Maxime Peyrard
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 456 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 Robert West, Judith Eckle‐Kohler, Iryna Gurevych, Christian M. Meyer and Kristina Gligorić and has published in prestigious journals such as Language Resources and Evaluation.
In The Last Decade
Fields of papers citing papers by Maxime Peyrard
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Maxime Peyrard. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maxime Peyrard may publish in the future.
Countries citing papers authored by Maxime Peyrard
Since SpecializationCitations
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).
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