Geneviève Baudoin

239 total papers · 1.6k total citations
60 papers, 525 citations indexed

About

Geneviève Baudoin is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Geneviève Baudoin has authored 60 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Geneviève Baudoin's work include Advanced Power Amplifier Design (26 papers), Radio Frequency Integrated Circuit Design (22 papers) and PAPR reduction in OFDM (13 papers). Geneviève Baudoin is often cited by papers focused on Advanced Power Amplifier Design (26 papers), Radio Frequency Integrated Circuit Design (22 papers) and PAPR reduction in OFDM (13 papers). Geneviève Baudoin collaborates with scholars based in France, United States and Czechia. Geneviève Baudoin's co-authors include Olivier Venard, Antoine Diet, Philippe du Jardin, Muhammad Usman Hadi, Giovanni Tartarini, Roman Maršálek, Siqi Wang, Pier Andrea Traverso, Jean-Luc Polleux and Jaň Černocký and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Geneviève Baudoin

55 papers receiving 499 citations

Author Peers

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

Author Last Decade Papers Cites
Geneviève Baudoin 429 47 45 40 37 60 525
Heng Liu 368 0.9× 33 0.7× 80 1.8× 59 1.5× 41 1.1× 73 506
Yiyuan Chen 305 0.7× 11 0.2× 26 0.6× 43 1.1× 45 1.2× 42 496
Vasile Ţopa 313 0.7× 16 0.3× 42 0.9× 46 1.1× 56 1.5× 82 503
Nataša Nešković 434 1.0× 35 0.7× 25 0.6× 110 2.8× 47 1.3× 63 575
Zheng Wang 514 1.2× 12 0.3× 65 1.4× 38 0.9× 29 0.8× 58 614
Joel P. Dunsmore 505 1.2× 15 0.3× 77 1.7× 100 2.5× 12 0.3× 48 566
J. Wenger 366 0.9× 18 0.4× 98 2.2× 258 6.5× 21 0.6× 36 512
Song‐Nam Hong 466 1.1× 54 1.1× 66 1.5× 89 2.2× 85 2.3× 62 593
Pankaj Kumar Das 310 0.7× 54 1.1× 106 2.4× 57 1.4× 41 1.1× 57 558
Sanguk Lee 322 0.8× 35 0.7× 40 0.9× 99 2.5× 24 0.6× 73 478

Countries citing papers authored by Geneviève Baudoin

Since Specialization
Citations

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

Fields of papers citing papers by Geneviève Baudoin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geneviève Baudoin

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