Sébastien Guillon

114 total papers · 652 total citations
41 papers, 461 citations indexed

About

Sébastien Guillon is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sébastien Guillon has authored 41 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Geophysics, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Artificial Intelligence. Recurrent topics in Sébastien Guillon's work include Seismic Imaging and Inversion Techniques (13 papers), Power System Optimization and Stability (7 papers) and Image and Signal Denoising Methods (6 papers). Sébastien Guillon is often cited by papers focused on Seismic Imaging and Inversion Techniques (13 papers), Power System Optimization and Stability (7 papers) and Image and Signal Denoising Methods (6 papers). Sébastien Guillon collaborates with scholars based in France, Canada and India. Sébastien Guillon's co-authors include D. H. Boteler, Marc Donias, Innocent Kamwa, Pierre Baylou, Olivier Lavialle, Mohamed Najim, Louis‐A. Dessaint, Patrick Toner, Yannick Berthoumieu and Lianguang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Power Systems.

In The Last Decade

Sébastien Guillon

38 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Sébastien Guillon	161	126	87	80	71	41	461
Feng Mao	80 0.5×	18 0.1×	81 0.9×	31 0.4×	99 1.4×	51	490
Zhihong Fu	141 0.9×	121 1.0×	42 0.5×	215 2.7×	19 0.3×	45	510
Frank Cremer	81 0.5×	35 0.3×	18 0.2×	45 0.6×	19 0.3×	28	415
Mohd Riduan Ahmad	44 0.3×	237 1.9×	42 0.5×	10 0.1×	230 3.2×	103	525
John Devlin	108 0.7×	102 0.8×	17 0.2×	56 0.7×	232 3.3×	35	451
Long Tang	102 0.6×	62 0.5×	38 0.4×	75 0.9×	147 2.1×	40	491
Xiaoxuan Zhang	29 0.2×	175 1.4×	57 0.7×	17 0.2×	21 0.3×	52	472
Sergey Voronin	98 0.6×	164 1.3×	27 0.3×	75 0.9×	3 0.0×	54	540
Duojie Weng	24 0.1×	124 1.0×	14 0.2×	39 0.5×	131 1.8×	63	435
Yan Han	24 0.1×	104 0.8×	29 0.3×	66 0.8×	5 0.1×	70	475

Countries citing papers authored by Sébastien Guillon

Since Specialization

Citations

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

Fields of papers citing papers by Sébastien Guillon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Guillon

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