From Nov 2023 to Oct 2026, 9 archived papers mentioned Congressional Record in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2025 (3).
Congressional Record was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
By journal category: Statistics (1).
Most of them appeared in Statistics and Computing (1).
From 2017 to 2026 (so far), Congressional Record was mentioned in 9 papers in the tracked journals, most of them in economics (3), statistics (1) and AI (1).
5 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Goethe University Frankfurt (2), Barcelona School of Economics (1) and Chalmers University of Technology (1).
The journals publishing most of them were Journal of International Economics (1), Minerva (1) and Review of Industrial Organization (1).
The most-cited of them is “Time to break up? The case for tailor-made digital platform regulation based on platform-governance standard types” (Electronic Markets, 2025), with 24 citations.
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers mentioning Congressional Record in the last 30 days, newest first.
Väinö Yrjänäinen, Isac Boström, Johan Jonasson et al.
Uppsala University; Chalmers University of Technology
Cite this page
Scholar4AI. (2026). Congressional Record. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/congressional-record
@misc{scholar4ai-datasets-congressional-record,
author = {{Scholar4AI}},
title = {Congressional Record},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/congressional-record}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
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