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
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Journal

Socio-Economic Review

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Citation weight

Tierunranked
Weight in force1×
Weightingoff

Weight inputs

Each figure with its percentile among the ranked journals. A is the median, over the academics with a work here, of that academic’s citations to the works this site counts for them - never a Google Scholar profile total. Over every academic of this field, all years, whatever the filters select.

A · academics’ median6,179.0 · —
B · citations per work222.2 · —
N · works14 · —
P · academics7 · —
Formula result—
Below the thresholdfewer than 20 works: unranked, and weighs 1

From this institution

Under these filters. A work with no citation count is unknown here, never a zero.

Works4
Citations58 over 3 of 4 works
Citations per counted work19.3
Weighted citations—
Academics4
Departments4
First seen2024

Works placed per year

3 of these 4 works carry a year; an undated work is in no year. Works placed, under these filters.

Departments publishing there 4

DepartmentWorks
Brown Political Science1
Cornell Government1
Harvard Government1
Princeton Politics1

A work held by two departments counts once in each, so these add up to more than the works above.

Works placed there 4

YearTitleAcademicsCitations
2024The Gender Gap in Attitudes Toward Workplace Technological Change.Peter John Loewen44
2025There’s More to National Economies than the National Economy: Accountants, Imperials, and the City in GM ResearchMark McGann Blyth10
2025How Welfare and Credit Regimes Shape Economic Policies During Times of Crisis: The Case of Covid-19Andreas Wiedemann4
—The Political Economy of Skills and InequalityTorben Iversen—

Citations as counted, before any journal weight: 3 of these 4 works carry a count, and a work with no count is unknown, never a zero.