Marius Fieschi
- Molecular Biology
- Artificial Intelligence top 5%
- Health Information Management top 0.5%
- Public Health, Environmental and Occupational Health top 10%
- General Health Professions top 10%
- Co-authors
- Michel JoubertJean-Charles DufourPascal StacciniP. Le BeuxPatrice DegouletFrançoise VolotJean‐François QuarantaJoanny Gouvernet
- Topics
- Semantic Web and Ontologies (44 papers)Biomedical Text Mining and Ontologies (41 papers)Electronic Health Records Systems (27 papers)
- Journals
- Journal of the American Medical Informatics AssociationComputers in Biology and MedicineInternational Journal of Medical Informatics
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Marius Fieschi
106 papers receiving 961 citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 376
- Artificial Intelligence 334
- Health Information Management 277
- Public Health, Environmental and Occupational Health 152
- General Health Professions 131
Countries citing papers authored by Marius Fieschi
This map shows the geographic impact of Marius Fieschi'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 Marius Fieschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Fieschi more than expected).
Fields of papers citing papers by Marius Fieschi
This network shows the impact of papers produced by Marius Fieschi. 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 Marius Fieschi. The network helps show where Marius Fieschi may publish in the future.
Co-authorship network of co-authors of Marius Fieschi
This figure shows the co-authorship network connecting the top 25 collaborators of Marius Fieschi. A scholar is included among the top collaborators of Marius Fieschi 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 Marius Fieschi. Marius Fieschi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 63 | |
| 3 | 50 | |
| 4 | 3 | |
| 5 | 37 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | A full XML-based approach to creating hypermedia learning modules in web-based environments: application to a pathology course. | 2 |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 6 | |
| 20 | Medical Decision Aid: Logic Bases of the System SPHINX. | 1 |
About Marius Fieschi
Marius Fieschi is a scholar working on Medical Terminology, Health Information Management and Artificial Intelligence, having authored 115 papers that have together received 1.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (44 papers), Biomedical Text Mining and Ontologies (41 papers) and Electronic Health Records Systems (27 papers). The work is most often cited by research in Health Information Management (277 citations), Medical Terminology (14 citations) and Toxicology (75 citations). Marius Fieschi has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Michel Joubert, Jean-Charles Dufour, Pascal Staccini, P. Le Beux, Patrice Degoulet, Françoise Volot, Jean‐François Quaranta, Joanny Gouvernet, Omar Bouhaddou and G. Botti. Their work appears in journals such as Journal of the American Medical Informatics Association, Computers in Biology and Medicine and International Journal of Medical Informatics.
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.