From Nov 2023 to Oct 2026, 58 archived papers mentioned DealScan in their title, abstract, keywords or full text, most of them in Jun 2026 (5).
No paper of the tracked journals mentioned DealScan in the last 30 days (2026-10-06 to 2026-11-04).
From 2017 to 2026 (so far), DealScan was mentioned in 60 papers in the tracked journals, most of them in finance (43), economics (10) and accounting (6).
14 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Audencia Business School (5), University of Reading (5) and Centre for Economic Policy Research (4).
The journals publishing most of them were Journal of Banking & Finance (8), Review of Quantitative Finance and Accounting (6) and Review of Accounting Studies (6).
The most-cited of them is “Climate change-related regulatory risks and bank lending” (Journal of International Economics, 2025), with 28 citations.
Papers use DealScan most often with Compustat (44), CRSP (12) and S&P 500 (9); it has 29 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.
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 use DealScan most often with Compustat (44), CRSP (12) and S&P 500 (9); it has 29 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat. The whole network →
What papers use DealScan together with (at least 3 papers; lift 1 = chance)
Scholar4AI. (2026). DealScan. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/dealscan
@misc{scholar4ai-datasets-dealscan,
author = {{Scholar4AI}},
title = {DealScan},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/dealscan}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).