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 Cornell English 823
2 Columbia English 299
3 Columbia Political Science 265
4 Yale Chemistry 191
5 Harvard Chemistry 144
6 Columbia Chemistry 144
7 Harvard Government 141
8 Harvard English 121
9 Penn Political Science 115
10 Brown Chemistry 113
11 Yale English 101
12 Yale Political Science 100
13 Dartmouth Government 100
14 Princeton English 99
15 Princeton Chemistry 87
16 Cornell Chemistry 79
17 Brown English 78
18 Penn English 78
19 Dartmouth English 72
20 Princeton Politics 71
21 Penn Chemistry 63
22 Cornell Government 60
23 Brown Political Science 36
24 Dartmouth Chemistry 28

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.

2,407,300 citations over 12,398 of 17,649 works (70% carry a count). 162 of 172 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.010,00020,00030,00040,00050,000Political Science Lowest department Brown Political Science 4,5004,500Political Science Median department 8 measured 12,44912,449Political Science Highest department Columbia Political Science 33,04833,048Chemistry Lowest department Dartmouth Chemistry 6,2026,202Chemistry Median department 8 measured 22,22222,222Chemistry Highest department Yale Chemistry 42,53642,536English Lowest department Dartmouth English 912912English Median department 8 measured 1,2641,264English Highest department Cornell English 10,40410,404Political 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
Harvard Government 24 24/24 1.0% 16/24 0.6666666666666666% 23/24 0.9583333333333334% 2458 1828/2458 0.7436940602115542%
Penn Political Science 15 15/15 1.0% 14/15 0.9333333333333333% 15/15 1.0% 1279 870/1279 0.6802189210320563%
Princeton Politics 13 13/13 1.0% 9/13 0.6923076923076923% 12/13 0.9230769230769231% 900 654/900 0.7266666666666667%
Brown Political Science 12 12/12 1.0% 7/12 0.5833333333333334% 12/12 1.0% 753 519/753 0.6892430278884463%
Columbia Political Science 12 12/12 1.0% 8/12 0.6666666666666666% 12/12 1.0% 2378 1341/2378 0.563919259882254%
Yale Political Science 11 11/11 1.0% 10/11 0.9090909090909091% 11/11 1.0% 861 665/861 0.7723577235772358%
Brown English 9 9/9 1.0% 2/9 0.2222222222222222% 9/9 1.0% 258 186/258 0.7209302325581395%
Princeton Chemistry 9 9/9 1.0% 5/9 0.5555555555555556% 9/9 1.0% 1439 1192/1439 0.828353022932592%
Dartmouth Government 7 7/7 1.0% 6/7 0.8571428571428571% 7/7 1.0% 406 325/406 0.8004926108374384%
Harvard Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 1344 525/1344 0.390625%
Yale English 7 7/7 1.0% 1/7 0.14285714285714285% 6/7 0.8571428571428571% 343 193/343 0.5626822157434402%
Brown Chemistry 6 6/6 1.0% 3/6 0.5% 6/6 1.0% 1234 811/1234 0.6572123176661264%
Cornell Government 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 603 394/603 0.6533996683250415%
Penn English 6 6/6 1.0% 3/6 0.5% 5/6 0.8333333333333334% 175 108/175 0.6171428571428571%
Yale Chemistry 6 6/6 1.0% 3/6 0.5% 6/6 1.0% 1300 1245/1300 0.9576923076923077%
Columbia English 4 4/4 1.0% 2/4 0.5% 4/4 1.0% 304 205/304 0.6743421052631579%
Cornell English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 109 69/109 0.6330275229357798%
Harvard English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 168 80/168 0.47619047619047616%
Penn Chemistry 3 3/3 1.0% 2/3 0.6666666666666666% 3/3 1.0% 550 527/550 0.9581818181818181%
Columbia Chemistry 2 2/2 1.0% 1/2 0.5% 2/2 1.0% 367 366/367 0.997275204359673%
Dartmouth Chemistry 2 2/2 1.0% 1/2 0.5% 2/2 1.0% 144 139/144 0.9652777777777778%
Dartmouth English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 168 63/168 0.375%
Princeton English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 106 74/106 0.6981132075471698%
Cornell Chemistry 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 194 193/194 0.9948453608247423%
  • 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.CornellCornell 321321 · 3 departmentsColumbiaColumbia 236236 · 3 departmentsHarvardHarvard 135135 · 3 departmentsYaleYale 131131 · 3 departmentsPrincetonPrinceton 8686 · 3 departmentsPennPenn 8585 · 3 departmentsBrownBrown 7575 · 3 departmentsDartmouthDartmouth 6767 · 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
Harvard 34 34/34 1.0% 19/34 0.5588235294117647% 33/34 0.9705882352941176% 3970 2433/3970 0.6128463476070529%
Brown 27 27/27 1.0% 12/27 0.4444444444444444% 27/27 1.0% 2245 1516/2245 0.6752783964365257%
Penn 24 24/24 1.0% 19/24 0.7916666666666666% 23/24 0.9583333333333334% 2004 1505/2004 0.750998003992016%
Princeton 24 24/24 1.0% 14/24 0.5833333333333334% 23/24 0.9583333333333334% 2445 1920/2445 0.7852760736196319%
Yale 24 24/24 1.0% 14/24 0.5833333333333334% 23/24 0.9583333333333334% 2504 2103/2504 0.8398562300319489%
Columbia 18 18/18 1.0% 11/18 0.6111111111111112% 18/18 1.0% 3049 1912/3049 0.627090849458839%
Dartmouth 11 11/11 1.0% 7/11 0.6363636363636364% 11/11 1.0% 718 527/718 0.733983286908078%
Cornell 10 10/10 1.0% 7/10 0.7% 10/10 1.0% 906 656/906 0.7240618101545254%
  • 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% · 4,994 of 6,568 worksPolitical SciencePolitical Science 6868% · 6,426 of 9,450 worksEnglishEnglish 6060% · 978 of 1,631 works0204060FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 76%, Political Science 68%, English 60% 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 100 100/100 1.0% 75/100 0.75% 98/100 0.98% 9450 6426/9450 0.68%
Chemistry 36 36/36 1.0% 18/36 0.5% 36/36 1.0% 6568 4994/6568 0.760353227771011%
English 36 36/36 1.0% 10/36 0.2777777777777778% 34/36 0.9444444444444444% 1631 978/1631 0.5996321275291232%
  • 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.