G.B. Bénié

69 total papers · 1.3k total citations
50 papers, 990 citations indexed

About

G.B. Bénié is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, G.B. Bénié has authored 50 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 17 papers in Computer Vision and Pattern Recognition and 14 papers in Aerospace Engineering. Recurrent topics in G.B. Bénié's work include Image and Signal Denoising Methods (15 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (12 papers) and Advanced Image Fusion Techniques (11 papers). G.B. Bénié is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (12 papers) and Advanced Image Fusion Techniques (11 papers). G.B. Bénié collaborates with scholars based in Canada, France and Tunisia. G.B. Bénié's co-authors include Samuel Foucher, J.-M. Boucher, Kalifa Goı̈ta, K.P.B. Thomson, Rosana Cristina Grecchi, Fernando Fahl, Antônio Roberto Formaggio, Q.H.J. Gwyn, Marc Simard and Cheikh Mbow and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

G.B. Bénié

45 papers receiving 921 citations

Author Peers

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

Author						Papers	Cites
G.B. Bénié	328	319	189	183	170	50	990
Leiguang Wang	210 0.6×	321 1.0×	428 2.3×	351 1.9×	35 0.2×	104	1.2k
Junhuan Peng	185 0.6×	262 0.8×	129 0.7×	75 0.4×	247 1.5×	97	1.1k
S. Sudhakar	142 0.4×	77 0.2×	430 2.3×	143 0.8×	71 0.4×	36	1.1k
Yinyi Lin	199 0.6×	131 0.4×	247 1.3×	140 0.8×	24 0.1×	92	828
Laurent Polidori	54 0.2×	87 0.3×	74 0.4×	119 0.7×	112 0.7×	58	823
Fabio Giulio Tonolo	133 0.4×	169 0.5×	188 1.0×	92 0.5×	297 1.7×	64	1.1k
Jiantao Liu	94 0.3×	259 0.8×	540 2.9×	515 2.8×	85 0.5×	30	1.2k
Yuan Yuan	322 1.0×	304 1.0×	215 1.1×	97 0.5×	68 0.4×	46	958
Chunyuan Diao	137 0.4×	307 1.0×	502 2.7×	614 3.4×	27 0.2×	40	1.1k
B.P. Salmon	240 0.7×	420 1.3×	240 1.3×	354 1.9×	215 1.3×	74	1.2k

Countries citing papers authored by G.B. Bénié

Since Specialization

Citations

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

Fields of papers citing papers by G.B. Bénié

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.B. Bénié. 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 G.B. Bénié. The network helps show where G.B. Bénié may publish in the future.

Co-authorship network of co-authors of G.B. Bénié

This figure shows the co-authorship network connecting the top 25 collaborators of G.B. Bénié. A scholar is included among the top collaborators of G.B. Bénié 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 G.B. Bénié. G.B. Bénié 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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