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 Brown English 438
2 Princeton Chemistry 285
3 Princeton English 227
4 Harvard Chemistry 176
5 Brown Political Science 156
6 Harvard English 120
7 Brown Chemistry 109
8 Yale Chemistry 106
9 Princeton Politics 106
10 Yale Political Science 101
11 Columbia English 101
12 Penn Political Science 100
13 Cornell English 99
14 Penn English 99
15 Columbia Chemistry 94
16 Penn Chemistry 78
17 Harvard Government 74
18 Dartmouth Chemistry 63
19 Cornell Government 47
20 Cornell Chemistry 42
21 Yale English 14
22 Columbia Political Science 5
23 Dartmouth English 4
24 Dartmouth Government —

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.

224,043 citations over 1,993 of 2,212 works (90% carry a count). 96 of 306 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.01,0002,0003,0004,0005,0006,000Political Science Lowest department Columbia Political Science 77Political Science Median department 7 measured 140140Political Science Highest department Brown Political Science 219219Chemistry Lowest department Cornell Chemistry 794794Chemistry Median department 8 measured 1,9101,910Chemistry Highest department Princeton Chemistry 5,4425,442English Lowest department Dartmouth English 00English Median department 8 measured 1111English Highest department Brown English 4949Political 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
Dartmouth Government 0 — — — 0 —
Columbia English 34 0/34 0.0% 2/34 0.058823529411764705% 0/34 0.0% 20 7/20 0.35%
Cornell Chemistry 25 0/25 0.0% 12/25 0.48% 0/25 0.0% 305 282/305 0.9245901639344263%
Princeton English 25 0/25 0.0% 3/25 0.12% 0/25 0.0% 17 16/17 0.9411764705882353%
Dartmouth English 23 0/23 0.0% 2/23 0.08695652173913043% 0/23 0.0% 3 1/3 0.3333333333333333%
Penn English 22 0/22 0.0% 4/22 0.18181818181818182% 0/22 0.0% 38 22/38 0.5789473684210527%
Penn Chemistry 20 0/20 0.0% 13/20 0.65% 0/20 0.0% 380 363/380 0.9552631578947368%
Harvard English 18 0/18 0.0% 2/18 0.1111111111111111% 0/18 0.0% 13 11/13 0.8461538461538461%
Columbia Chemistry 17 0/17 0.0% 9/17 0.5294117647058824% 0/17 0.0% 339 308/339 0.9085545722713865%
Cornell English 17 4/17 0.23529411764705882% 4/17 0.23529411764705882% 1/17 0.058823529411764705% 23 9/23 0.391304347826087%
Yale Chemistry 14 1/14 0.07142857142857142% 9/14 0.6428571428571429% 1/14 0.07142857142857142% 297 260/297 0.8754208754208754%
Yale English 13 2/13 0.15384615384615385% 0/13 0.0% 1/13 0.07692307692307693% 1 1/1 1.0%
Princeton Chemistry 12 0/12 0.0% 6/12 0.5% 0/12 0.0% 161 157/161 0.9751552795031055%
Harvard Chemistry 11 0/11 0.0% 7/11 0.6363636363636364% 0/11 0.0% 242 230/242 0.9504132231404959%
Dartmouth Chemistry 10 1/10 0.1% 8/10 0.8% 1/10 0.1% 203 189/203 0.9310344827586207%
Princeton Politics 9 1/9 0.1111111111111111% 3/9 0.3333333333333333% 0/9 0.0% 20 17/20 0.85%
Yale Political Science 8 2/8 0.25% 4/8 0.5% 2/8 0.25% 47 37/47 0.7872340425531915%
Harvard Government 6 0/6 0.0% 1/6 0.16666666666666666% 0/6 0.0% 12 9/12 0.75%
Columbia Political Science 5 0/5 0.0% 1/5 0.2% 0/5 0.0% 6 3/6 0.5%
Brown English 4 0/4 0.0% 1/4 0.25% 0/4 0.0% 3 2/3 0.6666666666666666%
Cornell Government 4 0/4 0.0% 2/4 0.5% 0/4 0.0% 13 11/13 0.8461538461538461%
Penn Political Science 4 1/4 0.25% 0/4 0.0% 1/4 0.25% 6 5/6 0.8333333333333334%
Brown Political Science 3 0/3 0.0% 1/3 0.3333333333333333% 0/3 0.0% 25 15/25 0.6%
Brown Chemistry 2 0/2 0.0% 2/2 1.0% 0/2 0.0% 50 50/50 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.BrownBrown 235235 · 3 departmentsPrincetonPrinceton 206206 · 3 departmentsHarvardHarvard 123123 · 3 departmentsPennPenn 9292 · 3 departmentsYaleYale 7474 · 3 departmentsColumbiaColumbia 6767 · 3 departmentsCornellCornell 6363 · 3 departmentsDartmouthDartmouth 3333 · 2 of 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
Columbia 56 0/56 0.0% 12/56 0.21428571428571427% 0/56 0.0% 365 318/365 0.8712328767123287%
Cornell 46 4/46 0.08695652173913043% 18/46 0.391304347826087% 1/46 0.021739130434782608% 341 302/341 0.8856304985337243%
Penn 46 1/46 0.021739130434782608% 17/46 0.3695652173913043% 1/46 0.021739130434782608% 424 390/424 0.9198113207547169%
Princeton 46 1/46 0.021739130434782608% 12/46 0.2608695652173913% 0/46 0.0% 198 190/198 0.9595959595959596%
Harvard 35 0/35 0.0% 10/35 0.2857142857142857% 0/35 0.0% 267 250/267 0.9363295880149812%
Yale 35 5/35 0.14285714285714285% 13/35 0.37142857142857144% 4/35 0.11428571428571428% 345 298/345 0.863768115942029%
Dartmouth 33 1/33 0.030303030303030304% 10/33 0.30303030303030304% 1/33 0.030303030303030304% 206 190/206 0.9223300970873787%
Brown 9 0/9 0.0% 4/9 0.4444444444444444% 0/9 0.0% 78 67/78 0.8589743589743589%
  • 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 9393% · 1,827 of 1,965 worksPolitical SciencePolitical Science 7575% · 97 of 129 worksEnglishEnglish 5858% · 69 of 118 works020406080FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 93%, Political Science 75%, 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
English 156 6/156 0.038461538461538464% 18/156 0.11538461538461539% 2/156 0.01282051282051282% 118 69/118 0.5847457627118644%
Chemistry 111 2/111 0.018018018018018018% 66/111 0.5945945945945946% 2/111 0.018018018018018018% 1965 1827/1965 0.9297709923664123%
Political Science 39 4/39 0.10256410256410256% 12/39 0.3076923076923077% 3/39 0.07692307692307693% 129 97/129 0.751937984496124%
  • 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.