From Nov 2023 to Oct 2026, 20 archived papers mentioned OptionMetrics in their title, abstract, keywords or full text, most of them in May 2026 (2).
No paper of the tracked journals mentioned OptionMetrics in the last 30 days (2026-10-07 to 2026-11-05).
From 2017 to 2026 (so far), OptionMetrics was mentioned in 22 papers in the tracked journals, most of them in finance (18), operations research (2) and management (1).
7 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Durham University (3), University of Liverpool (3) and Karlsruhe Institute of Technology (2).
The journals publishing most of them were Review of Derivatives Research (5), International Review of Financial Analysis (3) and Journal of Financial Economics (2).
The most-cited of them is “High-frequency trading in the stock market and the costs of options market making” (Journal of Financial Economics, 2024), with 21 citations.
Papers use OptionMetrics most often with S&P 500 (14), CRSP (10) and VIX (9); it has 10 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 OptionMetrics most often with S&P 500 (14), CRSP (10) and VIX (9); it has 10 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat. The whole network →
What papers use OptionMetrics together with (at least 3 papers; lift 1 = chance)
Scholar4AI. (2026). OptionMetrics. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/optionmetrics
@misc{scholar4ai-datasets-optionmetrics,
author = {{Scholar4AI}},
title = {OptionMetrics},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/optionmetrics}},
urldate = {2026-11-05},
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).