Sylvie Ranwez
- Molecular Biology
- Artificial Intelligence top 5%
- Information Systems top 10%
- Genetics
- Computer Vision and Pattern Recognition
- Co-authors
- Sébastien HarispeJacky MontmainStefan JanaqiVincent RanwezDavid SánchezEmmanuel DouzeryKhalid BelkhirMarie‐Ka Tilak
- Topics
- Semantic Web and Ontologies (10 papers)Biomedical Text Mining and Ontologies (6 papers)Topic Modeling (5 papers)
In The Last Decade
Sylvie Ranwez
20 papers receiving 426 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 223
- Artificial Intelligence 212
- Information Systems 83
- Genetics 63
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Sylvie Ranwez
This map shows the geographic impact of Sylvie Ranwez'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 Sylvie Ranwez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvie Ranwez more than expected).
Fields of papers citing papers by Sylvie Ranwez
This network shows the impact of papers produced by Sylvie Ranwez. 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 Sylvie Ranwez. The network helps show where Sylvie Ranwez may publish in the future.
Co-authorship network of co-authors of Sylvie Ranwez
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvie Ranwez. A scholar is included among the top collaborators of Sylvie Ranwez 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 Sylvie Ranwez. Sylvie Ranwez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 54 | |
| 9 | 24 | |
| 10 | 82 | |
| 11 | 28 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 2 | |
| 15 | Using Concept Lattices for Visual Navigation Assistance in Large Databases: Application to a Pantent Database. | 2 |
| 16 | 99 | |
| 17 | 2 | |
| 18 | 19 | |
| 19 | Qualités d'une indexation portée par XML et une ontologie au regard d'un standard | 0 |
| 20 | Sylvie Chabert-Ranwez, Composition automatique de documents hypermédias adaptatifs à partir d’ontologies de requêtes intentionnelles de l’utilisateur, Thèse en informatique de l’université de Montpellier II, 21 décembre 2000 | 5 |
About Sylvie Ranwez
Sylvie Ranwez is a scholar working on Artificial Intelligence, Computer Science Applications and Signal Processing, having authored 21 papers that have together received 450 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Biomedical Text Mining and Ontologies (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (212 citations), Paleontology (35 citations) and Information Systems (83 citations). Sylvie Ranwez has collaborated with scholars based in France, Australia and Spain. Frequent co-authors include Sébastien Harispe, Jacky Montmain, Stefan Janaqi, Vincent Ranwez, David Sánchez, Emmanuel Douzery, Khalid Belkhir, Marie‐Ka Tilak, Frédéric Delsuc and Michel Crampes. Their work appears in journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.
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.