.0%
Lai-Sheng Wang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 15 2/15 0.13333333333333333%
Lilia Xie 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 8/8 1.0%
Makeda Tekle-Smith 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 4/4 1.0%
Marissa Weichman 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 14/14 1.0%
Matthew Zimmt 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
Megan Kizer 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Megan L. Matthews 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 19 16/19 0.8421052631578947%
Michael Hecht 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 6 6/6 1.0%
Monica E. McCallum 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 4 3/4 0.75%
Ou Chen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 44 38/44 0.8636363636363636%
Patrick Holland 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 39 36/39 0.9230769230769231%
Patrick J. Walsh 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 26 26/26 1.0%
Paul Chirik 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 22 22/22 1.0%
Paul Robustelli 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 13 13/13 1.0%
Paul Williard 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 3 3/3 1.0%
Peter Weber 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 5 4/5 0.8%
Phillip Milner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 66 59/66 0.8939393939393939%
Ralph Kleiner 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 16 16/16 1.0%
Robert A. DiStasio Jr. 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 24 12/24 0.5%
Robert Knowles 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 36 32/36 0.8888888888888888%
Salvatore Torquato 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 48 44/48 0.9166666666666666%
Sarah Delaney 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% 111 28/111 0.25225225225225223%
Shouheng Sun 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 6/8 0.75%
Stacy Malaker 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 39 36/39 0.9230769230769231%
Theodore Betley 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 2/17 0.11764705882352941%
Tianquan “Tim” Lian 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 50 49/50 0.98%
Timothy Newhouse 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 24 21/24 0.875%
Tom Muir 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 7/9 0.7777777777777778%
Tristan Lambert 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 37 25/37 0.6756756756756757%
Wenlin Zhang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 27 15/27 0.5555555555555556%
William Jorgensen 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 2 2/2 1.0%
William M. Jacobs 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 21 21/21 1.0%
Xiaowei Zhuang 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 17/18 0.9444444444444444%
Xiaoyang Zhu 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 44 44/44 1.0%
Yusong Bai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 10/14 0.7142857142857143%
Zahra Fakhraai 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 46 27/46 0.5869565217391305%
  • 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, Cornell Chemistry, Harvard Chemistry, Princeton Chemistry, Yale Chemistry.0.05.010.015.020.0Associate Brown Chemistry median of 2 academics 10.510.5Associate Cornell Chemistry median of 1 academics 9.09.0Associate Harvard Chemistry median of 1 academics 9.09.0Associate Princeton Chemistry median of 1 academics 13.013.0Associate Yale Chemistry median of 1 academics 12.012.0Full or distinguished Brown Chemistry median of 3 academics 18.018.0Full or distinguished Cornell Chemistry median of 1 academics 12.012.0Full or distinguished Harvard Chemistry median of 1 academics 11.011.0Full or distinguished Princeton Chemistry median of 1 academics 10.010.0AssociateFull or distinguishedYears since the PhDRank reached

Brown ChemistryCornell ChemistryHarvard 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% 373 270/373 0.7238605898123325%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 210 151/210 0.719047619047619%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 352 175/352 0.4971590909090909%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 147 135/147 0.9183673469387755%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 261 228/261 0.8735632183908046%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 78 66/78 0.8461538461538461%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 156 125/156 0.8012820512820513%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 73 59/73 0.8082191780821918%
  • 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 215215The Journal of Chemical PhysicsThe Journal of Chemical Physics 9393Nature CommunicationsNature Communications 5353Chemical ScienceChemical Science 4646Journal of Chemical Theory and ComputationJournal of Chemical Theory and Computation 4242The Journal of Physical Chemistry LettersThe Journal of Physical Chemistry Letters 4141APS March Meeting AbstractsAPS March Meeting Abstracts 3939Angewandte Chemie International EditionAngewandte Chemie International Edition 3737Proceedings of the National Academy of SciencesProceedings of the National Academy of Sciences 3333NatureNature 3232ScienceScience 2323Organic LettersOrganic Letters 2222The Journal of Physical Chemistry CThe Journal of Physical Chemistry C 2222Nature BiotechnologyNature Biotechnology 2020ACS Chemical BiologyACS Chemical Biology 1919050100150200JournalWorks

The twelve venues highest on this reading, of 285.

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% 373 270/373 0.7238605898123325%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 210 151/210 0.719047619047619%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 352 175/352 0.4971590909090909%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 147 135/147 0.9183673469387755%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 261 228/261 0.8735632183908046%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 78 66/78 0.8461538461538461%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 156 125/156 0.8012820512820513%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 73 59/73 0.8082191780821918%
  • 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.