Claire Goursaud

128 total papers · 1.1k total citations
38 papers, 541 citations indexed

About

Claire Goursaud is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Claire Goursaud has authored 38 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 13 papers in Computer Networks and Communications and 12 papers in Artificial Intelligence. Recurrent topics in Claire Goursaud's work include graph theory and CDMA systems (10 papers), Energy Harvesting in Wireless Networks (10 papers) and Coding theory and cryptography (8 papers). Claire Goursaud is often cited by papers focused on graph theory and CDMA systems (10 papers), Energy Harvesting in Wireless Networks (10 papers) and Coding theory and cryptography (8 papers). Claire Goursaud collaborates with scholars based in France, United States and Germany. Claire Goursaud's co-authors include Jean-Marie Gorce, Anne Julien‐Vergonjanne, Laurent Ouvry, Laura Cottatellucci, Lusheng Wang, Navid Nikaein, Christelle Aupetit‐Berthelemot, Paul Ferrand, Katia Jaffrès‐Runser and Raffaele D’Errico and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Claire Goursaud

34 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
Claire Goursaud	453	315	202	69	25	38	541
Jean-Christophe Prévotet	364 0.8×	219 0.7×	65 0.3×	40 0.6×	48 1.9×	33	461
Ahmed S. Samra	199 0.4×	219 0.7×	71 0.4×	68 1.0×	12 0.5×	41	475
Valerio Bioglio	323 0.7×	441 1.4×	60 0.3×	94 1.4×	21 0.8×	34	605
Sandipan Kundu	429 0.9×	76 0.2×	107 0.5×	61 0.9×	23 0.9×	32	595
Xin He	332 0.7×	205 0.7×	47 0.2×	36 0.5×	62 2.5×	56	456
Arshad Farhad	497 1.1×	321 1.0×	158 0.8×	34 0.5×	36 1.4×	33	562
B. Fourestié	438 1.0×	298 0.9×	29 0.1×	26 0.4×	50 2.0×	40	505
Sudarshan Tiwari	303 0.7×	424 1.3×	41 0.2×	60 0.9×	19 0.8×	41	532
Russell Haines	434 1.0×	346 1.1×	38 0.2×	20 0.3×	54 2.2×	24	558
Joachim Rodrigues	519 1.1×	172 0.5×	115 0.6×	26 0.4×	38 1.5×	54	600

Countries citing papers authored by Claire Goursaud

Since Specialization

Citations

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

Fields of papers citing papers by Claire Goursaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Goursaud

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