François Rechenmann
- Co-authors
- Guy PerrièreBernard JacqLaurent DuretManolo GouyJean-François DufayardSimon PenelLaurence RöderC. Lachaize
- Topics
- Genomics and Phylogenetic Studies (8 papers)Biomedical Text Mining and Ontologies (6 papers)Semantic Web and Ontologies (5 papers)
- Partner nations
- FranceRussiaNetherlands
In The Last Decade
François Rechenmann
20 papers receiving 520 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 454
- Artificial Intelligence 181
- Genetics 72
- Plant Science 49
- Information Systems 29
Countries citing papers authored by François Rechenmann
This map shows the geographic impact of François Rechenmann'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 François Rechenmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Rechenmann more than expected).
Fields of papers citing papers by François Rechenmann
This network shows the impact of papers produced by François Rechenmann. 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 François Rechenmann. The network helps show where François Rechenmann may publish in the future.
Co-authorship network of co-authors of François Rechenmann
This figure shows the co-authorship network connecting the top 25 collaborators of François Rechenmann. A scholar is included among the top collaborators of François Rechenmann 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 François Rechenmann. François Rechenmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 21 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | 127 | |
| 7 | 1 | |
| 8 | Integration of data and methods for genome analysis. | 13 |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | A pragmatic information extraction strategy for gathering data on genetic interactions. | 47 |
| 13 | An ontology enrichment method for a pragmatic information extraction system gathering data on genetic interactions | 21 |
| 14 | 32 | |
| 15 | 97 | |
| 16 | Detecting Gene Symbols and Names in Biological Texts: A First Step toward Pertinent Information Extraction. | 111 |
| 17 | Building large knowledge bases in molecular biology. | 2 |
| 18 | Object-oriented knowledge bases for the analysis of prokaryotic and eukaryotic genomes. | 7 |
| 19 | Multiple perspectives and classification mechanism in object-oriented representation | 25 |
| 20 | 1 |
About François Rechenmann
François Rechenmann is a scholar working on Endocrinology, Artificial Intelligence and Information Systems and Management, having authored 21 papers that have together received 556 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Biomedical Text Mining and Ontologies (6 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Molecular Biology (454 citations), Artificial Intelligence (181 citations) and Genetics (72 citations). François Rechenmann has collaborated with scholars based in France, Russia and Netherlands. Frequent co-authors include Guy Perrière, Bernard Jacq, Laurent Duret, Manolo Gouy, Jean-François Dufayard, Simon Penel, Laurence Röder, C. Lachaize, Catherine Sánchez and Jérôme Euzenat. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Frontiers in Microbiology.
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.