Franck Vermet

22 papers and 269 indexed citations i.

About

Franck Vermet is a scholar working on Artificial Intelligence, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, Franck Vermet has authored 22 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Condensed Matter Physics and 4 papers in Computer Networks and Communications. Recurrent topics in Franck Vermet’s work include Neural Networks and Applications (8 papers), Theoretical and Computational Physics (6 papers) and Complex Network Analysis Techniques (3 papers). Franck Vermet is often cited by papers focused on Neural Networks and Applications (8 papers), Theoretical and Computational Physics (6 papers) and Complex Network Analysis Techniques (3 papers). Franck Vermet collaborates with scholars based in France, Germany and United States. Franck Vermet's co-authors include Matthias Löwe, Dimitris Visvikis, Panagiotis Papadimitroulas, George C. Kagadis, Mathieu Hatt, Neo Christopher Chung, Corwin J. Wright, Pierre Ailliot, Robert B. Scott and Vincent Gripon and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Physical Oceanography and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Franck Vermet i

Fields of papers citing papers by Franck Vermet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Franck Vermet

Since Specialization
Citations

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