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 Cornell English 267
2 Harvard Government 252
3 Columbia Political Science 232
4 Princeton English 217
5 Harvard Chemistry 196
6 Princeton Chemistry 171
7 Yale Chemistry 164
8 Penn Political Science 135
9 Columbia English 127
10 Brown Chemistry 110
11 Brown English 105
12 Dartmouth Government 102
13 Princeton Politics 98
14 Yale English 95
15 Yale Political Science 91
16 Penn Chemistry 90
17 Columbia Chemistry 85
18 Penn English 63
19 Harvard English 61
20 Brown Political Science 57
21 Cornell Chemistry 51
22 Cornell Government 50
23 Dartmouth English 42
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.

4,090,694 citations over 24,924 of 32,859 works (76% carry a count). 542 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 Cornell Government 2,4442,444Political Science Median department 8 measured 4,9014,901Political Science Highest department Harvard Government 12,34512,345Chemistry Lowest department Dartmouth Chemistry 4,1614,161Chemistry Median department 8 measured 10,02310,023Chemistry Highest department Harvard Chemistry 19,67019,670English Lowest department Dartmouth English 142142English Median department 8 measured 337337English Highest department Cornell English 900900Political 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% 1987 1553/1987 0.7815802717664821%
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 496 312/496 0.6290322580645161%
Yale Political Science 42 36/42 0.8571428571428571% 36/42 0.8571428571428571% 35/42 0.8333333333333334% 1357 1082/1357 0.7973470891672808%
Harvard Government 41 35/41 0.8536585365853658% 28/41 0.6829268292682927% 34/41 0.8292682926829268% 2826 2130/2826 0.7537154989384289%
Columbia Political Science 40 35/40 0.875% 25/40 0.625% 35/40 0.875% 3042 1883/3042 0.6190006574621959%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 679 394/679 0.5802650957290133%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 599 206/599 0.34390651085141904%
Penn Political Science 37 34/37 0.918918918918919% 28/37 0.7567567567567568% 34/37 0.918918918918919% 1720 1227/1720 0.7133720930232558%
Cornell Government 35 31/35 0.8857142857142857% 28/35 0.8% 30/35 0.8571428571428571% 1472 1008/1472 0.6847826086956522%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 299 185/299 0.6187290969899666%
Princeton Chemistry 32 20/32 0.625% 14/32 0.4375% 20/32 0.625% 2448 2148/2448 0.8774509803921569%
Cornell Chemistry 31 6/31 0.1935483870967742% 17/31 0.5483870967741935% 6/31 0.1935483870967742% 1432 1287/1432 0.8987430167597765%
Brown Political Science 30 27/30 0.9% 22/30 0.7333333333333333% 27/30 0.9% 1218 857/1218 0.7036124794745484%
Penn Chemistry 30 10/30 0.3333333333333333% 21/30 0.7% 10/30 0.3333333333333333% 2976 2712/2976 0.9112903225806451%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 222 181/222 0.8153153153153153%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 444 315/444 0.7094594594594594%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 238 116/238 0.48739495798319327%
Dartmouth Government 28 28/28 1.0% 24/28 0.8571428571428571% 26/28 0.9285714285714286% 983 766/983 0.7792472024415056%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 227 117/227 0.5154185022026432%
Yale Chemistry 25 12/25 0.48% 14/25 0.56% 12/25 0.48% 2211 2088/2211 0.9443690637720489%
Columbia Chemistry 24 7/24 0.2916666666666667% 11/24 0.4583333333333333% 7/24 0.2916666666666667% 1369 1257/1369 0.9181884587289992%
Harvard Chemistry 22 11/22 0.5% 12/22 0.5454545454545454% 11/22 0.5% 2288 1368/2288 0.5979020979020979%
Brown Chemistry 19 17/19 0.8947368421052632% 13/19 0.6842105263157895% 17/19 0.8947368421052632% 2151 1593/2151 0.7405857740585774%
Dartmouth Chemistry 15 6/15 0.4% 10/15 0.6666666666666666% 6/15 0.4% 887 815/887 0.9188275084554679%
  • 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.HarvardHarvard 170170 · 3 departmentsPrincetonPrinceton 162162 · 3 departmentsColumbiaColumbia 148148 · 3 departmentsCornellCornell 123123 · 3 departmentsYaleYale 116116 · 3 departmentsPennPenn 9696 · 3 departmentsBrownBrown 9191 · 3 departmentsDartmouthDartmouth 6262 · 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% 4657 3882/4657 0.8335838522654069%
Columbia 110 54/110 0.4909090909090909% 46/110 0.41818181818181815% 53/110 0.4818181818181818% 4907 3452/4907 0.7034848176074995%
Yale 106 76/106 0.7169811320754716% 54/106 0.5094339622641509% 71/106 0.6698113207547169% 4247 3564/4247 0.8391805980692253%
Cornell 104 62/104 0.5961538461538461% 52/104 0.5% 54/104 0.5192307692307693% 3503 2501/3503 0.7139594633171568%
Penn 99 54/99 0.5454545454545454% 57/99 0.5757575757575758% 53/99 0.5353535353535354% 4995 4124/4995 0.8256256256256256%
Harvard 88 53/88 0.6022727272727273% 43/88 0.48863636363636365% 52/88 0.5909090909090909% 5341 3615/5341 0.6768395431567122%
Brown 77 68/77 0.8831168831168831% 39/77 0.5064935064935064% 68/77 0.8831168831168831% 3813 2765/3813 0.7251507998950957%
Dartmouth 71 39/71 0.5492957746478874% 38/71 0.5352112676056338% 36/71 0.5070422535211268% 2108 1697/2108 0.8050284629981025%
  • 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% · 13,007 of 15,497 worksPolitical SciencePolitical Science 7171% · 10,091 of 14,158 worksEnglishEnglish 5757% · 1,826 of 3,204 works020406080FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 84%, Political Science 71%, English 57% 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% 14158 10091/14158 0.7127419126995338%
English 265 115/265 0.4339622641509434% 43/265 0.16226415094339622% 100/265 0.37735849056603776% 3204 1826/3204 0.5699126092384519%
Chemistry 198 89/198 0.4494949494949495% 112/198 0.5656565656565656% 89/198 0.4494949494949495% 15497 13007/15497 0.8393237400787249%
  • 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.