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

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

Fieldshere

  • 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, across fields

Field index · the median department of each field is 100
1 Princeton English 1,595
2 Princeton Chemistry 357
3 Princeton Politics 262
4 Harvard Chemistry 193
5 Brown Political Science 183
6 Columbia English 154
7 Cornell English 153
8 Brown English 137
9 Yale Political Science 132
10 Yale Chemistry 122
11 Brown Chemistry 111
12 Cornell Government 100
13 Penn Political Science 96
14 Columbia Chemistry 89
15 Penn Chemistry 85
16 Dartmouth English 63
17 Dartmouth Chemistry 56
18 Penn English 46
19 Cornell Chemistry 44
20 Harvard English 32
21 Harvard Government 31
22 Columbia Political Science 23
23 Yale English 3
24 Dartmouth Government —

A department’s index is its citations per academic divided by the median citations per academic of the departments of its own field, times 100. The median is over the departments these filters keep, so narrowing to three departments of a field moves that field’s own middle. Raw citations only (docs/ui-redesign.md section 5): neither the citation weighting nor a publication count moves this tab.

1,020,266 citations over 5,155 of 5,510 works (94% carry a count). 100 of 306 academics have at least one counted work. A work with no citation count is unknown here, never a zero.

Mean citations per academic by field

Where each field’s departments sit on mean citations per academic
Measure
Series: Lowest department, Median department, Highest department.05,00010,00015,00020,00025,00030,000Political Science Lowest department Columbia Political Science 106106Political Science Median department 7 measured 451451Political Science Highest department Princeton Politics 1,1831,183Chemistry Lowest department Cornell Chemistry 3,3103,310Chemistry Median department 8 measured 7,5127,512Chemistry Highest department Princeton Chemistry 26,83526,835English Lowest department Yale English 22English Median department 8 measured 4747English Highest department Princeton English 747747Political ScienceChemistryEnglishMean citations per academicField

Lowest departmentMedian departmentHighest department

The spread of the departments inside each field, on one axis: the middle bar is the median that anchors that field’s index, and the distance between the outer two is what an index of 120 is measured against.

What these filters select, per department not what the graph divided by
Department Academics CVScholarOpenAlex Works With a count
Dartmouth Government 0 — — — 0 —
Columbia English 34 0/34 0.0% 2/34 0.058823529411764705% 0/34 0.0% 50 30/50 0.6%
Cornell Chemistry 25 0/25 0.0% 12/25 0.48% 0/25 0.0% 735 707/735 0.9619047619047619%
Princeton English 25 0/25 0.0% 3/25 0.12% 0/25 0.0% 109 101/109 0.926605504587156%
Dartmouth English 23 0/23 0.0% 2/23 0.08695652173913043% 0/23 0.0% 22 16/22 0.7272727272727273%
Penn English 22 0/22 0.0% 4/22 0.18181818181818182% 0/22 0.0% 55 36/55 0.6545454545454545%
Penn Chemistry 20 0/20 0.0% 13/20 0.65% 0/20 0.0% 1010 978/1010 0.9683168316831683%
Harvard English 18 0/18 0.0% 2/18 0.1111111111111111% 0/18 0.0% 19 14/19 0.7368421052631579%
Columbia Chemistry 17 0/17 0.0% 9/17 0.5294117647058824% 0/17 0.0% 760 723/760 0.9513157894736842%
Cornell English 17 4/17 0.23529411764705882% 4/17 0.23529411764705882% 1/17 0.058823529411764705% 91 52/91 0.5714285714285714%
Yale Chemistry 14 1/14 0.07142857142857142% 9/14 0.6428571428571429% 1/14 0.07142857142857142% 556 519/556 0.9334532374100719%
Yale English 13 2/13 0.15384615384615385% 0/13 0.0% 1/13 0.07692307692307693% 1 1/1 1.0%
Princeton Chemistry 12 0/12 0.0% 6/12 0.5% 0/12 0.0% 489 485/489 0.9918200408997955%
Harvard Chemistry 11 0/11 0.0% 7/11 0.6363636363636364% 0/11 0.0% 556 544/556 0.9784172661870504%
Dartmouth Chemistry 10 1/10 0.1% 8/10 0.8% 1/10 0.1% 619 572/619 0.9240710823909531%
Princeton Politics 9 1/9 0.1111111111111111% 3/9 0.3333333333333333% 0/9 0.0% 130 114/130 0.8769230769230769%
Yale Political Science 8 2/8 0.25% 4/8 0.5% 2/8 0.25% 71 59/71 0.8309859154929577%
Harvard Government 6 0/6 0.0% 1/6 0.16666666666666666% 0/6 0.0% 22 13/22 0.5909090909090909%
Columbia Political Science 5 0/5 0.0% 1/5 0.2% 0/5 0.0% 27 22/27 0.8148148148148148%
Brown English 4 0/4 0.0% 1/4 0.25% 0/4 0.0% 8 6/8 0.75%
Cornell Government 4 0/4 0.0% 2/4 0.5% 0/4 0.0% 28 23/28 0.8214285714285714%
Penn Political Science 4 1/4 0.25% 0/4 0.0% 1/4 0.25% 23 21/23 0.9130434782608695%
Brown Political Science 3 0/3 0.0% 1/3 0.3333333333333333% 0/3 0.0% 34 24/34 0.7058823529411765%
Brown Chemistry 2 0/2 0.0% 2/2 1.0% 0/2 0.0% 111 111/111 1.0%
  • 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.

University rollup

The mean index of a university’s departments
Series: value.PrincetonPrinceton 738738 · 3 departmentsBrownBrown 144144 · 3 departmentsCornellCornell 9999 · 3 departmentsColumbiaColumbia 8989 · 3 departmentsYaleYale 8686 · 3 departmentsHarvardHarvard 8585 · 3 departmentsPennPenn 7575 · 3 departmentsDartmouthDartmouth 6060 · 2 of 3 departments0250500UniversityMean field index

Each university’s departments averaged on the index, which is the only figure of theirs that crosses fields. A department with no index is out of the mean and the end of the bar says how many were in it.

What these filters select, per university not what the graph divided by
University Academics CVScholarOpenAlex Works With a count
Columbia 56 0/56 0.0% 12/56 0.21428571428571427% 0/56 0.0% 837 775/837 0.9259259259259259%
Cornell 46 4/46 0.08695652173913043% 18/46 0.391304347826087% 1/46 0.021739130434782608% 854 782/854 0.9156908665105387%
Penn 46 1/46 0.021739130434782608% 17/46 0.3695652173913043% 1/46 0.021739130434782608% 1088 1035/1088 0.9512867647058824%
Princeton 46 1/46 0.021739130434782608% 12/46 0.2608695652173913% 0/46 0.0% 728 700/728 0.9615384615384616%
Harvard 35 0/35 0.0% 10/35 0.2857142857142857% 0/35 0.0% 597 571/597 0.9564489112227805%
Yale 35 5/35 0.14285714285714285% 13/35 0.37142857142857144% 4/35 0.11428571428571428% 628 579/628 0.9219745222929936%
Dartmouth 33 1/33 0.030303030303030304% 10/33 0.30303030303030304% 1/33 0.030303030303030304% 641 588/641 0.9173166926677067%
Brown 9 0/9 0.0% 4/9 0.4444444444444444% 0/9 0.0% 153 141/153 0.9215686274509803%
  • 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.

Coverage by field

Works carrying a citation count
Series: value.ChemistryChemistry 9696% · 4,623 of 4,820 worksPolitical SciencePolitical Science 8282% · 276 of 335 worksEnglishEnglish 7272% · 256 of 355 works020406080FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 96%, Political Science 82%, English 72% of the selected works carry a citation count - so the index compares standing within a field and never absolute impact across fields.

What these filters select, per field not what the graph divided by
Field Academics CVScholarOpenAlex Works With a count
English 156 6/156 0.038461538461538464% 18/156 0.11538461538461539% 2/156 0.01282051282051282% 355 256/355 0.7211267605633803%
Chemistry 111 2/111 0.018018018018018018% 66/111 0.5945945945945946% 2/111 0.018018018018018018% 4820 4623/4820 0.9591286307053942%
Political Science 39 4/39 0.10256410256410256% 12/39 0.3076923076923077% 3/39 0.07692307692307693% 335 276/335 0.8238805970149253%
  • 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.
Notes

A work takes its verified Scholar profile’s count, else OpenAlex’s; a work with neither is unknown and is never filled in with a zero (docs/definitions.md section 6). Books and chapters are covered worst, which is why the fields that write them sit lowest here.