Mathieu Constant
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
- Language and Linguistics top 10%
- Lexicography and Language Studies
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Text Readability and Simplification 5
- Speech and dialogue systems 1
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- Software Engineering Research 1
- Co-authors
- Johanna Monti (1 shared paper)Gülşen Eryiğit (1 shared paper)Michael Rosner (1 shared paper)Lonneke van der Plas (1 shared paper)Carlos Ramisch (2 shared papers)Amalia Todiraşcu (1 shared paper)Joakim Nivre (1 shared paper)Jonathan Brennan (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Dictionaries (1 paper)Computational Linguistics (1 paper)Language Cognition and Neuroscience (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (1 paper)
- Partner nations
- FranceNetherlandsTürkiye
In The Last Decade
Mathieu Constant
7 papers receiving 179 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 149
- Language and Linguistics 27
- Cognitive Neuroscience 38
- Developmental and Educational Psychology 24
- Experimental and Cognitive Psychology 12
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 21 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 | 114 | |
| 2 | 2018 | 38 | |
| 3 | 2016 | 20 | |
| 4 | 2022 | 13 | |
| 5 | 2016 | 5 | |
| 6 | Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework | 2016 | 3 |
| 7 | 2021 | 1 | |
| 8 | 2021 | 0 | |
| 9 | 2020 | 0 |
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 9 papers that have together received 194 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Text Readability and Simplification (5 papers), Language Development and Disorders (1 paper), Software Engineering Research (1 paper), Reading and Literacy Development (1 paper), Neurobiology of Language and Bilingualism (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (149 citations), Language and Linguistics (27 citations), Cognitive Neuroscience (38 citations), Developmental and Educational Psychology (24 citations) and Experimental and Cognitive Psychology (12 citations). Mathieu Constant has collaborated with scholars based in France, Netherlands and Türkiye. Frequent co-authors include Johanna Monti, Gülşen Eryiğit, Michael Rosner, Lonneke van der Plas, Carlos Ramisch, Amalia Todiraşcu, Joakim Nivre, Jonathan Brennan, Christophe Pallier and Wen‐Ming Luh. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Dictionaries, Computational Linguistics, Language Cognition and Neuroscience and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).
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.