Maxime Peyrard

25 papers and 472 indexed citations i.

About

Maxime Peyrard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Communication. According to data from OpenAlex, Maxime Peyrard has authored 25 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Communication. Recurrent topics in Maxime Peyrard’s work include Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (10 papers). Maxime Peyrard is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (10 papers). Maxime Peyrard collaborates with scholars based in Germany, France and Switzerland. Maxime Peyrard's co-authors include Steffen Eger, Yang Gao, Wei Zhao, Christian M. Meyer, Fei Liu, Judith Eckle‐Kohler, Iryna Gurevych, Robert West, Martin Josifoski and Nicola De Cao and has published in prestigious journals such as Language Resources and Evaluation, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Maxime Peyrard i

Fields of papers citing papers by Maxime Peyrard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maxime Peyrard

Since Specialization
Citations

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