Michaela Hardt
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
Papers in
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- Privacy-Preserving Technologies in Data 2
- Machine Learning in Healthcare 2
- Explainable Artificial Intelligence (XAI) 2
- Bayesian Modeling and Causal Inference 1
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- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Alvin Rajkomar (2 shared papers)Greg S. Corrado (2 shared papers)Marshall H. Chin (1 shared paper)Suman Nath (1 shared paper)Paul Francis (1 shared paper)Johannes E. Gehrke (1 shared paper)İstemi Ekin Akkuş (1 shared paper)Ruichuan Chen (1 shared paper)
- Journals
- Annals of Internal Medicine (1 paper)British Journal of Anaesthesia (1 paper)arXiv (Cornell University) (2 papers)European Heart Journal - Digital Health (1 paper)Proceedings of the ACM Conference on Computer and Communications Security (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Michaela Hardt
7 papers receiving 2.6k citations
Michaela Hardt's Hit Papers
Peers
Comparison fields: 5 of 141
- Health Informatics 741
- Health Information Management 466
- Artificial Intelligence 1.1k
- Safety Research 258
- Emergency Medicine 37
Countries citing papers authored by Michaela Hardt
This map shows the geographic impact of Michaela Hardt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michaela Hardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Hardt more than expected).
Fields of papers citing papers by Michaela Hardt
This network shows the impact of papers produced by Michaela Hardt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michaela Hardt. The network helps show where Michaela Hardt may publish in the future.
Co-authors
The 15 scholars most cited alongside Michaela Hardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Scalable and accurate deep learning with electronic health records. Hit paper breakdown → | 2018 | 1791 |
| 2 | Ensuring Fairness in Machine Learning to Advance Health Equity Hit paper breakdown → | 2018 | 790 |
| 3 | 2012 | 64 | |
| 4 | 2012 | 38 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 4 | |
| 7 | 2025 | 2 | |
| 8 | 2025 | 0 | |
| 9 | 2026 | 0 |
About Michaela Hardt
Michaela Hardt is a scholar working on Artificial Intelligence, Health Informatics, Health Information Management, Safety Research and Sociology and Political Science, having authored 9 papers that have together received 2.7k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (2 papers), Privacy, Security, and Data Protection (2 papers), Machine Learning in Healthcare (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Mobile and Web Applications (1 paper), Ethics and Social Impacts of AI (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Health Informatics (741 citations), Health Information Management (466 citations), Artificial Intelligence (1.1k citations), Safety Research (258 citations) and Emergency Medicine (37 citations). Michaela Hardt has collaborated with scholars based in United States and Germany. Frequent co-authors include Alvin Rajkomar, Greg S. Corrado, Marshall H. Chin, Suman Nath, Paul Francis, Johannes E. Gehrke, İstemi Ekin Akkuş, Ruichuan Chen, Moritz Hardt and Andrew M. Dai. Their work appears in journals such as Annals of Internal Medicine, British Journal of Anaesthesia, arXiv (Cornell University), European Heart Journal - Digital Health and Proceedings of the ACM Conference on Computer and Communications Security.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.