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 Columbia English 328
2 Harvard Government 271
3 Columbia Political Science 222
4 Yale Chemistry 201
5 Harvard Chemistry 194
6 Penn Political Science 123
7 Princeton English 118
8 Dartmouth English 111
9 Penn Chemistry 110
10 Penn English 106
11 Columbia Chemistry 102
12 Dartmouth Government 102
13 Princeton Politics 98
14 Cornell Chemistry 98
15 Cornell English 94
16 Yale Political Science 93
17 Brown Chemistry 89
18 Princeton Chemistry 86
19 Yale English 75
20 Harvard English 69
21 Cornell Government 49
22 Brown Political Science 46
23 Brown English 45
24 Dartmouth Chemistry 32

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.

2,540,827 citations over 18,370 of 25,253 works (73% carry a count). 439 of 464 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 Brown Political Science 1,9141,914Political Science Median department 8 measured 4,1474,147Political Science Highest department Harvard Government 11,22611,226Chemistry Lowest department Dartmouth Chemistry 4,0574,057Chemistry Median department 8 measured 12,78912,789Chemistry Highest department Yale Chemistry 25,65225,652English Lowest department Brown English 110110English Median department 8 measured 246246English Highest department Columbia English 806806Political 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 47 47/47 1.0% 38/47 0.8085106382978723% 45/47 0.9574468085106383% 1629 1266/1629 0.7771639042357275%
Columbia Political Science 35 35/35 1.0% 24/35 0.6857142857142857% 35/35 1.0% 2756 1665/2756 0.6041364296081277%
Harvard Government 34 34/34 1.0% 26/34 0.7647058823529411% 33/34 0.9705882352941176% 2415 1800/2415 0.7453416149068323%
Yale Political Science 34 34/34 1.0% 32/34 0.9411764705882353% 33/34 0.9705882352941176% 1130 885/1130 0.7831858407079646%
Penn Political Science 33 33/33 1.0% 28/33 0.8484848484848485% 33/33 1.0% 1468 1033/1468 0.7036784741144414%
Cornell Government 31 31/31 1.0% 26/31 0.8387096774193549% 30/31 0.967741935483871% 1296 873/1296 0.6736111111111112%
Dartmouth Government 28 28/28 1.0% 24/28 0.8571428571428571% 26/28 0.9285714285714286% 895 695/895 0.776536312849162%
Brown Political Science 27 27/27 1.0% 21/27 0.7777777777777778% 27/27 1.0% 1014 702/1014 0.6923076923076923%
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 544 327/544 0.6011029411764706%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 336 248/336 0.7380952380952381%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 407 113/407 0.27764127764127766%
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 1958 1665/1958 0.8503575076608785%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 2038 1481/2038 0.7266928361138371%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 382 242/382 0.6335078534031413%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 1734 827/1734 0.47693194925028837%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 1662 1576/1662 0.9482551143200962%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 1982 1755/1982 0.8854692230070635%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 188 121/188 0.6436170212765957%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 657 582/657 0.8858447488584474%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 121 59/121 0.48760330578512395%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 699 583/699 0.8340486409155937%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 272 247/272 0.9080882352941176%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 142 82/142 0.5774647887323944%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 83 65/83 0.7831325301204819%
  • 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 217217 · 3 departmentsHarvardHarvard 178178 · 3 departmentsYaleYale 123123 · 3 departmentsPennPenn 113113 · 3 departmentsPrincetonPrinceton 101101 · 3 departmentsDartmouthDartmouth 8282 · 3 departmentsCornellCornell 8080 · 3 departmentsBrownBrown 6060 · 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 71 71/71 1.0% 46/71 0.647887323943662% 68/71 0.9577464788732394% 3670 2996/3670 0.8163487738419618%
Yale 71 71/71 1.0% 41/71 0.5774647887323944% 67/71 0.9436619718309859% 3336 2788/3336 0.8357314148681055%
Brown 68 68/68 1.0% 35/68 0.5147058823529411% 68/68 1.0% 3388 2431/3388 0.7175324675324676%
Cornell 57 57/57 1.0% 34/57 0.5964912280701754% 53/57 0.9298245614035088% 2402 1569/2402 0.6532056619483764%
Columbia 54 54/54 1.0% 34/54 0.6296296296296297% 53/54 0.9814814814814815% 3795 2489/3795 0.655862977602108%
Penn 53 53/53 1.0% 40/53 0.7547169811320755% 52/53 0.9811320754716981% 3638 2909/3638 0.7996151731720725%
Harvard 52 52/52 1.0% 32/52 0.6153846153846154% 51/52 0.9807692307692307% 4270 2686/4270 0.62903981264637%
Dartmouth 38 38/38 1.0% 28/38 0.7368421052631579% 35/38 0.9210526315789473% 1309 1024/1309 0.7822765469824293%
  • 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 7979% · 8,569 of 10,853 worksPolitical SciencePolitical Science 7070% · 8,544 of 12,197 worksEnglishEnglish 5757% · 1,257 of 2,203 works0204060FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 79%, Political Science 70%, 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 269 269/269 1.0% 219/269 0.8141263940520446% 262/269 0.9739776951672863% 12197 8544/12197 0.7005001229810609%
English 108 108/108 1.0% 25/108 0.23148148148148148% 98/108 0.9074074074074074% 2203 1257/2203 0.5705855651384476%
Chemistry 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 10853 8569/10853 0.7895512761448448%
  • 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.