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

New Political Economy

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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’ median7,794.0 · —
B · citations per work94.5 · —
N · works10 · —
P · academics5 · —
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
Citations135 over 4 of 4 works
Citations per counted work33.8
Weighted citations—
Academics3
Departments2
First seen2017

Works placed per year

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

Departments publishing there 2

DepartmentWorks
Brown Political Science3
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
2018From Big Bang to Big Crash: The Early Origins of the UK’s Finance-led Growth Model and the Persistence of Bad Policy IdeasMark McGann Blyth62
2017Workers’ Rights in Global Value Chains: Possibilities for Protection and Peril.Layna Mosley60
2025What Do Central Bankers Talk About When They Talk About Inflation? The Rise and Fall of Inflation NarrativesMark McGann Blyth12
2026How China Swaps: The Operation of RMB Currency Swaps in Emerging and Developing Markets and their Impact on Currency InternationalizationAditi Sahasrabuddhe1

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