---
title: "OpenML: papers using this data, journals and trends"
description: "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)."
url: https://scholar4ai.com/datasets/openml
markdown_url: https://scholar4ai.com/datasets/openml.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# OpenML

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/5.md)

Repositories and competition platforms that host many tabular and other datasets.

- data category: Public machine learning repositories
- 0 papers in the last 7 days
- Names searched for: OpenML

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Public machine learning repositories datasets: https://scholar4ai.com/datasets/public-machine-learning-repositories.md



## Key findings

- 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 (2026-10-07 to 2026-11-05), ranking #127 of the 246 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.

## Mentions over 36 months

*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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 23 | 17 | 31 | 71 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 18 | 16 | 25 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 3 | 2 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| All categories | 2 | 0 | 1 | 0 | 1 | 0 | 4 | 21 | 20 | 28 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 16 |
| 2 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 5 |
| 3 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 4 |
| 4 | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 4 |
| 5 | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 4 |
| 6 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 3 |
| 7 | [International Journal of Approximate Reasoning](https://scholar4ai.com/journals/international-journal-of-approximate-reasoning.md) | 3 |
| 8 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| 9 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 3 |
| 10 | [IEEE Transactions on Evolutionary Computation](https://scholar4ai.com/journals/ieee-transactions-on-evolutionary-computation.md) | 3 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Ludwig-Maximilians-Universität München](https://scholar4ai.com/institutions/ludwig-maximilians-universitat-munchen.md) | 4 |
| 2 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 3 |
| 3 | [Eindhoven University of Technology](https://scholar4ai.com/institutions/eindhoven-university-of-technology.md) | 3 |
| 4 | [Leiden University](https://scholar4ai.com/institutions/leiden-university.md) | 3 |
| 5 | Munich Center for Machine Learning | 3 |
| 6 | TU Dortmund University | 3 |
| 7 | Instituto Federal de Educação, Ciência e Tecnologia do Pará | 2 |
| 8 | Jožef Stefan Institute | 2 |
| 9 | Jožef Stefan International Postgraduate School | 2 |
| 10 | Lamarr Institute for Machine Learning and Artificial Intelligence | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | Germany | 15 |
| 2 | United States | 9 |
| 3 | Spain | 8 |
| 4 | France | 8 |
| 5 | China | 7 |
| 6 | Netherlands | 7 |
| 7 | Brazil | 6 |
| 8 | Italy | 6 |
| 9 | Australia | 5 |
| 10 | United Kingdom | 4 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | tabular data | 15 |
| 2 | automated machine learning | 9 |
| 3 | [computational efficiency](https://scholar4ai.com/keywords/computational-efficiency.md) | 7 |
| 4 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 7 |
| 5 | [hyperparameter optimization](https://scholar4ai.com/keywords/hyperparameter-optimization.md) | 6 |
| 6 | classification | 5 |
| 7 | [meta-learning](https://scholar4ai.com/keywords/meta-learning.md) | 5 |
| 8 | [random forest](https://scholar4ai.com/keywords/random-forest.md) | 5 |
| 9 | regression analysis | 5 |
| 10 | [feature selection](https://scholar4ai.com/keywords/feature-selection.md) | 4 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 339 | 9.9 | [Interpretable scientific discovery with symbolic regression: a review](https://doi.org/10.1007/s10462-023-10622-0) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-01-01 | Nour Makke, Sanjay Chawla |
| 2 | 150 | 4.9 | [Automated machine learning: past, present and future](https://doi.org/10.1007/s10462-024-10726-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-04-18 | Mitra Baratchi, Can Wang, Steffen Limmer et al. |
| 3 | 102 | 1.5 | [Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering](https://doi.org/10.1016/j.dss.2021.113556) | [Decision Support Systems](https://scholar4ai.com/journals/decision-support-systems.md) | 2021-03-26 | Alicja Gosiewska, Anna Kozak, Przemysław Biecek |
| 4 | 89 | 0.8 | [Meta-QSAR: a large-scale application of meta-learning to drug design and discovery](https://doi.org/10.1007/s10994-017-5685-x) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2017-12-22 | Iván Olier, Noureddin Sadawi, G. Richard Bickerton et al. |
| 5 | 88 | 3.3 | [Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review](https://doi.org/10.1007/s10462-024-10873-5) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-08-08 | Archana Bathula, Suneet Kumar Gupta, Suresh Merugu et al. |

## Used together with

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.

*What papers use OpenML together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [UCI Machine Learning Repository](https://scholar4ai.com/datasets/uci-machine-learning-repository.md) | Dataset | 25 | 24.3 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 14 | 14.9 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 10 | 2.6 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 10 | 5.5 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 7 | 3.1 |
| [German Credit (UCI Statlog)](https://scholar4ai.com/datasets/german-credit-uci-statlog.md) | Dataset | 7 | 37.7 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 3 | 5.4 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning OpenML in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-21 | [Auditable distillation of tabular foundation models into percentile-based fuzzy rules under a concept bottleneck](https://doi.org/10.1016/j.ins.2026.124327) | [Information Sciences](https://scholar4ai.com/journals/information-sciences.md) | Jacek Kluska, Tomasz Stachyra, Ewelina Jamrozik | Rzeszów University of Technology |
| 2026-10-17 | [Language modeling on tabular data: a survey of foundations, techniques and evolution](https://doi.org/10.1007/s10462-026-11726-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Yucheng Ruan, Xiang Lan, Jingying Ma et al. | National University of Singapore; Institute of Data Science |

## Cite this page

Scholar4AI. (2026). OpenML. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/openml

```bibtex
@misc{scholar4ai-datasets-openml,
  author = {{Scholar4AI}},
  title = {OpenML},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/openml}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).