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 1,491
2 Harvard Chemistry 227
3 Brown Political Science 140
4 Columbia English 138
5 Dartmouth Government 129
6 Harvard English 123
7 Harvard Government 118
8 Cornell Chemistry 115
9 Penn Chemistry 111
10 Princeton Politics 110
11 Columbia Chemistry 103
12 Yale English 100
13 Penn English 99
14 Princeton Chemistry 97
15 Columbia Political Science 90
16 Cornell Government 89
17 Yale Political Science 85
18 Penn Political Science 81
19 Yale Chemistry 64
20 Dartmouth Chemistry 60
21 Princeton English 48
22 Brown Chemistry 40
23 Brown English 24
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.

108,796 citations over 3,089 of 4,412 works (70% carry a count). 356 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 Penn Political Science 207207Political Science Median department 8 measured 254254Political Science Highest department Brown Political Science 355355Chemistry Lowest department Brown Chemistry 218218Chemistry Median department 8 measured 546546Chemistry Highest department Harvard Chemistry 1,2421,242English Lowest department Brown English 22English Median department 7 measured 99English Highest department Dartmouth English 139139Political 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% 19 0/19 0.0%
Princeton Politics 47 47/47 1.0% 38/47 0.8085106382978723% 45/47 0.9574468085106383% 340 280/340 0.8235294117647058%
Columbia Political Science 35 35/35 1.0% 24/35 0.6857142857142857% 35/35 1.0% 418 247/418 0.5909090909090909%
Harvard Government 34 34/34 1.0% 26/34 0.7647058823529411% 33/34 0.9705882352941176% 368 282/368 0.7663043478260869%
Yale Political Science 34 34/34 1.0% 32/34 0.9411764705882353% 33/34 0.9705882352941176% 260 220/260 0.8461538461538461%
Penn Political Science 33 33/33 1.0% 28/33 0.8484848484848485% 33/33 1.0% 311 206/311 0.662379421221865%
Cornell Government 31 31/31 1.0% 26/31 0.8387096774193549% 30/31 0.967741935483871% 368 264/368 0.717391304347826%
Dartmouth Government 28 28/28 1.0% 24/28 0.8571428571428571% 26/28 0.9285714285714286% 210 164/210 0.780952380952381%
Brown Political Science 27 27/27 1.0% 21/27 0.7777777777777778% 27/27 1.0% 218 156/218 0.7155963302752294%
Yale English 26 26/26 1.0% 4/26 0.15384615384615385% 23/26 0.8846153846153846% 127 65/127 0.5118110236220472%
Brown English 24 24/24 1.0% 3/24 0.125% 24/24 1.0% 39 29/39 0.7435897435897436%
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% 210 151/210 0.719047619047619%
Columbia English 12 12/12 1.0% 8/12 0.6666666666666666% 11/12 0.9166666666666666% 69 28/69 0.4057971014492754%
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% 43 23/43 0.5348837209302325%
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% 15 4/15 0.26666666666666666%
Cornell Chemistry 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 156 125/156 0.8012820512820513%
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% 62 14/62 0.22580645161290322%
Princeton English 4 4/4 1.0% 0/4 0.0% 3/4 0.75% 5 4/5 0.8%
  • 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 560560 · 3 departmentsHarvardHarvard 156156 · 3 departmentsColumbiaColumbia 110110 · 3 departmentsCornellCornell 102102 · 2 of 3 departmentsPennPenn 9797 · 3 departmentsPrincetonPrinceton 8585 · 3 departmentsYaleYale 8383 · 3 departmentsBrownBrown 6868 · 3 departments0100200300400500UniversityMean 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% 718 554/718 0.7715877437325905%
Yale 71 71/71 1.0% 41/71 0.5774647887323944% 67/71 0.9436619718309859% 534 420/534 0.7865168539325843%
Brown 68 68/68 1.0% 35/68 0.5147058823529411% 68/68 1.0% 467 336/467 0.7194860813704497%
Cornell 57 57/57 1.0% 34/57 0.5964912280701754% 53/57 0.9298245614035088% 543 389/543 0.716390423572744%
Columbia 54 54/54 1.0% 34/54 0.6296296296296297% 53/54 0.9814814814814815% 565 341/565 0.6035398230088496%
Penn 53 53/53 1.0% 40/53 0.7547169811320755% 52/53 0.9811320754716981% 615 457/615 0.7430894308943089%
Harvard 52 52/52 1.0% 32/52 0.6153846153846154% 51/52 0.9807692307692307% 735 461/735 0.6272108843537415%
Dartmouth 38 38/38 1.0% 28/38 0.7368421052631579% 35/38 0.9210526315789473% 345 237/345 0.6869565217391305%
  • 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 1,624 worksPolitical SciencePolitical Science 7272% · 1,739 of 2,409 worksEnglishEnglish 4444% · 167 of 379 works02550FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 73%, Political Science 72%, English 44% 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% 2409 1739/2409 0.721876297218763%
English 108 108/108 1.0% 25/108 0.23148148148148148% 98/108 0.9074074074074074% 379 167/379 0.44063324538258575%
Chemistry 87 87/87 1.0% 46/87 0.5287356321839081% 87/87 1.0% 1624 1183/1624 0.728448275862069%
  • 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.