Hervé Déjean
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Language and Linguistics top 10%
- Co-authors
- Éric GaussierJean-Luc MeunierCyril GoutteIrina MatveevaFlorian KleberYu FangLiangcai GaoFatiha Sadat
- Topics
- Natural Language Processing Techniques (19 papers)Topic Modeling (17 papers)Handwritten Text Recognition Techniques (10 papers)
- Journals
- Journal of Machine Learning ResearchArtificial Intelligence in MedicineLanguage Resources and Evaluation
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Hervé Déjean
39 papers receiving 406 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 368
- Computer Vision and Pattern Recognition 125
- Information Systems 54
- Molecular Biology 50
- Language and Linguistics 23
Countries citing papers authored by Hervé Déjean
This map shows the geographic impact of Hervé Déjean'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 Hervé Déjean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hervé Déjean more than expected).
Fields of papers citing papers by Hervé Déjean
This network shows the impact of papers produced by Hervé Déjean. 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 Hervé Déjean. The network helps show where Hervé Déjean may publish in the future.
Co-authorship network of co-authors of Hervé Déjean
This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Déjean. A scholar is included among the top collaborators of Hervé Déjean 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 Hervé Déjean. Hervé Déjean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 67 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | Learning rules and their exceptions | 10 |
| 13 | 46 | |
| 14 | 11 | |
| 15 | 58 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | How To Evaluate and Compare Tagsets? A Proposal | 5 |
| 19 | 5 | |
| 20 | New electrical method of identification of polymer ageing kinetics | 2 |
About Hervé Déjean
Hervé Déjean is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics, having authored 40 papers that have together received 486 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (17 papers) and Handwritten Text Recognition Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (368 citations), Computer Vision and Pattern Recognition (125 citations) and Information Systems (54 citations). Hervé Déjean has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Éric Gaussier, Jean-Luc Meunier, Cyril Goutte, Irina Matveeva, Florian Kleber, Yu Fang, Liangcai Gao, Fatiha Sadat, Yuval Krymolowski and Vasin Punyakanok. Their work appears in journals such as Journal of Machine Learning Research, Artificial Intelligence in Medicine and Language Resources and Evaluation.
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.