Yann Mathet
Impact in
- Language and Linguistics top 10%
- linguistics and terminology studies
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- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
Papers in
-
- Natural Language Processing Techniques 4
- Semantic Web and Ontologies 1
-
- linguistics and terminology studies 4
- Syntax, Semantics, Linguistic Variation 1
- Co-authors
- Klaus Krippendorff (1 shared paper)Laurent Gosselin (1 shared paper)Bernard Victorri (1 shared paper)
- Journals
- Computational Linguistics (2 papers)Quality & Quantity (1 paper)Revue française de linguistique appliquée (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Yann Mathet
8 papers receiving 107 citations
Peers
Comparison fields: 5 of 40
- Language and Linguistics 25
- Artificial Intelligence 71
- Philosophy 21
- Health Informatics 2
- Statistics, Probability and Uncertainty 9
Countries citing papers authored by Yann Mathet
This map shows the geographic impact of Yann Mathet'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 Yann Mathet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yann Mathet more than expected).
Fields of papers citing papers by Yann Mathet
This network shows the impact of papers produced by Yann Mathet. 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 Yann Mathet. The network helps show where Yann Mathet may publish in the future.
Co-authors
The 3 scholars most cited alongside Yann Mathet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 36 | |
| 2 | 2015 | 34 | |
| 3 | La plate-forme Glozz : environnement d’annotation et d’exploration de corpus | 2009 | 20 |
| 4 | 2012 | 13 | |
| 5 | 2017 | 6 | |
| 6 | 2013 | 3 | |
| 7 | 2019 | 1 | |
| 8 | 2002 | 1 |
About Yann Mathet
Yann Mathet is a scholar working on Artificial Intelligence, Language and Linguistics, Management Science and Operations Research, Philosophy and Statistics, Probability and Uncertainty, having authored 8 papers that have together received 114 indexed citations. Recurring topics across this work include linguistics and terminology studies (4 papers), Natural Language Processing Techniques (4 papers), Multi-Criteria Decision Making (2 papers), Linguistics and Discourse Analysis (2 papers), Reliability and Agreement in Measurement (2 papers), Syntax, Semantics, Linguistic Variation (1 paper), Rough Sets and Fuzzy Logic (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Language and Linguistics (25 citations), Artificial Intelligence (71 citations), Philosophy (21 citations), Health Informatics (2 citations) and Statistics, Probability and Uncertainty (9 citations). Yann Mathet has collaborated with scholars based in France and United States. Frequent co-authors include Klaus Krippendorff, Laurent Gosselin and Bernard Victorri. Their work appears in journals such as Computational Linguistics, Quality & Quantity, Revue française de linguistique appliquée and HAL (Le Centre pour la Communication Scientifique Directe).
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.