Nicolas Griffon
- Molecular Biology
- Artificial Intelligence top 10%
- Health Information Management top 2%
- General Health Professions
- Management Science and Operations Research top 10%
- Co-authors
- Stéfan DarmoniBenoı̂t ThirionBrigitte SéroussiJacques BouaudJean-François GehannoLina F. SoualmiaJulien GrosjeanMatthieu Schuers
- Topics
- Biomedical Text Mining and Ontologies (24 papers)Semantic Web and Ontologies (11 papers)Electronic Health Records Systems (8 papers)
- Journals
- Journal of Medical Internet ResearchJournal of the American Medical Informatics AssociationComputer Methods and Programs in Biomedicine
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Nicolas Griffon
39 papers receiving 300 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 129
- Artificial Intelligence 107
- Health Information Management 84
- General Health Professions 61
- Management Science and Operations Research 43
Countries citing papers authored by Nicolas Griffon
This map shows the geographic impact of Nicolas Griffon'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 Nicolas Griffon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Griffon more than expected).
Fields of papers citing papers by Nicolas Griffon
This network shows the impact of papers produced by Nicolas Griffon. 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 Nicolas Griffon. The network helps show where Nicolas Griffon may publish in the future.
Co-authorship network of co-authors of Nicolas Griffon
This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Griffon. A scholar is included among the top collaborators of Nicolas Griffon 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 Nicolas Griffon. Nicolas Griffon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | A Semantic Interoperability Framework for Facilitating Cross-Hospital Exchanges. | 1 |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 52 | |
| 16 | 3 | |
| 17 | 28 | |
| 18 | 32 | |
| 19 | 9 | |
| 20 | An interface terminology for medical imaging ordering purposes. | 2 |
About Nicolas Griffon
Nicolas Griffon is a scholar working on Medical Terminology, Health Information Management and Family Practice, having authored 43 papers that have together received 307 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (24 papers), Semantic Web and Ontologies (11 papers) and Electronic Health Records Systems (8 papers). The work is most often cited by research in Health Information Management (84 citations), Health Informatics (10 citations) and Issues, ethics and legal aspects (6 citations). Nicolas Griffon has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Stéfan Darmoni, Benoı̂t Thirion, Brigitte Séroussi, Jacques Bouaud, Jean-François Gehanno, Lina F. Soualmia, Julien Grosjean, Matthieu Schuers, Christel Daniel and Lætitia Rollin. Their work appears in journals such as Journal of Medical Internet Research, Journal of the American Medical Informatics Association and Computer Methods and Programs in Biomedicine.
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.