Didier Schwab

969 total citations
49 papers, 221 citations indexed

About

Didier Schwab is a scholar working on Artificial Intelligence, Language and Linguistics and Signal Processing. According to data from OpenAlex, Didier Schwab has authored 49 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 5 papers in Language and Linguistics and 4 papers in Signal Processing. Recurrent topics in Didier Schwab's work include Natural Language Processing Techniques (31 papers), Topic Modeling (25 papers) and Speech and dialogue systems (8 papers). Didier Schwab is often cited by papers focused on Natural Language Processing Techniques (31 papers), Topic Modeling (25 papers) and Speech and dialogue systems (8 papers). Didier Schwab collaborates with scholars based in France, Algeria and Italy. Didier Schwab's co-authors include El Moatez Billah Nagoudi, Mathieu Lafourcade, Laurent Besacier, Hang Le, Jiatao Gu, Violaine Prince, Juan Pino, Changhan Wang, Michael Zock and Olivier Ferret and has published in prestigious journals such as Biomedical Signal Processing and Control, Lecture notes in computer science and The Journal of Deaf Studies and Deaf Education.

In The Last Decade

Didier Schwab

37 papers receiving 202 citations

Peers

Didier Schwab
Blake Stephen Howald United States
Tong Niu United States
Younes Samih Germany
Zheng Yong United States
Didier Schwab
Citations per year, relative to Didier Schwab Didier Schwab (= 1×) peers Ilia Markov

Countries citing papers authored by Didier Schwab

Since Specialization
Citations

This map shows the geographic impact of Didier Schwab'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 Didier Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Schwab more than expected).

Fields of papers citing papers by Didier Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Didier Schwab. 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 Didier Schwab. The network helps show where Didier Schwab may publish in the future.

Co-authorship network of co-authors of Didier Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Schwab. A scholar is included among the top collaborators of Didier Schwab 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 Didier Schwab. Didier Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Schwab, Didier, et al.. (2024). MedDialog-FR: a French Version of the MedDialog Corpus for Multi-label Classification and Response Generation related to Women's Intimate Health. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
3.
Coavoux, Maximin, et al.. (2024). Limitations of Human Identification of Automatically Generated Text. SPIRE - Sciences Po Institutional REpository. 10511–10516. 1 indexed citations
4.
Schwab, Didier, et al.. (2024). Simplification Strategies in French Spontaneous Speech. Archive ouverte UNIGE (University of Geneva). 1 indexed citations
5.
Schwab, Didier, et al.. (2024). Turning Low-Code Development Platforms into True No-Code with LLMs. SPIRE - Sciences Po Institutional REpository. 876–885. 4 indexed citations
6.
Jarray, Fethi, et al.. (2024). A BERT-GRU Model for Measuring the Similarity of Arabic Text. JUCS - Journal of Universal Computer Science. 30(6). 779–790.
7.
Sérasset, Gilles, et al.. (2024). POPCORN: Fictional and Synthetic Intelligence Reports for Named Entity Recognition and Relation Extraction Tasks. Procedia Computer Science. 246. 1170–1180.
8.
Sérasset, Gilles, et al.. (2024). KGAST: From Knowledge Graphs to Annotated Synthetic Texts. 43–55.
9.
Goeuriot, Lorraine, Philippe Mulhem, Didier Schwab, et al.. (2024). Experimental IR Meets Multilinguality, Multimodality, and Interaction. Lecture notes in computer science. 1 indexed citations
10.
Nguyen, Ha-Thanh, Hang Le, Natalia Tomashenko, et al.. (2021). LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. arXiv (Cornell University). 34 indexed citations
11.
Schwab, Didier, et al.. (2019). Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation. arXiv (Cornell University). 108–117. 9 indexed citations
12.
Nagoudi, El Moatez Billah, et al.. (2018). 2L-APD: A Two-Level Plagiarism Detection System for Arabic Documents. Cybernetics and Information Technologies. 18(1). 124–138. 16 indexed citations
13.
Schwab, Didier, et al.. (2017). Uniformisation de corpus anglais annotés en sens. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
14.
Lafourcade, Mathieu, et al.. (2011). Évaluation et consolidation d'un réseau lexical grâce à un assistant ludique pour le " mot sur le bout de la langue ". SPIRE - Sciences Po Institutional REpository. 3 indexed citations
16.
Schwab, Didier, et al.. (2011). Bringing Text Display Digital Radio to Consumers With Hearing Loss. The Journal of Deaf Studies and Deaf Education. 16(4). 537–552. 3 indexed citations
17.
Schwab, Didier & Mathieu Lafourcade. (2007). Lexical Functions for Ants Based Semantic Analysis. HAL (Le Centre pour la Communication Scientifique Directe). 334–340. 1 indexed citations
18.
Lafourcade, Mathieu, Violaine Prince, & Didier Schwab. (2002). Vecteurs conceptuels et structuration émergente de terminologies. HAL (Le Centre pour la Communication Scientifique Directe). 43(1). 43–72. 3 indexed citations
19.
Schwab, Didier, Mathieu Lafourcade, & Violaine Prince. (2002). Vers l'apprentissage automatique, pour et par les vecteurs conceptuels, de fonctions lexicales. L'exemple de l'antonymie.. 126–135. 1 indexed citations
20.
Schwab, Didier & Violaine Prince. (2002). Amélioration de la représentation sémantique lexicale par les vecteurs conceptuels : le rôle de l'antonymie. HAL (Le Centre pour la Communication Scientifique Directe). 701–712. 1 indexed citations

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.

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