Mathieu Constant
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Language and Linguistics top 10%
- Lexicography and Language Studies
Papers in ⓘ
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- Natural Language Processing Techniques 5
- Topic Modeling 5
- Text Readability and Simplification 3
- Speech and dialogue systems 1
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- Software Engineering Research 1
- Co-authors
- Amalia Todiraşcu (1 shared paper)Gülşen Eryiğit (1 shared paper)Carlos Ramisch (2 shared papers)Johanna Monti (1 shared paper)Lonneke van der Plas (1 shared paper)Michael Rosner (1 shared paper)Joakim Nivre (1 shared paper)Jonathan Brennan (1 shared paper)
- Journals
- Computational Linguistics (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Language Cognition and Neuroscience (1 paper)SHILAP Revista de lepidopterología (1 paper)KTH Publication Database DiVA (KTH Royal Institute of Technology) (1 paper)
- Partner nations
- FranceFinlandUnited States
In The Last Decade
Mathieu Constant
6 papers receiving 152 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 122
- Language and Linguistics 21
- Cognitive Neuroscience 38
- Developmental and Educational Psychology 24
- Experimental and Cognitive Psychology 11
Countries citing papers authored by Mathieu Constant
This map shows the geographic impact of Mathieu Constant'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 Mathieu Constant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Constant more than expected).
Fields of papers citing papers by Mathieu Constant
This network shows the impact of papers produced by Mathieu Constant. 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 Mathieu Constant. The network helps show where Mathieu Constant may publish in the future.
Co-authors
The 19 scholars most cited alongside Mathieu Constant, 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 | 2017 | 92 | |
| 2 | 2018 | 37 | |
| 3 | 2016 | 17 | |
| 4 | 2022 | 10 | |
| 5 | 2016 | 5 | |
| 6 | 2021 | 1 |
About Mathieu Constant
Mathieu Constant is a scholar working on Artificial Intelligence, Information Systems, Cognitive Neuroscience, Developmental and Educational Psychology and Infectious Diseases, having authored 6 papers that have together received 162 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Text Readability and Simplification (3 papers), Language Development and Disorders (1 paper), Neurobiology of Language and Bilingualism (1 paper), Software Engineering Research (1 paper), Reading and Literacy Development (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (122 citations), Language and Linguistics (21 citations), Cognitive Neuroscience (38 citations), Developmental and Educational Psychology (24 citations) and Experimental and Cognitive Psychology (11 citations). Mathieu Constant has collaborated with scholars based in France, Finland and United States. Frequent co-authors include Amalia Todiraşcu, Gülşen Eryiğit, Carlos Ramisch, Johanna Monti, Lonneke van der Plas, Michael Rosner, Joakim Nivre, Jonathan Brennan, R. Nathan Spreng and John Hale. Their work appears in journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics, Language Cognition and Neuroscience, SHILAP Revista de lepidopterología and KTH Publication Database DiVA (KTH Royal Institute of Technology).
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.