Florence Bénézit

1.2k total citations
9 papers, 724 citations indexed

About

Florence Bénézit is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Florence Bénézit has authored 9 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 2 papers in Statistical and Nonlinear Physics and 2 papers in Management Science and Operations Research. Recurrent topics in Florence Bénézit's work include Distributed Control Multi-Agent Systems (7 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Game Theory and Applications (2 papers). Florence Bénézit is often cited by papers focused on Distributed Control Multi-Agent Systems (7 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Game Theory and Applications (2 papers). Florence Bénézit collaborates with scholars based in Switzerland, France and United States. Florence Bénézit's co-authors include Jianbo Shi, Timothée Cour, Martin Vetterli, Patrick Thiran, Vincent D. Blondel, John N. Tsitsiklis and Alexandros G. Dimakis and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Journal of Selected Topics in Signal Processing and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Florence Bénézit

9 papers receiving 691 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Florence Bénézit Switzerland	8	317	312	107	100	61	9	724
Hong Shi China	13	113 0.4×	352 1.1×	145 1.4×	33 0.3×	24 0.4×	59	646
Laura Toni United Kingdom	18	506 1.6×	368 1.2×	106 1.0×	32 0.3×	37 0.6×	68	956
Deqiang Ouyang China	15	274 0.9×	404 1.3×	237 2.2×	38 0.4×	219 3.6×	36	860
Yin‐Ping Zhao China	10	262 0.8×	84 0.3×	142 1.3×	59 0.6×	42 0.7×	28	454
Jiaming Liu China	13	261 0.8×	73 0.2×	95 0.9×	62 0.6×	50 0.8×	37	518
E. A. Zanaty Egypt	14	266 0.8×	42 0.1×	262 2.4×	75 0.8×	19 0.3×	52	629
Xiaoqiang Wang China	14	89 0.3×	110 0.4×	233 2.2×	24 0.2×	9 0.1×	60	492
Rong Ge United States	11	144 0.5×	44 0.1×	191 1.8×	39 0.4×	25 0.4×	28	579
Kiichi Urahama Japan	11	182 0.6×	39 0.1×	171 1.6×	47 0.5×	21 0.3×	138	433

Countries citing papers authored by Florence Bénézit

Since Specialization

Citations

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

Fields of papers citing papers by Florence Bénézit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Bénézit

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Bénézit. A scholar is included among the top collaborators of Florence Bénézit 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 Florence Bénézit. Florence Bénézit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Bénézit, Florence, et al.. (2011). The Distributed Multiple Voting Problem. IEEE Journal of Selected Topics in Signal Processing. 5(4). 791–804. 23 indexed citations

Bénézit, Florence, Alexandros G. Dimakis, Patrick Thiran, & Martin Vetterli. (2010). Order-Optimal Consensus Through Randomized Path Averaging. IEEE Transactions on Information Theory. 56(10). 5150–5167. 39 indexed citations

Bénézit, Florence, Vincent D. Blondel, Patrick Thiran, John N. Tsitsiklis, & Martin Vetterli. (2010). Weighted Gossip: Distributed Averaging using non-doubly stochastic matrices. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1753–1757. 146 indexed citations

Bénézit, Florence. (2009). Distributed average consensus for wireless sensor networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 8 indexed citations

Bénézit, Florence, Patrick Thiran, & Martin Vetterli. (2009). Interval consensus: From quantized gossip to voting. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3661–3664. 45 indexed citations

Bénézit, Florence, et al.. (2008). Which Distributed Averaging Algorithm Should I Choose for my Sensor Network?. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 986–994. 37 indexed citations

Bénézit, Florence, et al.. (2008). Which Distributed Averaging Algorithm Should I Choose for my Sensor Network?. 2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications. 1 indexed citations

Bénézit, Florence, Alexandros G. Dimakis, Patrick Thiran, & Martin Vetterli. (2007). Gossip along the way: order-optimal consensus through randomized path averaging. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 41 indexed citations

Cour, Timothée, Florence Bénézit, & Jianbo Shi. (2005). Spectral Segmentation with Multiscale Graph Decomposition. 2. 1124–1131. 384 indexed citations

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.

Explore authors with similar magnitude of impact