Franck Vermet

49 total papers · 615 total citations
22 papers, 235 citations indexed

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 235 indexed citations (citations by other indexed papers that have themselves been cited), including 9 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 Theoretical and Computational Physics (6 papers), Neural Networks and Applications (6 papers) and Advanced X-ray and CT Imaging (4 papers). Franck Vermet is often cited by papers focused on Theoretical and Computational Physics (6 papers), Neural Networks and Applications (6 papers) and Advanced X-ray and CT Imaging (4 papers). Franck Vermet collaborates with scholars based in France, Germany and United States. Franck Vermet's co-authors include Matthias Löwe, Neo Christopher Chung, Mathieu Hatt, Panagiotis Papadimitroulas, Dimitris Visvikis, George C. Kagadis, 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

Franck Vermet

19 papers receiving 229 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Franck Vermet	124	71	43	35	24	22	235
Alison Q. O’Neil	48 0.4×	136 1.9×	13 0.3×	7 0.2×	19 0.8×	21	324
Edward Oczeretko	71 0.6×	55 0.8×	41 1.0×	64 1.8×	4 0.2×	27	294
Marcin Ciecholewski	92 0.7×	78 1.1×	14 0.3×	12 0.3×	11 0.5×	15	280
Fanjie Kong	165 1.3×	157 2.2×	25 0.6×	23 0.7×	2 0.1×	14	294
Vittorio Di Somma	76 0.6×	107 1.5×	29 0.7×	20 0.6×		11	298
Kun Huang	66 0.5×	70 1.0×	16 0.4×	28 0.8×	2 0.1×	23	309
Mingyuan Liu	107 0.9×	109 1.5×	22 0.5×	26 0.7×		17	287
Subrata Bhattacharjee	121 1.0×	139 2.0×	35 0.8×	34 1.0×		34	330
Sara Garbarino	76 0.6×	51 0.7×	6 0.1×	6 0.2×	5 0.2×	30	295
Haeyun Lee	112 0.9×	145 2.0×	21 0.5×	19 0.5×		14	323

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).

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.

Co-authorship network of co-authors of Franck Vermet

This figure shows the co-authorship network connecting the top 25 collaborators of Franck Vermet. A scholar is included among the top collaborators of Franck Vermet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Franck Vermet. Franck Vermet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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