Caroline Ruetsch-Chelli
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
- Antifungal resistance and susceptibility 1
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- Myasthenia Gravis and Thymoma 2
- Long-Term Effects of COVID-19 1
- Co-authors
- Marcel Deckert (2 shared papers)Mikaël Chelli (1 shared paper)Jean-Luc Raynier (1 shared paper)Gilles Clowez (1 shared paper)Michel Azar (1 shared paper)Christophe Trojani (1 shared paper)Jules Descamps (1 shared paper)Pascal Boileau (1 shared paper)
- Journals
- Journal of Medical Internet Research (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Neurotherapeutics (1 paper)Frontiers in Immunology (1 paper)Lara D. Veeken (1 paper)
- Partner nations
- FranceSwedenUnited States
In The Last Decade
Caroline Ruetsch-Chelli
6 papers receiving 211 citations
Caroline Ruetsch-Chelli's Hit Papers
Peers
Comparison fields: 5 of 74
- Health Informatics 53
- Family Practice 7
- Neurology 22
- General Dentistry 2
- Statistics, Probability and Uncertainty 8
Countries citing papers authored by Caroline Ruetsch-Chelli
This map shows the geographic impact of Caroline Ruetsch-Chelli'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 Caroline Ruetsch-Chelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Ruetsch-Chelli more than expected).
Fields of papers citing papers by Caroline Ruetsch-Chelli
This network shows the impact of papers produced by Caroline Ruetsch-Chelli. 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 Caroline Ruetsch-Chelli. The network helps show where Caroline Ruetsch-Chelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Ruetsch-Chelli, 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 | Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis Hit paper breakdown → | 2024 | 139 |
| 2 | 2022 | 21 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 18 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 2 | |
| 7 | 2025 | 0 | |
| 8 | 2022 | 0 |
About Caroline Ruetsch-Chelli
Caroline Ruetsch-Chelli is a scholar working on Infectious Diseases, Neurology, Molecular Biology, Oncology and Health Informatics, having authored 8 papers that have together received 216 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Myasthenia Gravis and Thymoma (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Long-Term Effects of COVID-19 (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Influenza Virus Research Studies (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Health Informatics (53 citations), Family Practice (7 citations), Neurology (22 citations), General Dentistry (2 citations) and Statistics, Probability and Uncertainty (8 citations). Caroline Ruetsch-Chelli has collaborated with scholars based in France, Sweden and United States. Frequent co-authors include Marcel Deckert, Mikaël Chelli, Jean-Luc Raynier, Gilles Clowez, Michel Azar, Christophe Trojani, Jules Descamps, Pascal Boileau, Barbara Seitz‐Polski and Vesna Brglez. Their work appears in journals such as Journal of Medical Internet Research, Journal for ImmunoTherapy of Cancer, Neurotherapeutics, Frontiers in Immunology and Lara D. Veeken.
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.