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

American Behavioral Scientist

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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’ median20,645.0 · —
B · citations per work64.2 · —
N · works8 · —
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.

Works8
Citations514 over 8 of 8 works
Citations per counted work64.2
Weighted citations—
Academics7
Departments6
First seen1992

Works placed per year

8 of these 8 works carry a year; an undated work is in no year. Works placed, under these filters.

Departments publishing there 6

DepartmentWorks
Harvard Government3
Yale Political Science2
Brown Political Science1
Columbia Political Science1
Cornell Government1
Penn Political Science1

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

Works placed there 8

YearTitleAcademicsCitations
2004Does Campaign Spending Work? Field experiments Provide Evidence and Suggest New Theory.Alan S. Gerber272
1992State Formation and Social Policy in the United StatesTheda Skocpol88
2004Efficiency, Bias, and Classification Schemes: A Response to Alan B. Krueger and Pei ZhuPaul E. Peterson71
2004Uses of Theory in Randomized Field Trials: Lessons From School Voucher Research on Disaggregation, Missing Data, and the Generalization of FindingsPaul E. Peterson40
2017Subnational – Cross-National Variation: Method and Analysis in Sub-Saharan AfricaRachel Beatty Riedl15
2021Exploring the role of media use within an integrated behavioral model (IBM) approach to vote likelihood.Matthew Levendusky10
2017The Theoretical Potential of the Within-Nation Comparison: How Subnational Analyses Can Enrich Our Understandings of the National Welfare StatePrerna Singh10
2004IntroductionAlan S. Gerber · Donald P. Green8

Citations as counted, before any journal weight: 8 of these 8 works carry a count, and a work with no count is unknown, never a zero.