From Nov 2023 to Oct 2026, 71 archived papers mentioned OpenML in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2026 (7).
OpenML was mentioned in 2 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #133 of the 255 datasets mentioned.
By journal category: AI (2).
Most of them appeared in Information Sciences (1) and Artificial Intelligence Review (1).
From 2017 to 2026 (so far), OpenML was mentioned in 77 papers in the tracked journals, most of them in AI (63), statistics (9) and information systems (3).
20 of them were published in 2025, against 2 in 2017.
Since 2023, the institutions with the most of these papers were Ludwig-Maximilians-Universität München (4), Centre National de la Recherche Scientifique (3) and Eindhoven University of Technology (3).
The journals publishing most of them were Machine Learning (16), Knowledge-Based Systems (5) and Artificial Intelligence Review (4).
The most-cited of them is “Interpretable scientific discovery with symbolic regression: a review” (Artificial Intelligence Review, 2024), with 339 citations.
Papers use OpenML most often with UCI Machine Learning Repository (25), Kaggle (14) and ImageNet (10); it has 7 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.
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)
Archana Bathula, Suneet Kumar Gupta, Suresh Merugu 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 OpenML most often with UCI Machine Learning Repository (25), Kaggle (14) and ImageNet (10); it has 7 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →
What papers use OpenML together with (at least 3 papers; lift 1 = chance)
National University of Singapore; Institute of Data Science
Cite this page
Scholar4AI. (2026). OpenML. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/openml
@misc{scholar4ai-datasets-openml,
author = {{Scholar4AI}},
title = {OpenML},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/openml}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
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