Emmanuel Morin
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems
- Language and Linguistics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Christian JacqueminBéatrice DailleChristian Viard-GaudinAntoine LaurentYannick EstèvePierre‐Antoine GourraudSahar GhannayNathalie Camelin
- Topics
- Natural Language Processing Techniques (29 papers)Topic Modeling (20 papers)Speech and dialogue systems (10 papers)
- Partner nations
- FranceJapanSwitzerland
In The Last Decade
Emmanuel Morin
35 papers receiving 208 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 226
- Molecular Biology 36
- Information Systems 27
- Language and Linguistics 23
- Computer Vision and Pattern Recognition 14
Countries citing papers authored by Emmanuel Morin
This map shows the geographic impact of Emmanuel Morin'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 Emmanuel Morin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Morin more than expected).
Fields of papers citing papers by Emmanuel Morin
This network shows the impact of papers produced by Emmanuel Morin. 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 Emmanuel Morin. The network helps show where Emmanuel Morin may publish in the future.
Co-authorship network of co-authors of Emmanuel Morin
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Morin. A scholar is included among the top collaborators of Emmanuel Morin 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 Emmanuel Morin. Emmanuel Morin 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 | 0 | |
| 3 | DrBERT: Un modèle robuste pré-entraîné en français pour les domaines biomédical et clinique | 1 |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | A Comparison of Smoothing Techniques for Bilingual Lexicon Extraction from Comparable Corpora | 4 |
| 11 | Ranking Translation Candidates Acquired from Comparable Corpora | 2 |
| 12 | 3 | |
| 13 | Compilation of Specialized Comparable Corpora in French and Japanese. | 3 |
| 14 | Anchor points for bilingual extraction from small specialized comparable corpora. | 1 |
| 15 | 4 | |
| 16 | 9 | |
| 17 | French-English Multi-word Term Alignment Based on Lexical Context Analysis | 2 |
| 18 | 37 | |
| 19 | Incremental Recognition and Referential Categorization of French Proper Names | 0 |
| 20 | Extracting Semantic Relationships between Terms: Supervised vs. Unsupervised Methods | 24 |
About Emmanuel Morin
Emmanuel Morin is a scholar working on Artificial Intelligence, Anatomy and Language and Linguistics, having authored 40 papers that have together received 251 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (29 papers), Topic Modeling (20 papers) and Speech and dialogue systems (10 papers). The work is most often cited by research in Artificial Intelligence (226 citations), Health Informatics (5 citations) and Language and Linguistics (23 citations). Emmanuel Morin has collaborated with scholars based in France, Japan and Switzerland. Frequent co-authors include Christian Jacquemin, Béatrice Daille, Christian Viard-Gaudin, Antoine Laurent, Yannick Estève, Pierre‐Antoine Gourraud, Sahar Ghannay, Nathalie Camelin, Koichi Takeuchi and Kyo Kageura. Their work appears in journals such as Scientific Reports, Computers in Biology and 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.