Sébastien Heymann

3 papers and 8.0k indexed citations i.

About

Sébastien Heymann is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Sébastien Heymann has authored 3 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Statistical and Nonlinear Physics and 1 paper in Artificial Intelligence. Recurrent topics in Sébastien Heymann’s work include Data Visualization and Analytics (3 papers), Complex Network Analysis Techniques (3 papers) and Advanced Text Analysis Techniques (1 paper). Sébastien Heymann is often cited by papers focused on Data Visualization and Analytics (3 papers), Complex Network Analysis Techniques (3 papers) and Advanced Text Analysis Techniques (1 paper). Sébastien Heymann collaborates with scholars based in France. Sébastien Heymann's co-authors include Mathieu Jacomy, Tommaso Venturini and Bénédicte Le Grand and has published in prestigious journals such as PLoS ONE, Proceedings of the International AAAI Conference on Web and Social Media and 2012 16th International Conference on Information Visualisation.

In The Last Decade

Co-authorship network of co-authors of Sébastien Heymann i

Fields of papers citing papers by Sébastien Heymann

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 Sébastien Heymann. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sébastien Heymann may publish in the future.

Countries citing papers authored by Sébastien Heymann

Since Specialization
Citations

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

Rankless by CCL
2025