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 Government 266
2 Cornell English 254
3 Columbia Political Science 240
4 Columbia English 222
5 Yale Chemistry 201
6 Harvard Chemistry 194
7 Penn Political Science 136
8 Penn Chemistry 112
9 Harvard English 107
10 Columbia Chemistry 102
11 Dartmouth English 101
12 Princeton Politics 101
13 Yale Political Science 99
14 Princeton English 99
15 Cornell Chemistry 98
16 Penn English 98
17 Dartmouth Government 93
18 Princeton Chemistry 89
19 Brown Chemistry 89
20 Yale English 73
21 Brown English 62
22 Brown Political Science 55
23 Cornell Government 50
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.

3,100,943 citations over 19,932 of 27,498 works (72% carry a count). 441 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 Cornell Government 2,7022,702Political Science Median department 8 measured 5,4165,416Political Science Highest department Harvard Government 14,39814,398Chemistry Lowest department Dartmouth Chemistry 4,0574,057Chemistry Median department 8 measured 12,79012,790Chemistry Highest department Yale Chemistry 25,75025,750English Lowest department Brown English 404404English Median department 8 measured 650650English Highest department Cornell English 1,6491,649Political 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% 1857 1439/1857 0.7749057619816909%
Columbia Political Science 35 35/35 1.0% 24/35 0.6857142857142857% 35/35 1.0% 3015 1861/3015 0.6172470978441128%
Harvard Government 34 34/34 1.0% 26/34 0.7647058823529411% 33/34 0.9705882352941176% 2749 2071/2749 0.7533648599490724%
Yale Political Science 34 34/34 1.0% 32/34 0.9411764705882353% 33/34 0.9705882352941176% 1287 1024/1287 0.7956487956487956%
Penn Political Science 33 33/33 1.0% 28/33 0.8484848484848485% 33/33 1.0% 1698 1207/1698 0.7108362779740872%
Cornell Government 31 31/31 1.0% 26/31 0.8387096774193549% 30/31 0.967741935483871% 1444 985/1444 0.6821329639889196%
Dartmouth Government 28 28/28 1.0% 24/28 0.8571428571428571% 26/28 0.9285714285714286% 983 766/983 0.7792472024415056%
Brown Political Science 27 27/27 1.0% 21/27 0.7777777777777778% 27/27 1.0% 1184 833/1184 0.7035472972972973%
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 678 393/678 0.5796460176991151%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 436 309/436 0.7087155963302753%
Cornell English 20 20/20 1.0% 3/20 0.15% 17/20 0.85% 501 154/501 0.3073852295409182%
Princeton Chemistry 20 20/20 1.0% 8/20 0.4% 20/20 1.0% 1963 1667/1963 0.8492103922567499%
Brown Chemistry 17 17/17 1.0% 11/17 0.6470588235294118% 17/17 1.0% 2040 1482/2040 0.7264705882352941%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 446 282/446 0.6322869955156951%
Harvard Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 1735 827/1735 0.47665706051873197%
Yale Chemistry 11 11/11 1.0% 5/11 0.45454545454545453% 11/11 1.0% 1664 1578/1664 0.9483173076923077%
Penn Chemistry 10 10/10 1.0% 8/10 0.8% 10/10 1.0% 1992 1760/1992 0.8835341365461847%
Penn English 10 10/10 1.0% 4/10 0.4% 9/10 0.9% 244 149/244 0.610655737704918%
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% 208 103/208 0.4951923076923077%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 701 584/701 0.833095577746077%
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% 216 100/216 0.46296296296296297%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 113 80/113 0.7079646017699115%
  • 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.HarvardHarvard 189189 · 3 departmentsColumbiaColumbia 188188 · 3 departmentsCornellCornell 134134 · 3 departmentsYaleYale 125125 · 3 departmentsPennPenn 115115 · 3 departmentsPrincetonPrinceton 9696 · 3 departmentsDartmouthDartmouth 7575 · 3 departmentsBrownBrown 6969 · 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% 3933 3186/3933 0.8100686498855835%
Yale 71 71/71 1.0% 41/71 0.5774647887323944% 67/71 0.9436619718309859% 3629 2995/3629 0.825296224855332%
Brown 68 68/68 1.0% 35/68 0.5147058823529411% 68/68 1.0% 3660 2624/3660 0.7169398907103826%
Cornell 57 57/57 1.0% 34/57 0.5964912280701754% 53/57 0.9298245614035088% 2646 1723/2646 0.6511715797430083%
Columbia 54 54/54 1.0% 34/54 0.6296296296296297% 53/54 0.9814814814814815% 4118 2725/4118 0.6617289946576008%
Penn 53 53/53 1.0% 40/53 0.7547169811320755% 52/53 0.9811320754716981% 3934 3116/3934 0.7920691408235893%
Harvard 52 52/52 1.0% 32/52 0.6153846153846154% 51/52 0.9807692307692307% 4692 3001/4692 0.6395993179880648%
Dartmouth 38 38/38 1.0% 28/38 0.7368421052631579% 35/38 0.9210526315789473% 1471 1113/1471 0.7566281441196465%
  • 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% · 8,580 of 10,875 worksPolitical SciencePolitical Science 7171% · 9,782 of 13,781 worksEnglishEnglish 5555% · 1,570 of 2,842 works0204060FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 79%, Political Science 71%, English 55% 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% 13781 9782/13781 0.7098178651766925%
English 108 108/108 1.0% 25/108 0.23148148148148148% 98/108 0.9074074074074074% 2842 1570/2842 0.5524278676988037%
Chemistry 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 10875 8580/10875 0.7889655172413793%
  • 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.