René Eber
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare and Education 2
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- Healthcare cost, quality, practices 1
- Health and Medical Studies 1
- Co-authors
- Leo Anthony Celi (4 shared papers)Lama Moukheiber (1 shared paper)Joel C. Park (1 shared paper)William Mitchell (1 shared paper)Franck Dernoncourt (1 shared paper)Julian Schirmer (1 shared paper)Edward Christopher Dee (1 shared paper)Marie‐Laure Charpignon (2 shared papers)
- Journals
- Journal of the Association for Information Systems (1 paper)PLoS ONE (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)PLOS Digital Health (3 papers)Proceedings of the ... Annual Hawaii International Conference on System Sciences (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
René Eber
4 papers receiving 335 citations
René Eber's Hit Papers
Peers
Comparison fields: 5 of 80
- Health Informatics 174
- Health Information Management 26
- Family Practice 5
- Safety Research 23
- Radiology, Nuclear Medicine and Imaging 57
Countries citing papers authored by René Eber
This map shows the geographic impact of René Eber'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 René Eber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Eber more than expected).
Fields of papers citing papers by René Eber
This network shows the impact of papers produced by René Eber. 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 René Eber. The network helps show where René Eber may publish in the future.
Co-authors
The 25 scholars most cited alongside René Eber, 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 | Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review Hit paper breakdown → | 2022 | 328 |
| 2 | 2021 | 13 | |
| 3 | 2024 | 3 | |
| 4 | 2021 | 1 | |
| 5 | Holistic personalized medicine in pediatric practice | 2020 | 1 |
| 6 | 2021 | 0 | |
| 7 | 2024 | 0 |
About René Eber
René Eber is a scholar working on Health Informatics, General Health Professions, Emergency Medical Services, Economics and Econometrics and Strategy and Management, having authored 7 papers that have together received 346 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare cost, quality, practices (1 paper), Ethics in Clinical Research (1 paper), Business Strategies and Innovation (1 paper), Digitalization and Economic Development in Agriculture (1 paper), Health and Medical Studies (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (174 citations), Health Information Management (26 citations), Family Practice (5 citations), Safety Research (23 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). René Eber has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Leo Anthony Celi, Lama Moukheiber, Joel C. Park, William Mitchell, Franck Dernoncourt, Julian Schirmer, Edward Christopher Dee, Marie‐Laure Charpignon, Jacqueline Cellini and Joseph Alexander Paguio. Their work appears in journals such as Journal of the Association for Information Systems, PLoS ONE, HAL (Le Centre pour la Communication Scientifique Directe), PLOS Digital Health and Proceedings of the ... Annual Hawaii International Conference on System Sciences.
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.