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 778
2 Harvard Chemistry 227
3 Dartmouth Government 138
4 Yale English 136
5 Harvard Government 123
6 Cornell Chemistry 115
7 Princeton Politics 113
8 Penn Chemistry 111
9 Cornell Government 104
10 Columbia Chemistry 103
11 Columbia English 102
12 Princeton English 100
13 Princeton Chemistry 97
14 Yale Political Science 96
15 Columbia Political Science 95
16 Penn Political Science 90
17 Yale Chemistry 64
18 Dartmouth Chemistry 60
19 Brown Political Science 56
20 Penn English 49
21 Brown Chemistry 40
22 Brown English 34
23 Harvard English 6
24 Cornell English —

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.

94,585 citations over 2,919 of 4,112 works (71% carry a count). 346 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.02505007501,0001,250Political Science Lowest department Brown Political Science 118118Political Science Median department 8 measured 209209Political Science Highest department Dartmouth Government 289289Chemistry Lowest department Brown Chemistry 218218Chemistry Median department 8 measured 546546Chemistry Highest department Harvard Chemistry 1,2421,242English Lowest department Harvard English 00English Median department 7 measured 44English Highest department Dartmouth English 3535Political 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
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 18 0/18 0.0%
Princeton Politics 47 47/47 1.0% 38/47 0.8085106382978723% 45/47 0.9574468085106383% 321 266/321 0.8286604361370716%
Columbia Political Science 35 35/35 1.0% 24/35 0.6857142857142857% 35/35 1.0% 397 229/397 0.5768261964735516%
Harvard Government 34 34/34 1.0% 26/34 0.7647058823529411% 33/34 0.9705882352941176% 321 245/321 0.7632398753894081%
Yale Political Science 34 34/34 1.0% 32/34 0.9411764705882353% 33/34 0.9705882352941176% 246 208/246 0.8455284552845529%
Penn Political Science 33 33/33 1.0% 28/33 0.8484848484848485% 33/33 1.0% 286 188/286 0.6573426573426573%
Cornell Government 31 31/31 1.0% 26/31 0.8387096774193549% 30/31 0.967741935483871% 341 247/341 0.7243401759530792%
Dartmouth Government 28 28/28 1.0% 24/28 0.8571428571428571% 26/28 0.9285714285714286% 193 154/193 0.7979274611398963%
Brown Political Science 27 27/27 1.0% 21/27 0.7777777777777778% 27/27 1.0% 192 136/192 0.7083333333333334%
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 112 57/112 0.5089285714285714%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 29 24/29 0.8275862068965517%
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 373 270/373 0.7238605898123325%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 209 151/209 0.722488038277512%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 55 23/55 0.41818181818181815%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 352 175/352 0.4971590909090909%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 147 135/147 0.9183673469387755%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 261 228/261 0.8735632183908046%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 34 20/34 0.5882352941176471%
Columbia Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 78 66/78 0.8461538461538461%
Harvard English 7 7/7 1.0% 1/7 0.14285714285714285% 7/7 1.0% 6 2/6 0.3333333333333333%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 155 125/155 0.8064516129032258%
Dartmouth Chemistry 5 5/5 1.0% 2/5 0.4% 5/5 1.0% 73 59/73 0.8082191780821918%
Dartmouth English 5 5/5 1.0% 2/5 0.4% 4/5 0.8% 16 10/16 0.625%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 3 3/3 1.0%
  • 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 325325 · 3 departmentsHarvardHarvard 119119 · 3 departmentsCornellCornell 110110 · 2 of 3 departmentsPrincetonPrinceton 103103 · 3 departmentsColumbiaColumbia 100100 · 3 departmentsYaleYale 9999 · 3 departmentsPennPenn 8383 · 3 departmentsBrownBrown 4343 · 3 departments0100200300UniversityMean 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% 697 539/697 0.7733142037302726%
Yale 71 71/71 1.0% 41/71 0.5774647887323944% 67/71 0.9436619718309859% 505 400/505 0.7920792079207921%
Brown 68 68/68 1.0% 35/68 0.5147058823529411% 68/68 1.0% 430 311/430 0.7232558139534884%
Cornell 57 57/57 1.0% 34/57 0.5964912280701754% 53/57 0.9298245614035088% 514 372/514 0.7237354085603113%
Columbia 54 54/54 1.0% 34/54 0.6296296296296297% 53/54 0.9814814814814815% 530 318/530 0.6%
Penn 53 53/53 1.0% 40/53 0.7547169811320755% 52/53 0.9811320754716981% 581 436/581 0.7504302925989673%
Harvard 52 52/52 1.0% 32/52 0.6153846153846154% 51/52 0.9807692307692307% 679 422/679 0.6215022091310751%
Dartmouth 38 38/38 1.0% 28/38 0.7368421052631579% 35/38 0.9210526315789473% 282 223/282 0.7907801418439716%
  • 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 7373% · 1,183 of 1,622 worksPolitical SciencePolitical Science 7272% · 1,597 of 2,217 worksEnglishEnglish 5151% · 139 of 273 works02550FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 73%, Political Science 72%, English 51% 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% 2217 1597/2217 0.7203428055931439%
English 108 108/108 1.0% 25/108 0.23148148148148148% 98/108 0.9074074074074074% 273 139/273 0.5091575091575091%
Chemistry 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 1622 1183/1622 0.7293464858199753%
  • 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.