Rosy Tsopra
- Health Information Management top 2%
- General Health Professions
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Applied Microbiology and Biotechnology top 5%
- Co-authors
- Jean-Baptiste LamyKarima SedkiAlain VenotCatherine DuclosJean-Philippe Jaı̈sAnita BurgunF. MéchaïNicolas Garcelon
- Topics
- Electronic Health Records Systems (13 papers)Biomedical Text Mining and Ontologies (12 papers)Healthcare Systems and Technology (8 papers)
- Journals
- Journal of Medical Internet ResearchJournal of the American Medical Informatics AssociationIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- FranceUnited KingdomNetherlands
In The Last Decade
Rosy Tsopra
38 papers receiving 396 citations
Peers
Comparison fields: 5 of 99
- Health Information Management 92
- General Health Professions 83
- Artificial Intelligence 71
- Public Health, Environmental and Occupational Health 61
- Applied Microbiology and Biotechnology 49
Countries citing papers authored by Rosy Tsopra
This map shows the geographic impact of Rosy Tsopra'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 Rosy Tsopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosy Tsopra more than expected).
Fields of papers citing papers by Rosy Tsopra
This network shows the impact of papers produced by Rosy Tsopra. 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 Rosy Tsopra. The network helps show where Rosy Tsopra may publish in the future.
Co-authorship network of co-authors of Rosy Tsopra
This figure shows the co-authorship network connecting the top 25 collaborators of Rosy Tsopra. A scholar is included among the top collaborators of Rosy Tsopra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rosy Tsopra. Rosy Tsopra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 19 | |
| 10 | ABiMed: Towards an innovative clinical decision support system for medication reviews and polypharmacy management | 1 |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 52 | |
| 16 | 0 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 17 | |
| 20 | 19 |
About Rosy Tsopra
Rosy Tsopra is a scholar working on Medical Terminology, Health Information Management and Applied Microbiology and Biotechnology, having authored 42 papers that have together received 401 indexed citations. Recurring topics across this work include Electronic Health Records Systems (13 papers), Biomedical Text Mining and Ontologies (12 papers) and Healthcare Systems and Technology (8 papers). The work is most often cited by research in Health Informatics (36 citations), Applied Microbiology and Biotechnology (49 citations) and Health Information Management (92 citations). Rosy Tsopra has collaborated with scholars based in France, United Kingdom and Netherlands. Frequent co-authors include Jean-Baptiste Lamy, Karima Sedki, Alain Venot, Catherine Duclos, Jean-Philippe Jaı̈s, Anita Burgun, F. Méchaï, Nicolas Garcelon, Bastien Rance and Ivan Lerner. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and IEEE Transactions on Visualization and Computer Graphics.
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.