Franck Legendre

50 total papers · 1.4k total citations
32 papers, 928 citations indexed

About

Franck Legendre is a scholar working on Computer Networks and Communications, Transportation and Information Systems. According to data from OpenAlex, Franck Legendre has authored 32 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 9 papers in Transportation and 5 papers in Information Systems. Recurrent topics in Franck Legendre's work include Opportunistic and Delay-Tolerant Networks (27 papers), Mobile Ad Hoc Networks (16 papers) and Caching and Content Delivery (13 papers). Franck Legendre is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (27 papers), Mobile Ad Hoc Networks (16 papers) and Caching and Content Delivery (13 papers). Franck Legendre collaborates with scholars based in Switzerland, France and United States. Franck Legendre's co-authors include Theus Hossmann, Thrasyvoulos Spyropoulos, Sacha Trifunovic, Dominik Schatzmann, Serge Fdida, Per Gunningberg, Bernhard Plattner, Christian Rohner, Marcelo Dias de Amorim and Philipp Sommer and has published in prestigious journals such as Chemistry - A European Journal, IEEE/ACM Transactions on Networking and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Franck Legendre

32 papers receiving 876 citations

Author Peers

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

Author						Papers	Cites
Franck Legendre	781	200	190	80	78	32	928
Theus Hossmann	542 0.7×	141 0.7×	120 0.6×	46 0.6×	84 1.1×	34	813
Wei-jen Hsu	788 1.0×	290 1.4×	192 1.0×	18 0.2×	42 0.5×	19	862
Karim Seada	734 0.9×	50 0.3×	329 1.7×	38 0.5×	133 1.7×	29	907
Maria Papadopouli	864 1.1×	71 0.4×	372 2.0×	29 0.4×	58 0.7×	57	1.1k
J. Laurila	333 0.4×	325 1.6×	603 3.2×	61 0.8×	67 0.9×	26	1.1k
Xiaolan Zhang	1.0k 1.3×	74 0.4×	193 1.0×	19 0.2×	82 1.1×	15	1.2k
Sridhar Machiraju	630 0.8×	95 0.5×	411 2.2×	18 0.2×	91 1.2×	22	866
Minkyong Kim	665 0.9×	102 0.5×	195 1.0×	18 0.2×	253 3.2×	25	803
Paul Castro	782 1.0×	93 0.5×	219 1.2×	30 0.4×	370 4.7×	25	1.1k
Anand Balachandran	897 1.1×	52 0.3×	601 3.2×	51 0.6×	49 0.6×	25	1.1k

Countries citing papers authored by Franck Legendre

Since Specialization

Citations

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

Fields of papers citing papers by Franck Legendre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franck Legendre

This figure shows the co-authorship network connecting the top 25 collaborators of Franck Legendre. A scholar is included among the top collaborators of Franck Legendre 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 Legendre. Franck Legendre 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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