Nicolas Gauvrit

32 papers and 519 indexed citations i.

About

Nicolas Gauvrit is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Nicolas Gauvrit has authored 32 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 11 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Nicolas Gauvrit’s work include Computability, Logic, AI Algorithms (11 papers), Evolutionary Algorithms and Applications (6 papers) and Child and Animal Learning Development (4 papers). Nicolas Gauvrit is often cited by papers focused on Computability, Logic, AI Algorithms (11 papers), Evolutionary Algorithms and Applications (6 papers) and Child and Animal Learning Development (4 papers). Nicolas Gauvrit collaborates with scholars based in France, Spain and United Kingdom. Nicolas Gauvrit's co-authors include Fernando Soler Toscano, Héctor Zenil, Jean‐Paul Delahaye, Sebastian Diéguez, Vera Kempe, Pascal Wagner‐Egger, Hugo Peyre, Franck Ramus, Sylvain Delouvée and Fabien Mathy and has published in prestigious journals such as PLoS ONE, Psychological Science and Cognition.

In The Last Decade

Co-authorship network of co-authors of Nicolas Gauvrit i

Fields of papers citing papers by Nicolas Gauvrit

Since Specialization
EngineeringComputer 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 Nicolas Gauvrit. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Nicolas Gauvrit may publish in the future.

Countries citing papers authored by Nicolas Gauvrit

Since Specialization
Citations

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

Rankless by CCL
2025