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

Studies in American Political Development

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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’ median5,821.0 · 39%
B · citations per work50.2 · 24%
N · works50 · 67%
P · academics21 · 50%
Formula result0.551

From this institution

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

Works8
Citations104 over 8 of 8 works
Citations per counted work13.0
Weighted citations—
Academics8
Departments6
First seen2022

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
Cornell Government2
Harvard Government2
Brown Political Science1
Columbia Political Science1
Penn Political Science1
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 8

YearTitleAcademicsCitations
2022From Many Divides, One? The Polarization and Nationalization of American State Party Platforms, 1918-2017Daniel J. Hopkins72
2024The Culture War and Partisan Polarization: State Political Parties, 1960–2018Justin H. Phillips14
2022Backlash Politics in America's Disunited and Polarized StateEric M. Patashnik7
2022Judicial Power and the Shifting Purpose of Article VDavid Alexander Bateman4
2022Social Justice Campaigns and Democratic Party Gains: How Georgia’s Partisan Reformers Overtook North Carolina’s Moral AdvocatesTheda Skocpol3
2024Old Patronage in the New Deal: Did Urban Machines Use Work Relief Programs to Benefit the Democratic Party?Stephanie Ternullo2
2022American Political Development and the Crises in American Politics.Paul Frymer2
2022The Opening Dilemma: Why Democracies Cannot Found ThemselvesRichard F. Bensel0

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.