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.

27 rows under these filters. Open a row to see where each number came from.
Department University Field Academics Citations per academic Field median Index
English 8 departments 3,204 works · 57% counted 265 428 337 100
Field

English

close

Field

Departments8
Universities8
Academics265
Works3,204

Citations

Citations113,519
Citations per academic428
Median department337
Departments measured8 of 8

The index

A department’s index is its citations per academic over this field’s median, times 100, so the median department here scores 100. The median is over the departments these filters keep.

Cornell English267
Princeton English217
Columbia English127
Brown English105
Yale English95
Penn English63
Harvard English61
Dartmouth English42

Coverage

Coverage differs by field - English 57% of the selected works carry a citation count - so the index compares standing within a field and never absolute impact across fields.

Works with a count1,826 of 3,204
Share57%
Academics with one119 of 265

Where the gap is

Scholar for 857 works, OpenAlex for 969, 1,378 with no count. A work with no count is unknown here and is never counted as a zero.

Articles58% of 2,492
Books63% of 466
Edited volumes31% of 246
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