Kaggle

data category: Public machine learning repositories · 1 paper in the last 7 days

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

Names searched for: Kaggle

Key findings#

From Nov 2023 to Oct 2026, 529 archived papers mentioned Kaggle in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in May 2024 (25).
Kaggle was mentioned in 4 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #84 of the 255 datasets mentioned.
By journal category: AI (2), Finance (1) and Statistics (1).
Most of them appeared in Artificial Intelligence Review (2), Financial Innovation (1) and Journal of Multivariate Analysis (1).
From 2017 to 2026 (so far), Kaggle was mentioned in 568 papers in the tracked journals, most of them in AI (431), operations research (26) and information systems (23).
189 of them were published in 2025, against 2 in 2017.
Since 2023, the institutions with the most of these papers were Florida Atlantic University (10), Mansoura University (10) and Universidad de Granada (9).
The journals publishing most of them were Artificial Intelligence Review (80), Journal Of Big Data (66) and Neural Computing and Applications (64).
The most-cited of them is “One Pixel Attack for Fooling Deep Neural Networks” (IEEE Transactions on Evolutionary Computation, 2019), with 2,404 citations.
Papers use Kaggle most often with ImageNet (96), Twitter / X (80) and UCI Machine Learning Repository (76); it has 86 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
	181	193	155	529

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	1	1	2	3	3	3	35	149	148	86
Operations Research	0	0	0	0	0	0	3	5	8	10
Information Systems	1	0	0	1	0	0	3	3	10	5
Economics	0	0	0	1	1	2	2	2	10	4
Management	0	0	0	0	0	0	3	3	4	9
Statistics	0	0	0	0	0	0	0	7	3	7
Finance	0	0	0	0	0	0	0	2	4	8
Higher Education and Research	0	0	0	0	0	0	1	2	1	4
Marketing	0	0	1	0	0	0	0	3	0	2
Accounting	0	0	0	0	0	0	0	1	0	0
Tourism and Hospitality	0	0	0	0	0	0	0	0	1	0
All categories	2	1	3	5	4	5	47	177	189	135

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Artificial Intelligence Review	80
2	Journal Of Big Data	66
3	Neural Computing and Applications	64
4	Machine Learning	47
5	Expert Systems with Applications	29
6	Pattern Recognition	13
7	Knowledge-Based Systems	13
8	Information Fusion	13
9	IEEE Transactions on Artificial Intelligence	11
10	Knowledge and Information Systems	10

Institutions with the most papers, since 2023
#	Institution	Papers
1	Florida Atlantic University	10
2	Mansoura University	10
3	Universidad de Granada	9
4	Yeungnam University	9
5	Deakin University	7
6	Kafrelsheikh University	7
7	University of Glasgow	7
8	Monash University	6
9	National University of Singapore	6
10	Shanghai Jiao Tong University	6

Countries with the most papers, since 2023
#	Country	Papers
1	United States	72
2	United Kingdom	67
3	China	65
4	Egypt	46
5	India	45
6	Australia	42
7	Spain	39
8	Italy	39
9	Turkey	30
10	Saudi Arabia	29

Keywords with the most papers, since 2023
#	Keyword	Papers
1	class imbalance	56
2	explainable AI	41
3	deep learning	38
4	convolutional neural networks	34
5	transfer learning	30
6	ensemble learning	26
7	large language models	26
8	random forest	26
9	feature selection	22
10	SHAP	21

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	2,404	25.6	One Pixel Attack for Fooling Deep Neural Networks	IEEE Transactions on Evolutionary Computation	2019-01-04	Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai
2	633	20.2	Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods	Journal Of Big Data	2024-03-26	Huanjing Wang, Qianxin Liang, John Hancock et al.
3	548	15.7	A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation	Expert Systems with Applications	2023-12-09	Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
4	522	16.4	Federated learning for medical image analysis: A survey	Pattern Recognition	2024-03-12	Hao Guan, Pew‐Thian Yap, Andrea Bozoki et al.
5	519	7.1	Deep learning based detection and analysis of COVID-19 on chest X-ray images	Applied Intelligence	2020-10-09	Rachna Jain, Meenu Gupta, Soham Taneja 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.

Used together with#

Papers use Kaggle most often with ImageNet (96), Twitter / X (80) and UCI Machine Learning Repository (76); it has 86 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 Kaggle together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
ImageNet	Dataset	96	3.1
Twitter / X	Dataset	80	1.5
UCI Machine Learning Repository	Dataset	76	9.2
Facebook	Dataset	46	1.3
YouTube / TikTok	Dataset	42	1.9
CIFAR-10 / CIFAR-100	Dataset	39	2.2
MNIST / Fashion-MNIST	Dataset	31	2.2
Reddit	Dataset	26	3.5
Wikipedia	Dataset	26	2.0
Hugging Face Hub	Dataset	23	3.7
MIMIC	Dataset	21	5.9
Credit card fraud data (Kaggle, PaySim, IEEE-CIS)	Dataset	20	21.8

Papers mentioning Kaggle in the last 30 days, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-30	Narrative theory-driven LLM methods for automatic story generation and understanding: a survey	Artificial Intelligence Review	David Y. Liu, Aditya Joshi, Paul A. Dawson	UNSW Sydney
2026-10-17	Language modeling on tabular data: a survey of foundations, techniques and evolution	Artificial Intelligence Review	Yucheng Ruan, Xiang Lan, Jingying Ma et al.	National University of Singapore; Institute of Data Science
2026-10-16	Generative deep learning for class imbalance in credit risk modeling: comparative evaluation of synthetic oversampling methods and an elastic oversampling extension	Financial Innovation	Tae Yeon Kwon	Hankuk University of Foreign Studies
2026-10-08	Dimension reduction of multivariate densities in Bayes spaces	Journal of Multivariate Analysis	Adéla Czolková, Karel Hron, Sonja Greven	Palacký University Olomouc; Humboldt-Universität zu Berlin

Cite this page

Scholar4AI. (2026). Kaggle. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/kaggle

@misc{scholar4ai-datasets-kaggle,
  author = {{Scholar4AI}},
  title = {Kaggle},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/kaggle}},
  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).