Didier Schwab

26 papers and 143 indexed citations i.

About

Didier Schwab is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Didier Schwab has authored 26 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Didier Schwab’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Speech and dialogue systems (7 papers). Didier Schwab is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Speech and dialogue systems (7 papers). Didier Schwab collaborates with scholars based in France, Algeria and Saudi Arabia. Didier Schwab's co-authors include Hang Le, Laurent Besacier, Mathieu Lafourcade, El Moatez Billah Nagoudi, Juan Pino, Changhan Wang, Violaine Prince, Jiatao Gu, Michael Zock and Benjamin Lecouteux and has published in prestigious journals such as Lecture notes in computer science, Biomedical Signal Processing and Control and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Didier Schwab i

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.

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).

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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2025