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 Harvard Government 247
2 Columbia English 224
3 Columbia Political Science 208
4 Harvard Chemistry 197
5 Princeton Chemistry 170
6 Yale Chemistry 164
7 Cornell English 131
8 Yale English 120
9 Penn Political Science 118
10 Brown Chemistry 110
11 Dartmouth Government 109
12 Princeton English 106
13 Brown English 94
14 Princeton Politics 91
15 Penn Chemistry 90
16 Columbia Chemistry 84
17 Penn English 84
18 Yale Political Science 82
19 Cornell Chemistry 51
20 Dartmouth English 51
21 Harvard English 50
22 Cornell Government 47
23 Brown Political Science 46
24 Dartmouth Chemistry 42

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.

3,494,384 citations over 23,252 of 30,481 works (76% carry a count). 540 of 772 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.05,00010,00015,00020,000Political Science Lowest department Brown Political Science 1,7781,778Political Science Median department 8 measured 3,8803,880Political Science Highest department Harvard Government 9,5779,577Chemistry Lowest department Dartmouth Chemistry 4,1504,150Chemistry Median department 8 measured 9,9799,979Chemistry Highest department Harvard Chemistry 19,65019,650English Lowest department Harvard English 5151English Median department 8 measured 103103English Highest department Columbia English 230230Political 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
Princeton Politics 56 48/56 0.8571428571428571% 41/56 0.7321428571428571% 45/56 0.8035714285714286% 1743 1365/1743 0.7831325301204819%
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 423 265/423 0.6264775413711584%
Yale Political Science 42 36/42 0.8571428571428571% 36/42 0.8571428571428571% 35/42 0.8333333333333334% 1192 937/1192 0.7860738255033557%
Harvard Government 41 35/41 0.8536585365853658% 28/41 0.6829268292682927% 34/41 0.8292682926829268% 2481 1850/2481 0.7456670697299476%
Columbia Political Science 40 35/40 0.875% 25/40 0.625% 35/40 0.875% 2779 1683/2779 0.6056135300467794%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 545 328/545 0.6018348623853211%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 477 148/477 0.31027253668763105%
Penn Political Science 37 34/37 0.918918918918919% 28/37 0.7567567567567568% 34/37 0.918918918918919% 1487 1050/1487 0.7061197041022192%
Cornell Government 35 31/35 0.8857142857142857% 28/35 0.8% 30/35 0.8571428571428571% 1323 895/1323 0.6764928193499622%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 234 151/234 0.6452991452991453%
Princeton Chemistry 32 20/32 0.625% 14/32 0.4375% 20/32 0.625% 2442 2145/2442 0.8783783783783784%
Cornell Chemistry 31 6/31 0.1935483870967742% 17/31 0.5483870967741935% 6/31 0.1935483870967742% 1429 1285/1429 0.8992302309307207%
Brown Political Science 30 27/30 0.9% 22/30 0.7333333333333333% 27/30 0.9% 1044 723/1044 0.6925287356321839%
Penn Chemistry 30 10/30 0.3333333333333333% 21/30 0.7% 10/30 0.3333333333333333% 2962 2703/2962 0.912559081701553%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 173 147/173 0.8497109826589595%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 343 253/343 0.7376093294460642%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 159 93/159 0.5849056603773585%
Dartmouth Government 28 28/28 1.0% 24/28 0.8571428571428571% 26/28 0.9285714285714286% 895 695/895 0.776536312849162%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 138 71/138 0.5144927536231884%
Yale Chemistry 25 12/25 0.48% 14/25 0.56% 12/25 0.48% 2209 2086/2209 0.9443186962426438%
Columbia Chemistry 24 7/24 0.2916666666666667% 11/24 0.4583333333333333% 7/24 0.2916666666666667% 1365 1254/1365 0.9186813186813186%
Harvard Chemistry 22 11/22 0.5% 12/22 0.5454545454545454% 11/22 0.5% 2283 1364/2283 0.5974594831362242%
Brown Chemistry 19 17/19 0.8947368421052632% 13/19 0.6842105263157895% 17/19 0.8947368421052632% 2149 1592/2149 0.7408096789204281%
Dartmouth Chemistry 15 6/15 0.4% 10/15 0.6666666666666666% 6/15 0.4% 886 814/886 0.9187358916478555%
  • 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.ColumbiaColumbia 172172 · 3 departmentsHarvardHarvard 165165 · 3 departmentsYaleYale 122122 · 3 departmentsPrincetonPrinceton 122122 · 3 departmentsPennPenn 9797 · 3 departmentsBrownBrown 8484 · 3 departmentsCornellCornell 7676 · 3 departmentsDartmouthDartmouth 6767 · 3 departments050100150UniversityMean 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
Princeton 117 72/117 0.6153846153846154% 58/117 0.49572649572649574% 68/117 0.5811965811965812% 4358 3657/4358 0.8391463974300137%
Columbia 110 54/110 0.4909090909090909% 46/110 0.41818181818181815% 53/110 0.4818181818181818% 4567 3202/4567 0.7011167068097219%
Yale 106 76/106 0.7169811320754716% 54/106 0.5094339622641509% 71/106 0.6698113207547169% 3946 3351/3946 0.8492143943233654%
Cornell 104 62/104 0.5961538461538461% 52/104 0.5% 54/104 0.5192307692307693% 3229 2328/3229 0.7209662434190152%
Penn 99 54/99 0.5454545454545454% 57/99 0.5757575757575758% 53/99 0.5353535353535354% 4683 3904/4683 0.8336536408285288%
Harvard 88 53/88 0.6022727272727273% 43/88 0.48863636363636365% 52/88 0.5909090909090909% 4902 3285/4902 0.6701346389228886%
Brown 77 68/77 0.8831168831168831% 39/77 0.5064935064935064% 68/77 0.8831168831168831% 3536 2568/3536 0.7262443438914027%
Dartmouth 71 39/71 0.5492957746478874% 38/71 0.5352112676056338% 36/71 0.5070422535211268% 1940 1602/1940 0.8257731958762886%
  • 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 8484% · 12,982 of 15,460 worksPolitical SciencePolitical Science 7070% · 8,814 of 12,529 worksEnglishEnglish 5858% · 1,456 of 2,492 works020406080FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 84%, Political Science 70%, English 58% 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
Political Science 309 274/309 0.8867313915857605% 232/309 0.7508090614886731% 266/309 0.86084142394822% 12529 8814/12529 0.7034879080533163%
English 265 115/265 0.4339622641509434% 43/265 0.16226415094339622% 100/265 0.37735849056603776% 2492 1456/2492 0.5842696629213483%
Chemistry 198 89/198 0.4494949494949495% 112/198 0.5656565656565656% 89/198 0.4494949494949495% 15460 12982/15460 0.8397153945666236%
  • 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.