Vincent Labatut

35 papers and 376 indexed citations i.

About

Vincent Labatut is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vincent Labatut has authored 35 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistical and Nonlinear Physics, 13 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vincent Labatut’s work include Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (12 papers) and Data Visualization and Analytics (5 papers). Vincent Labatut is often cited by papers focused on Complex Network Analysis Techniques (22 papers), Opinion Dynamics and Social Influence (12 papers) and Data Visualization and Analytics (5 papers). Vincent Labatut collaborates with scholars based in France, Türkiye and The Netherlands. Vincent Labatut's co-authors include Günce Keziban Orman, Hocine Cherifi, Georges Linarès, Rosa Figueiredo, Anthony Perez, Jean‐François Boulicaut, Marc Plantevit, Serigne Guèye, Richard Dufour and Pierre Celsis and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Vincent Labatut i

Fields of papers citing papers by Vincent Labatut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vincent Labatut

Since Specialization
Citations

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