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.

Value Measure

Departments

Mean citations per academic
1 Dartmouth English 2 academics 214
2 Columbia English 4 academics 192
3 Harvard English 3 academics 114
4 Penn English 6 academics 89
5 Brown English 9 academics 61
6 Yale English 7 academics 61
7 Cornell English 3 academics 23
8 Princeton English 2 academics 14

3,146 citations over 172 of 375 works (46% carry a count). 29 of 36 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 EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

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
Brown English 9 9/9 1.0% 2/9 0.2222222222222222% 9/9 1.0% 53 41/53 0.7735849056603774%
Yale English 7 7/7 1.0% 1/7 0.14285714285714285% 6/7 0.8571428571428571% 86 40/86 0.46511627906976744%
Penn English 6 6/6 1.0% 3/6 0.5% 5/6 0.8333333333333334% 64 34/64 0.53125%
Columbia English 4 4/4 1.0% 2/4 0.5% 4/4 1.0% 65 31/65 0.47692307692307695%
Cornell English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 14 6/14 0.42857142857142855%
Harvard English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 36 10/36 0.2777777777777778%
Dartmouth English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 49 4/49 0.08163265306122448%
Princeton English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 8 6/8 0.75%
  • 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 EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

Citations received in each year by the works these filters select.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Brown English 9 9/9 1.0% 2/9 0.2222222222222222% 9/9 1.0% 53 41/53 0.7735849056603774%
Yale English 7 7/7 1.0% 1/7 0.14285714285714285% 6/7 0.8571428571428571% 86 40/86 0.46511627906976744%
Penn English 6 6/6 1.0% 3/6 0.5% 5/6 0.8333333333333334% 64 34/64 0.53125%
Columbia English 4 4/4 1.0% 2/4 0.5% 4/4 1.0% 65 31/65 0.47692307692307695%
Cornell English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 14 6/14 0.42857142857142855%
Harvard English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 36 10/36 0.2777777777777778%
Dartmouth English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 49 4/49 0.08163265306122448%
Princeton English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 8 6/8 0.75%
  • 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.0246810Brown Tenure track 99Columbia Tenure track 44Cornell Tenure track 33Dartmouth Tenure track 22Harvard Tenure track 33Penn Tenure track 66Princeton Tenure track 22Yale Tenure track 77BrownColumbiaCornellDartmouthHarvardPennPrincetonYaleAcademicsDepartment

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
Brown English 9 9/9 1.0% 2/9 0.2222222222222222% 9/9 1.0% 53 41/53 0.7735849056603774%
Yale English 7 7/7 1.0% 1/7 0.14285714285714285% 6/7 0.8571428571428571% 86 40/86 0.46511627906976744%
Penn English 6 6/6 1.0% 3/6 0.5% 5/6 0.8333333333333334% 64 34/64 0.53125%
Columbia English 4 4/4 1.0% 2/4 0.5% 4/4 1.0% 65 31/65 0.47692307692307695%
Cornell English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 14 6/14 0.42857142857142855%
Harvard English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 36 10/36 0.2777777777777778%
Dartmouth English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 49 4/49 0.08163265306122448%
Princeton English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 8 6/8 0.75%
  • 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 English, Columbia English, Cornell English, Dartmouth English, Harvard English, Penn English, Princeton English, Yale English.0.050.0100.0150.0200.0250.0Distinguished Brown English over 9 academics 10.010.0Distinguished Columbia English over 4 academics 158.5158.5Distinguished Cornell English over 3 academics 0.00.0Distinguished Dartmouth English over 2 academics 214.0214.0Distinguished Harvard English over 3 academics 20.020.0Distinguished Penn English over 6 academics 68.068.0Distinguished Princeton English over 2 academics 13.513.5Distinguished Yale English over 7 academics 30.030.0DistinguishedMedian citations per academicRank

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

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
Brown English 9 9/9 1.0% 2/9 0.2222222222222222% 9/9 1.0% 53 41/53 0.7735849056603774%
Yale English 7 7/7 1.0% 1/7 0.14285714285714285% 6/7 0.8571428571428571% 86 40/86 0.46511627906976744%
Penn English 6 6/6 1.0% 3/6 0.5% 5/6 0.8333333333333334% 64 34/64 0.53125%
Columbia English 4 4/4 1.0% 2/4 0.5% 4/4 1.0% 65 31/65 0.47692307692307695%
Cornell English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 14 6/14 0.42857142857142855%
Harvard English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 36 10/36 0.2777777777777778%
Dartmouth English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 49 4/49 0.08163265306122448%
Princeton English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 8 6/8 0.75%
  • 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 English, Columbia English, Cornell English, Dartmouth English, Harvard English, Penn English, Princeton English, Yale English.01002003004005001 Brown English Amanda Anderson 3143141 Columbia English Bruce Robbins 4494491 Cornell English Cathy Caruth 70701 Dartmouth English Donald E. Pease 4274271 Harvard English Martin Puchner 3233231 Penn English Paul Saint-Amour 3083081 Princeton English Simon Gikandi 27271 Yale English Jonathan Kramnick 2112112 Brown English Timothy Bewes 1241242 Columbia English Sharon Marcus 2652652 Cornell English George Hutchinson 002 Dartmouth English Andrew L. McCann 112 Harvard English Daniel Donoghue 20202 Penn English Melissa E. Sanchez 87872 Princeton English Nigel Smith 002 Yale English John Durham Peters 1231233 Brown English Kevin E. Quashie 72723 Columbia English Julie Stone Peters 52523 Cornell English Laura Brown 003 Harvard English Elaine Scarry 003 Penn English Zachary Lesser 78783 Yale English Ruth Yeazell 33334 Brown English Philip Gould 14144 Columbia English Nicholas Dames 004 Penn English James English 58584 Yale English David Bromwich 30305 Brown English Leela Gandhi 10105 Penn English Bakirathi Mani 115 Yale English Stephanie Newell 303012345CitationsRank

Brown EnglishColumbia EnglishCornell EnglishDartmouth EnglishHarvard EnglishPenn EnglishPrinceton EnglishYale English

Rank 5 of 9 at the deepest; 3 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
George Hutchinson 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Katie Trumpener 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Nicholas Dames 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Nigel Smith 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 0
Al Filreis 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 13 0/13 0.0%
Elaine Scarry 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 0/6 0.0%
Marc Robinson 1 1/1 1.0% 0/1 0.0% 0/1 0.0% 5 0/5 0.0%
Amanda Anderson 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 10/11 0.9090909090909091%
Andrew L. McCann 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
Bakirathi Mani 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 2/6 0.3333333333333333%
Bruce Robbins 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 50 19/50 0.38%
Cathy Caruth 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 4/11 0.36363636363636365%
Daniel Donoghue 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 14 1/14 0.07142857142857142%
David Bromwich 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 17 2/17 0.11764705882352941%
Donald E. Pease 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 45 1/45 0.022222222222222223%
Ellen Rooney 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 1 1/1 1.0%
James English 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 9 6/9 0.6666666666666666%
John Durham Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 24 18/24 0.75%
Jonathan Kramnick 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 15 10/15 0.6666666666666666%
Julie Stone Peters 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
Kevin E. Quashie 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 6/8 0.75%
Kevin McLaughlin 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 6 5/6 0.8333333333333334%
Laura Brown 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Leela Gandhi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 4 3/4 0.75%
Marc Redfield 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Martin Puchner 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 16 9/16 0.5625%
Melissa E. Sanchez 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 10 9/10 0.9%
Paul Saint-Amour 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 18 12/18 0.6666666666666666%
Philip Gould 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 3/3 1.0%
Richard Rambuss 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 3 2/3 0.6666666666666666%
Ruth Yeazell 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 3/14 0.21428571428571427%
Sharon Marcus 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 11 9/11 0.8181818181818182%
Simon Gikandi 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 8 6/8 0.75%
Stephanie Newell 1 1/1 1.0% 0/1 0.0% 1/1 1.0% 11 7/11 0.6363636363636364%
Timothy Bewes 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 14 9/14 0.6428571428571429%
Zachary Lesser 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 8 5/8 0.625%
  • 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: Penn English.0.05.010.015.020.0Full or distinguished Penn English median of 2 academics 17.517.5Full or distinguishedYears since the PhDRank reached

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
Brown English 9 9/9 1.0% 2/9 0.2222222222222222% 9/9 1.0% 53 41/53 0.7735849056603774%
Yale English 7 7/7 1.0% 1/7 0.14285714285714285% 6/7 0.8571428571428571% 86 40/86 0.46511627906976744%
Penn English 6 6/6 1.0% 3/6 0.5% 5/6 0.8333333333333334% 64 34/64 0.53125%
Columbia English 4 4/4 1.0% 2/4 0.5% 4/4 1.0% 65 31/65 0.47692307692307695%
Cornell English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 14 6/14 0.42857142857142855%
Harvard English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 36 10/36 0.2777777777777778%
Dartmouth English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 49 4/49 0.08163265306122448%
Princeton English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 8 6/8 0.75%
  • 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.NOVEL A Forum on FictionNOVEL A Forum on Fiction 1010boundary 2boundary 2 99The New York Review of BooksThe New York Review of Books 99Critical InquiryCritical Inquiry 77ELHELH 66PMLA/Publications of the Modern Lang...ciation of AmericaPMLA/Publications of the Modern Language Association of America 55RepresentationsRepresentations 44Modernism/Modernity Print PlusModernism/Modernity Print Plus 44Modern Language QuarterlyModern Language Quarterly 44Modernism/modernityModernism/modernity 33Princeton University Press eBooksPrinceton University Press eBooks 33Stanford University Press eBooksStanford University Press eBooks 33Research in African LiteraturesResearch in African Literatures 33Shakespeare QuarterlyShakespeare Quarterly 33English Literary RenaissanceEnglish Literary Renaissance 330246810JournalWorks

The twelve venues highest on this reading, of 113.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Brown English 9 9/9 1.0% 2/9 0.2222222222222222% 9/9 1.0% 53 41/53 0.7735849056603774%
Yale English 7 7/7 1.0% 1/7 0.14285714285714285% 6/7 0.8571428571428571% 86 40/86 0.46511627906976744%
Penn English 6 6/6 1.0% 3/6 0.5% 5/6 0.8333333333333334% 64 34/64 0.53125%
Columbia English 4 4/4 1.0% 2/4 0.5% 4/4 1.0% 65 31/65 0.47692307692307695%
Cornell English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 14 6/14 0.42857142857142855%
Harvard English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 36 10/36 0.2777777777777778%
Dartmouth English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 49 4/49 0.08163265306122448%
Princeton English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 8 6/8 0.75%
  • 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.