Éric Gaussier
Impact in
- Computational Mathematics top 5%
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Speech and dialogue systems
Papers in
-
- Natural Language Processing Techniques 31
- Topic Modeling 29
- Text and Document Classification Technologies 11
- Advanced Text Analysis Techniques 8
- Semantic Web and Ontologies 7
- Co-authors
- Cyril Goutte (13 shared papers)Dan Jurafsky (1 shared paper)Thibaut Thonet (1 shared paper)Jean-Marc Langé (2 shared papers)Béatrice Daille (2 shared papers)Nicola Cancedda (7 shared papers)Hervé Déjean (5 shared papers)Théo Trouillon (1 shared paper)
- Journals
- Information Processing & Management (2 papers)Natural Language Engineering (2 papers)World Patent Information (1 paper)ACM Transactions on Information Systems (1 paper)Bioinformatics (1 paper)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Éric Gaussier
66 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Computational Mathematics 26
- Artificial Intelligence 1.3k
- Signal Processing 142
- Computer Vision and Pattern Recognition 266
- Information Systems 251
Countries citing papers authored by Éric Gaussier
This map shows the geographic impact of Éric Gaussier'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 Éric Gaussier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Gaussier more than expected).
Fields of papers citing papers by Éric Gaussier
This network shows the impact of papers produced by Éric Gaussier. 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 Éric Gaussier. The network helps show where Éric Gaussier may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Gaussier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 176 | |
| 2 | Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing | 2006 | 170 |
| 3 | 2018 | 149 | |
| 4 | 2017 | 131 | |
| 5 | 1994 | 117 | |
| 6 | 2003 | 111 | |
| 7 | 2018 | 77 | |
| 8 | 2004 | 65 | |
| 9 | 2005 | 53 | |
| 10 | Unsupervised learning of derivational morphology from inflectional lexicons | 1999 | 51 |
| 11 | 2022 | 51 | |
| 12 | 2002 | 46 | |
| 13 | BioASQ: A Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering. | 2012 | 43 |
| 14 | 2016 | 40 | |
| 15 | 1998 | 31 | |
| 16 | 2021 | 26 | |
| 17 | 2018 | 26 | |
| 18 | 2003 | 25 | |
| 19 | 2001 | 24 | |
| 20 | 1998 | 20 |
About Éric Gaussier
Éric Gaussier is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (29 papers), Text and Document Classification Technologies (11 papers), Advanced Text Analysis Techniques (8 papers), Biomedical Text Mining and Ontologies (8 papers), Semantic Web and Ontologies (7 papers), Rough Sets and Fuzzy Logic (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computational Mathematics (26 citations), Artificial Intelligence (1.3k citations), Signal Processing (142 citations), Computer Vision and Pattern Recognition (266 citations) and Information Systems (251 citations). Éric Gaussier has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Cyril Goutte, Dan Jurafsky, Thibaut Thonet, Jean-Marc Langé, Béatrice Daille, Nicola Cancedda, Hervé Déjean, Théo Trouillon, Guillaume Bouchard and Sebastian Riedel. Their work appears in journals such as Information Processing & Management, Natural Language Engineering, World Patent Information, ACM Transactions on Information Systems and Bioinformatics.
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.