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 Chemistry 323
2 Penn English 235
3 Cornell Chemistry 212
4 Columbia English 205
5 Columbia Political Science 172
6 Dartmouth English 172
7 Columbia Chemistry 160
8 Dartmouth Government 156
9 Harvard Government 135
10 Yale English 117
11 Penn Chemistry 108
12 Penn Political Science 107
13 Cornell Government 93
14 Yale Chemistry 92
15 Princeton Chemistry 86
16 Princeton Politics 86
17 Princeton English 83
18 Yale Political Science 72
19 Brown Chemistry 60
20 Dartmouth Chemistry 52
21 Brown English 49
22 Brown Political Science 36
23 Cornell English 18
24 Harvard English 15

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.

544,264 citations over 6,692 of 9,297 works (72% carry a count). 400 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.02,0004,0006,0008,00010,000Political Science Lowest department Brown Political Science 395395Political Science Median department 8 measured 1,0921,092Political Science Highest department Columbia Political Science 1,8831,883Chemistry Lowest department Dartmouth Chemistry 1,3541,354Chemistry Median department 8 measured 2,6292,629Chemistry Highest department Harvard Chemistry 8,4798,479English Lowest department Harvard English 44English Median department 8 measured 2626English Highest department Penn English 6262Political 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% 645 528/645 0.8186046511627907%
Columbia Political Science 35 35/35 1.0% 24/35 0.6857142857142857% 35/35 1.0% 911 525/911 0.5762897914379802%
Harvard Government 34 34/34 1.0% 26/34 0.7647058823529411% 33/34 0.9705882352941176% 725 551/725 0.76%
Yale Political Science 34 34/34 1.0% 32/34 0.9411764705882353% 33/34 0.9705882352941176% 480 388/480 0.8083333333333333%
Penn Political Science 33 33/33 1.0% 28/33 0.8484848484848485% 33/33 1.0% 641 465/641 0.7254290171606864%
Cornell Government 31 31/31 1.0% 26/31 0.8387096774193549% 30/31 0.967741935483871% 761 518/761 0.6806833114323259%
Dartmouth Government 28 28/28 1.0% 24/28 0.8571428571428571% 26/28 0.9285714285714286% 427 335/427 0.7845433255269321%
Brown Political Science 27 27/27 1.0% 21/27 0.7777777777777778% 27/27 1.0% 380 253/380 0.6657894736842105%
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 226 129/226 0.5707964601769911%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 83 67/83 0.8072289156626506%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 49 13/49 0.2653061224489796%
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 798 630/798 0.7894736842105263%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 580 391/580 0.6741379310344827%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 118 60/118 0.5084745762711864%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 792 425/792 0.5366161616161617%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 392 372/392 0.9489795918367347%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 703 615/703 0.8748221906116643%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 71 46/71 0.647887323943662%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 246 207/246 0.8414634146341463%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 18 5/18 0.2777777777777778%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 352 286/352 0.8125%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 125 107/125 0.856%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 27 18/27 0.6666666666666666%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 11 10/11 0.9090909090909091%
  • 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 179179 · 3 departmentsHarvardHarvard 158158 · 3 departmentsPennPenn 150150 · 3 departmentsDartmouthDartmouth 127127 · 3 departmentsCornellCornell 107107 · 3 departmentsYaleYale 9494 · 3 departmentsPrincetonPrinceton 8585 · 3 departmentsBrownBrown 4848 · 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 71 71/71 1.0% 46/71 0.647887323943662% 68/71 0.9577464788732394% 1454 1168/1454 0.8033012379642366%
Yale 71 71/71 1.0% 41/71 0.5774647887323944% 67/71 0.9436619718309859% 1098 889/1098 0.8096539162112932%
Brown 68 68/68 1.0% 35/68 0.5147058823529411% 68/68 1.0% 1043 711/1043 0.6816874400767018%
Cornell 57 57/57 1.0% 34/57 0.5964912280701754% 53/57 0.9298245614035088% 1162 817/1162 0.7030981067125646%
Columbia 54 54/54 1.0% 34/54 0.6296296296296297% 53/54 0.9814814814814815% 1275 792/1275 0.6211764705882353%
Penn 53 53/53 1.0% 40/53 0.7547169811320755% 52/53 0.9811320754716981% 1415 1126/1415 0.7957597173144876%
Harvard 52 52/52 1.0% 32/52 0.6153846153846154% 51/52 0.9807692307692307% 1535 981/1535 0.6390879478827362%
Dartmouth 38 38/38 1.0% 28/38 0.7368421052631579% 35/38 0.9210526315789473% 579 460/579 0.7944732297063903%
  • 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 7676% · 2,944 of 3,897 worksPolitical SciencePolitical Science 7171% · 3,400 of 4,797 worksEnglishEnglish 5858% · 348 of 603 works0204060FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 76%, Political Science 71%, 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 269 269/269 1.0% 219/269 0.8141263940520446% 262/269 0.9739776951672863% 4797 3400/4797 0.7087763185324161%
English 108 108/108 1.0% 25/108 0.23148148148148148% 98/108 0.9074074074074074% 603 348/603 0.5771144278606966%
Chemistry 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 3897 2944/3897 0.7554529124967924%
  • 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.