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 Dartmouth English 500
2 Princeton English 371
3 Harvard Chemistry 316
4 Columbia English 185
5 Princeton Chemistry 174
6 Dartmouth Government 149
7 Brown Political Science 147
8 Columbia Chemistry 129
9 Yale English 124
10 Harvard Government 114
11 Princeton Politics 107
12 Yale Chemistry 101
13 Cornell Chemistry 99
14 Cornell Government 93
15 Penn Chemistry 92
16 Columbia Political Science 91
17 Penn Political Science 85
18 Yale Political Science 83
19 Harvard English 76
20 Penn English 66
21 Dartmouth Chemistry 63
22 Brown Chemistry 59
23 Brown English 38
24 Cornell English 18

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.

148,725 citations over 3,838 of 5,299 works (72% carry a count). 444 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.02004006008001,0001,200Political Science Lowest department Yale Political Science 181181Political Science Median department 8 measured 219219Political Science Highest department Dartmouth Government 327327Chemistry Lowest department Brown Chemistry 208208Chemistry Median department 8 measured 355355Chemistry Highest department Harvard Chemistry 1,1221,122English Lowest department Cornell English 11English Median department 8 measured 55English Highest department Dartmouth English 2525Political 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% 344 284/344 0.8255813953488372%
Columbia English 46 12/46 0.2608695652173913% 10/46 0.21739130434782608% 11/46 0.2391304347826087% 81 30/81 0.37037037037037035%
Yale Political Science 42 36/42 0.8571428571428571% 36/42 0.8571428571428571% 35/42 0.8333333333333334% 285 238/285 0.8350877192982457%
Harvard Government 41 35/41 0.8536585365853658% 28/41 0.6829268292682927% 34/41 0.8292682926829268% 376 288/376 0.7659574468085106%
Columbia Political Science 40 35/40 0.875% 25/40 0.625% 35/40 0.875% 420 247/420 0.5880952380952381%
Yale English 39 28/39 0.717948717948718% 4/39 0.10256410256410256% 24/39 0.6153846153846154% 127 65/127 0.5118110236220472%
Cornell English 38 25/38 0.6578947368421053% 7/38 0.18421052631578946% 18/38 0.47368421052631576% 35 3/35 0.08571428571428572%
Penn Political Science 37 34/37 0.918918918918919% 28/37 0.7567567567567568% 34/37 0.918918918918919% 314 208/314 0.6624203821656051%
Cornell Government 35 31/35 0.8857142857142857% 28/35 0.8% 30/35 0.8571428571428571% 376 271/376 0.7207446808510638%
Penn English 32 10/32 0.3125% 8/32 0.25% 9/32 0.28125% 57 29/57 0.5087719298245614%
Princeton Chemistry 32 20/32 0.625% 14/32 0.4375% 20/32 0.625% 418 311/418 0.7440191387559809%
Cornell Chemistry 31 6/31 0.1935483870967742% 17/31 0.5483870967741935% 6/31 0.1935483870967742% 309 267/309 0.8640776699029126%
Brown Political Science 30 27/30 0.9% 22/30 0.7333333333333333% 27/30 0.9% 226 159/226 0.7035398230088495%
Penn Chemistry 30 10/30 0.3333333333333333% 21/30 0.7% 10/30 0.3333333333333333% 371 332/371 0.894878706199461%
Princeton English 29 4/29 0.13793103448275862% 3/29 0.10344827586206896% 3/29 0.10344827586206896% 11 9/11 0.8181818181818182%
Brown English 28 24/28 0.8571428571428571% 4/28 0.14285714285714285% 24/28 0.8571428571428571% 39 29/39 0.7435897435897436%
Dartmouth English 28 5/28 0.17857142857142858% 4/28 0.14285714285714285% 4/28 0.14285714285714285% 64 15/64 0.234375%
Dartmouth Government 28 28/28 1.0% 24/28 0.8571428571428571% 26/28 0.9285714285714286% 210 164/210 0.780952380952381%
Harvard English 25 7/25 0.28% 3/25 0.12% 7/25 0.28% 20 7/20 0.35%
Yale Chemistry 25 12/25 0.48% 14/25 0.56% 12/25 0.48% 281 237/281 0.8434163701067615%
Columbia Chemistry 24 7/24 0.2916666666666667% 11/24 0.4583333333333333% 7/24 0.2916666666666667% 211 182/211 0.8625592417061612%
Harvard Chemistry 22 11/22 0.5% 12/22 0.5454545454545454% 11/22 0.5% 479 291/479 0.6075156576200418%
Brown Chemistry 19 17/19 0.8947368421052632% 13/19 0.6842105263157895% 17/19 0.8947368421052632% 218 159/218 0.7293577981651376%
Dartmouth Chemistry 15 6/15 0.4% 10/15 0.6666666666666666% 6/15 0.4% 159 139/159 0.8742138364779874%
  • 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.DartmouthDartmouth 237237 · 3 departmentsPrincetonPrinceton 218218 · 3 departmentsHarvardHarvard 169169 · 3 departmentsColumbiaColumbia 135135 · 3 departmentsYaleYale 102102 · 3 departmentsPennPenn 8181 · 3 departmentsBrownBrown 8181 · 3 departmentsCornellCornell 7070 · 3 departments050100150200UniversityMean 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% 773 604/773 0.7813712807244502%
Columbia 110 54/110 0.4909090909090909% 46/110 0.41818181818181815% 53/110 0.4818181818181818% 712 459/712 0.6446629213483146%
Yale 106 76/106 0.7169811320754716% 54/106 0.5094339622641509% 71/106 0.6698113207547169% 693 540/693 0.7792207792207793%
Cornell 104 62/104 0.5961538461538461% 52/104 0.5% 54/104 0.5192307692307693% 720 541/720 0.7513888888888889%
Penn 99 54/99 0.5454545454545454% 57/99 0.5757575757575758% 53/99 0.5353535353535354% 742 569/742 0.7668463611859838%
Harvard 88 53/88 0.6022727272727273% 43/88 0.48863636363636365% 52/88 0.5909090909090909% 875 586/875 0.6697142857142857%
Brown 77 68/77 0.8831168831168831% 39/77 0.5064935064935064% 68/77 0.8831168831168831% 483 347/483 0.7184265010351967%
Dartmouth 71 39/71 0.5492957746478874% 38/71 0.5352112676056338% 36/71 0.5070422535211268% 433 318/433 0.7344110854503464%
  • 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 7878% · 1,873 of 2,399 worksPolitical SciencePolitical Science 7272% · 1,778 of 2,466 worksEnglishEnglish 4343% · 187 of 434 works0204060FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 78%, Political Science 72%, English 43% 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% 2466 1778/2466 0.7210056772100568%
English 265 115/265 0.4339622641509434% 43/265 0.16226415094339622% 100/265 0.37735849056603776% 434 187/434 0.4308755760368664%
Chemistry 198 89/198 0.4494949494949495% 112/198 0.5656565656565656% 89/198 0.4494949494949495% 2399 1873/2399 0.7807419758232597%
  • 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.