Jean Sallantin
- Molecular Biology
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Information Systems
- Control and Systems Engineering
- Co-authors
- Jacques HaiechJérôme GracyL. ChicheHarald HampelWalter E. KaufmannAhmed ChemoriMohammad AfsharCoralie Williams
- Topics
- Semantic Web and Ontologies (9 papers)Machine Learning in Bioinformatics (5 papers)Logic, Reasoning, and Knowledge (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiochimieSignal Processing
In The Last Decade
Jean Sallantin
35 papers receiving 293 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 99
- Artificial Intelligence 94
- Computational Theory and Mathematics 76
- Information Systems 31
- Control and Systems Engineering 26
Countries citing papers authored by Jean Sallantin
This map shows the geographic impact of Jean Sallantin'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 Jean Sallantin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Sallantin more than expected).
Fields of papers citing papers by Jean Sallantin
This network shows the impact of papers produced by Jean Sallantin. 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 Jean Sallantin. The network helps show where Jean Sallantin may publish in the future.
Co-authorship network of co-authors of Jean Sallantin
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Sallantin. A scholar is included among the top collaborators of Jean Sallantin 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 Jean Sallantin. Jean Sallantin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | The Rational Mirror: Learning how to Explicitly Organize Messy Concepts | 1 |
| 9 | Ontology Domain Modeling Support for Multi-lingual services in E-Commerce : MKBEEM | 6 |
| 10 | Structural Machine Learning with Galois Lattice and Graphs | 43 |
| 11 | 1 | |
| 12 | An Architecture for Modeling and Validation. Application to Mobile Robotics. | 0 |
| 13 | A framework to improve knowledge acquisition based on machine learning | 1 |
| 14 | 3 | |
| 15 | 30 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | Algorithms for learning logical formulas | 7 |
| 20 | 5 |
About Jean Sallantin
Jean Sallantin is a scholar working on Artificial Intelligence, Linguistics and Language and Computational Theory and Mathematics, having authored 39 papers that have together received 314 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Machine Learning in Bioinformatics (5 papers) and Logic, Reasoning, and Knowledge (5 papers). The work is most often cited by research in Computational Theory and Mathematics (76 citations), Artificial Intelligence (94 citations) and Biological Psychiatry (5 citations). Jean Sallantin has collaborated with scholars based in France, Brazil and Australia. Frequent co-authors include Jacques Haiech, Jérôme Gracy, L. Chiche, Harald Hampel, Walter E. Kaufmann, Ahmed Chemori, Mohammad Afshar, Coralie Williams, Magali Benoit and Federico Goodsaid. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochimie and Signal Processing.
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.