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 Chemistry 373
2 Columbia Chemistry 345
3 Dartmouth English 285
4 Columbia English 255
5 Columbia Political Science 237
6 Dartmouth Government 225
7 Harvard English 152
8 Cornell Government 122
9 Penn English 118
10 Penn Chemistry 114
11 Princeton Chemistry 113
12 Penn Political Science 104
13 Harvard Government 96
14 Yale Chemistry 87
15 Brown English 82
16 Yale English 81
17 Yale Political Science 69
18 Brown Chemistry 67
19 Dartmouth Chemistry 64
20 Princeton Politics 47
21 Brown Political Science 45
22 Cornell English 31
23 Princeton English 18
24 Cornell Chemistry 15

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.

383,352 citations over 3,433 of 5,217 works (66% carry a count). 152 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.02,0004,0006,0008,00010,00012,000Political Science Lowest department Brown Political Science 936936Political Science Median department 8 measured 2,0802,080Political Science Highest department Columbia Political Science 4,9244,924Chemistry Lowest department Cornell Chemistry 441441Chemistry Median department 8 measured 2,9612,961Chemistry Highest department Harvard Chemistry 11,04711,047English Lowest department Princeton English 1414English Median department 8 measured 7575English Highest department Dartmouth English 214214Political 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% 621 459/621 0.7391304347826086%
Penn Political Science 15 15/15 1.0% 14/15 0.9333333333333333% 15/15 1.0% 447 304/447 0.680089485458613%
Princeton Politics 13 13/13 1.0% 9/13 0.6923076923076923% 12/13 0.9230769230769231% 239 184/239 0.7698744769874477%
Brown Political Science 12 12/12 1.0% 7/12 0.5833333333333334% 12/12 1.0% 229 135/229 0.5895196506550219%
Columbia Political Science 12 12/12 1.0% 8/12 0.6666666666666666% 12/12 1.0% 689 348/689 0.5050798258345428%
Yale Political Science 11 11/11 1.0% 10/11 0.9090909090909091% 11/11 1.0% 234 185/234 0.7905982905982906%
Brown English 9 9/9 1.0% 2/9 0.2222222222222222% 9/9 1.0% 53 41/53 0.7735849056603774%
Princeton Chemistry 9 9/9 1.0% 5/9 0.5555555555555556% 9/9 1.0% 518 371/518 0.7162162162162162%
Dartmouth Government 7 7/7 1.0% 6/7 0.8571428571428571% 7/7 1.0% 167 142/167 0.8502994011976048%
Harvard Chemistry 7 7/7 1.0% 2/7 0.2857142857142857% 7/7 1.0% 538 235/538 0.4368029739776952%
Yale English 7 7/7 1.0% 1/7 0.14285714285714285% 6/7 0.8571428571428571% 86 40/86 0.46511627906976744%
Brown Chemistry 6 6/6 1.0% 3/6 0.5% 6/6 1.0% 307 164/307 0.5342019543973942%
Cornell Government 6 6/6 1.0% 5/6 0.8333333333333334% 6/6 1.0% 267 162/267 0.6067415730337079%
Penn English 6 6/6 1.0% 3/6 0.5% 5/6 0.8333333333333334% 64 34/64 0.53125%
Yale Chemistry 6 6/6 1.0% 3/6 0.5% 6/6 1.0% 208 204/208 0.9807692307692307%
Columbia English 4 4/4 1.0% 2/4 0.5% 4/4 1.0% 65 31/65 0.47692307692307695%
Cornell English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 14 6/14 0.42857142857142855%
Harvard English 3 3/3 1.0% 1/3 0.3333333333333333% 3/3 1.0% 36 10/36 0.2777777777777778%
Penn Chemistry 3 3/3 1.0% 2/3 0.6666666666666666% 3/3 1.0% 204 193/204 0.946078431372549%
Columbia Chemistry 2 2/2 1.0% 1/2 0.5% 2/2 1.0% 128 128/128 1.0%
Dartmouth Chemistry 2 2/2 1.0% 1/2 0.5% 2/2 1.0% 55 53/55 0.9636363636363636%
Dartmouth English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 49 4/49 0.08163265306122448%
Princeton English 2 2/2 1.0% 0/2 0.0% 2/2 1.0% 8 6/8 0.75%
Cornell Chemistry 1 1/1 1.0% 1/1 1.0% 1/1 1.0% 22 22/22 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.ColumbiaColumbia 279279 · 3 departmentsHarvardHarvard 207207 · 3 departmentsDartmouthDartmouth 191191 · 3 departmentsPennPenn 112112 · 3 departmentsYaleYale 7979 · 3 departmentsBrownBrown 6565 · 3 departmentsPrincetonPrinceton 5959 · 3 departmentsCornellCornell 5656 · 3 departments050100150200250UniversityMean 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% 1195 704/1195 0.5891213389121339%
Brown 27 27/27 1.0% 12/27 0.4444444444444444% 27/27 1.0% 589 340/589 0.5772495755517827%
Penn 24 24/24 1.0% 19/24 0.7916666666666666% 23/24 0.9583333333333334% 715 531/715 0.7426573426573426%
Princeton 24 24/24 1.0% 14/24 0.5833333333333334% 23/24 0.9583333333333334% 765 561/765 0.7333333333333333%
Yale 24 24/24 1.0% 14/24 0.5833333333333334% 23/24 0.9583333333333334% 528 429/528 0.8125%
Columbia 18 18/18 1.0% 11/18 0.6111111111111112% 18/18 1.0% 882 507/882 0.5748299319727891%
Dartmouth 11 11/11 1.0% 7/11 0.6363636363636364% 11/11 1.0% 271 199/271 0.7343173431734318%
Cornell 10 10/10 1.0% 7/10 0.7% 10/10 1.0% 303 190/303 0.6270627062706271%
  • 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 6969% · 1,369 of 1,979 worksPolitical SciencePolitical Science 6666% · 1,892 of 2,863 worksEnglishEnglish 4646% · 172 of 375 works02550FieldPer cent of the selected works with a citation count

Coverage differs by field - Chemistry 69%, Political Science 66%, English 46% 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% 2863 1892/2863 0.6608452672022355%
Chemistry 36 36/36 1.0% 18/36 0.5% 36/36 1.0% 1979 1369/1979 0.6917635169277413%
English 36 36/36 1.0% 10/36 0.2777777777777778% 34/36 0.9444444444444444% 375 172/375 0.45866666666666667%
  • 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.