Fabrice Huet

68 total papers · 924 total citations
26 papers, 224 citations indexed

About

Fabrice Huet is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Fabrice Huet has authored 26 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 12 papers in Information Systems and 8 papers in Hardware and Architecture. Recurrent topics in Fabrice Huet's work include Distributed and Parallel Computing Systems (14 papers), Parallel Computing and Optimization Techniques (8 papers) and Cloud Computing and Resource Management (8 papers). Fabrice Huet is often cited by papers focused on Distributed and Parallel Computing Systems (14 papers), Parallel Computing and Optimization Techniques (8 papers) and Cloud Computing and Resource Management (8 papers). Fabrice Huet collaborates with scholars based in France, Austria and Pakistan. Fabrice Huet's co-authors include Denis Caromel, Sheheryar Malik, Julien Vayssière, Frédéric Magoulès, Lori S. Mestre, Henri E. Bal, Sara Alouf, Philippe Nain, Françoise Baudé and Guillermo L. Taboada and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Future Generation Computer Systems and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Fabrice Huet

25 papers receiving 203 citations

Author Peers

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

Author						Papers	Cites
Fabrice Huet	169	101	53	44	20	26	224
Alexandra Carpen-Amarie	218 1.3×	158 1.6×	87 1.6×	33 0.8×	15 0.8×	18	276
Brendan Gregg	205 1.2×	136 1.3×	92 1.7×	57 1.3×	18 0.9×	20	282
Sujoy Basu	236 1.4×	138 1.4×	26 0.5×	63 1.4×	16 0.8×	24	317
Daniele Tessera	180 1.1×	169 1.7×	22 0.4×	53 1.2×	21 1.1×	28	266
Satish Penmatsa	277 1.6×	198 2.0×	116 2.2×	37 0.8×	12 0.6×	20	318
Alexandru Uta	202 1.2×	187 1.9×	15 0.3×	43 1.0×	38 1.9×	28	243
Donald P. Pazel	263 1.6×	195 1.9×	35 0.7×	47 1.1×	23 1.1×	18	313
Qingchao Cai	190 1.1×	161 1.6×	36 0.7×	106 2.4×	55 2.8×	16	305
Wanling Gao	97 0.6×	49 0.5×	65 1.2×	37 0.8×	22 1.1×	34	166
Jing Li	260 1.5×	127 1.3×	45 0.8×	109 2.5×	19 0.9×	19	325

Countries citing papers authored by Fabrice Huet

Since Specialization

Citations

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

Fields of papers citing papers by Fabrice Huet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Huet

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