From Nov 2023 to Oct 2026, 83 archived papers mentioned ExecuComp in their title, abstract, keywords or full text, most of them in Apr 2024 (6).
No paper of the tracked journals mentioned ExecuComp in the last 30 days (2026-10-06 to 2026-11-04).
From 2017 to 2026 (so far), ExecuComp was mentioned in 86 papers in the tracked journals, most of them in finance (45), accounting (23) and management (13).
28 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were University of Leeds (7), Monash University (5) and Aston University (4).
The journals publishing most of them were Review of Quantitative Finance and Accounting (12), Journal of Corporate Finance (11) and Review of Accounting Studies (10).
The most-cited of them is “Knowledge diversity and technological innovation: The moderating role of top management teams” (Technovation, 2024), with 52 citations.
Papers use ExecuComp most often with Compustat (81), CRSP (59) and BoardEx (30); it has 34 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.
Zicheng Lei, Dimitris Petmezas, P. Raghavendra Rau et al.
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 ExecuComp most often with Compustat (81), CRSP (59) and BoardEx (30); it has 34 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat. The whole network →
What papers use ExecuComp together with (at least 3 papers; lift 1 = chance)
Scholar4AI. (2026). ExecuComp. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/execucomp
@misc{scholar4ai-datasets-execucomp,
author = {{Scholar4AI}},
title = {ExecuComp},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/execucomp}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
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