MIMIC
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Clinical records, medical images and physiological signals used in medical machine learning.
Key findings#
- From Nov 2023 to Oct 2026, 246 archived papers mentioned MIMIC in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2025 (14).
- MIMIC was mentioned in 10 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #26 of the 255 datasets mentioned.
- By journal category: AI (9) and Health Economics and Policy (1).
- Most of them appeared in Artificial Intelligence Review (2), Pattern Recognition (2) and Implementation Science (1).
- From 2017 to 2026 (so far), MIMIC was mentioned in 338 papers in the tracked journals, most of them in AI (277), economics (13) and information systems (13).
- 89 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (8), Brown University (6) and Dalian University of Technology (6).
- The journals publishing most of them were Artificial Intelligence Review (27), Artificial Intelligence in Medicine (25) and Expert Systems with Applications (22).
- The most-cited of them is “Federated learning for medical image analysis: A survey” (Pattern Recognition, 2024), with 522 citations.
- Papers use MIMIC most often with PhysioNet / MIT-BIH (42), ImageNet (32) and Chest X-ray (CheXpert, ChestX-ray14) (29); it has 46 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.
Mentions over 36 months#
| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---|---|---|---|
| 60 | 89 | 97 | 246 |
Papers per year#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 0 | 3 | 3 | 8 | 11 | 14 | 30 | 61 | 82 | 65 |
| Economics | 0 | 1 | 3 | 0 | 1 | 1 | 1 | 1 | 2 | 3 |
| Information Systems | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 4 | 2 | 3 |
| Operations Research | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 5 |
| Statistics | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 2 | 0 | 3 |
| Health Economics and Policy | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 2 |
| Higher Education and Research | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Finance | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| Management | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Marketing | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tourism and Hospitality | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 2 | 7 | 11 | 11 | 14 | 18 | 34 | 70 | 89 | 82 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Artificial Intelligence Review | 27 |
| 2 | Artificial Intelligence in Medicine | 25 |
| 3 | Expert Systems with Applications | 22 |
| 4 | Information Fusion | 18 |
| 5 | Knowledge-Based Systems | 17 |
| 6 | Journal Of Big Data | 17 |
| 7 | Applied Intelligence | 12 |
| 8 | IEEE Transactions on Knowledge and Data Engineering | 12 |
| 9 | Neural Computing and Applications | 11 |
| 10 | Information Processing & Management | 9 |
| # | Institution | Papers |
|---|---|---|
| 1 | Chinese Academy of Sciences | 8 |
| 2 | Brown University | 6 |
| 3 | Dalian University of Technology | 6 |
| 4 | Hong Kong Baptist University | 6 |
| 5 | Hong Kong University of Science and Technology | 6 |
| 6 | National University of Singapore | 6 |
| 7 | Dalian Maritime University | 5 |
| 8 | Imperial College London | 5 |
| 9 | King's College London | 5 |
| 10 | Tsinghua University | 5 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 112 |
| 2 | United States | 51 |
| 3 | United Kingdom | 33 |
| 4 | Hong Kong | 20 |
| 5 | India | 20 |
| 6 | Australia | 17 |
| 7 | Germany | 15 |
| 8 | Egypt | 12 |
| 9 | Canada | 10 |
| 10 | Italy | 10 |
| # | Keyword | Papers |
|---|---|---|
| 1 | MIMIC-III | 78 |
| 2 | electronic health records | 50 |
| 3 | clinical decision support | 40 |
| 4 | MIMIC-IV | 39 |
| 5 | large language models | 30 |
| 6 | interpretability | 24 |
| 7 | drug recommendation | 21 |
| 8 | MIMIC-CXR | 18 |
| 9 | explainable AI | 15 |
| 10 | radiology report generation | 13 |
Most-cited papers#
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 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. |
| 2 | 395 | 11.9 | Vertical Federated Learning: Concepts, Advances, and Challenges | IEEE Transactions on Knowledge and Data Engineering | 2024-01-26 | Yang Liu, Yan Kang, Tianyuan Zou et al. |
| 3 | 247 | 9.7 | Large language models in medical and healthcare fields: applications, advances, and challenges | Artificial Intelligence Review | 2024-09-20 | Dandan Wang, Shiqing Zhang |
| 4 | 209 | 6.7 | Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework | Information Fusion | 2024-04-06 | Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya et al. |
| 5 | 200 | 9.1 | A systematic review for transformer-based long-term series forecasting | Artificial Intelligence Review | 2025-01-05 | Liyilei Su, Xumin Zuo, Rui Li et al. |
Used together with#
| Used with | Type | Papers using both | Lift |
|---|---|---|---|
| PhysioNet / MIT-BIH | Dataset | 42 | 26.7 |
| ImageNet | Dataset | 32 | 1.9 |
| Chest X-ray (CheXpert, ChestX-ray14) | Dataset | 29 | 42.8 |
| Kaggle | Dataset | 21 | 5.2 |
| MNIST / Fashion-MNIST | Dataset | 20 | 2.5 |
| UCI Machine Learning Repository | Dataset | 17 | 3.8 |
| Wikipedia | Dataset | 16 | 2.2 |
| CIFAR-10 / CIFAR-100 | Dataset | 15 | 1.5 |
| Twitter / X | Dataset | 15 | 0.5 |
| Dataset | 12 | 0.6 | |
| Hugging Face Hub | Dataset | 11 | 3.3 |
| MS COCO | Dataset | 10 | 1.5 |
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-30 | Facilitation and incentivization improved speed of contingency management adoption, exposure, and submission | Implementation Science | Sara J. Becker, Tim Janssen, Kira DiClemente-Bosco et al. | Northwestern University; Brown University; The Ohio State University |
| 2026-10-26 | From unimodal to multimodal deep physiological signal analysis in healthcare: A survey of models, fusion and explainability | Knowledge-Based Systems | Thilini Bakmeedeniya, Selvarajah Thuseethan, Roshan Ragel et al. | University of Peradeniya; NSBM Green University; Charles Darwin University |
| 2026-10-23 | Retrieval-augmented generation in biomedicine: a survey of technologies, datasets, and clinical applications | Artificial Intelligence Review | Jiawei He, Boya Zhang, Hossein Rouhizadeh et al. | University of Geneva; Hunan City University; Henan University; … |
| 2026-10-17 | AGraphHF: Adversarial graph-based multimodal learning for heart failure risk prediction | Artificial Intelligence in Medicine | Mamo Tadiyos Hailemichael, Mohammed Hasanuzzaman, Hui Wang et al. | Queen's University Belfast; Munster Technological University; University of Cambridge |
| 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 |
| 2026-10-15 | A Cognitive, Quantum-Inspired Learning Framework for Energy-Efficient and Reliable Routing in Wireless Body Area Networks | Cognitive Computation | Soufiane Ben Othman, Naima Saeed | King Faisal University; University of Aden |
| 2026-10-15 | A data augmentation-based deep reinforcement learning approach for high-risk states avoidance in sepsis treatment | Applied Intelligence | Qiwei Zhang, Bin Lin, Yunlong Liu | Xiamen University |
| 2026-10-10 | CheXPO-v2: Preference optimization for chest X-ray VLMs with knowledge graph consistency | Pattern Recognition | Yuxuan An, Xiao Liang, Di Wang et al. | Xidian University; Capital Medical University |
| 2026-10-09 | R3-Gen: Enhancing medical report generation with reasoning-reinforced fine-tuning | Pattern Recognition | Ting Xiao, Yixing Qiu, Haofeng Yang et al. | East China University of Science and Technology; Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education |
| 2026-10-07 | ASAF-MedRec: Auxiliary-supervised semantic alignment and fusion for medication recommendation | Information Processing & Management | Xuelei Yin, QIN Li, Yao Li et al. | Sichuan University |
Cite this page
Scholar4AI. (2026). MIMIC. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/mimic
@misc{scholar4ai-datasets-mimic,
author = {{Scholar4AI}},
title = {MIMIC},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/mimic}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}