Stéphane G. Roux

70 total papers · 1.4k total citations
38 papers, 800 citations indexed

About

Stéphane G. Roux is a scholar working on Economics and Econometrics, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Stéphane G. Roux has authored 38 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Global and Planetary Change. Recurrent topics in Stéphane G. Roux's work include Complex Systems and Time Series Analysis (11 papers), Image and Signal Denoising Methods (7 papers) and Theoretical and Computational Physics (6 papers). Stéphane G. Roux is often cited by papers focused on Complex Systems and Time Series Analysis (11 papers), Image and Signal Denoising Methods (7 papers) and Theoretical and Computational Physics (6 papers). Stéphane G. Roux collaborates with scholars based in France, United States and Brazil. Stéphane G. Roux's co-authors include A. Arnéodo, N. Decoster, Patrice Abry, Stéphane Jaffard, Herwig Wendt, Benjamin Audit, Cécile Tannier, Françoise Argoul, Олег Наймарк and Nicolas Garnier and has published in prestigious journals such as Physical Review Letters, PLoS ONE and IEEE Transactions on Signal Processing.

In The Last Decade

Stéphane G. Roux

37 papers receiving 780 citations

Author Peers

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

Author						Papers	Cites
Stéphane G. Roux	239	144	99	94	87	38	800
Richard M. Crownover	194 0.8×	329 2.3×	71 0.7×	55 0.6×	40 0.5×	7	896
G. Grasseau	250 1.0×	167 1.2×	159 1.6×	57 0.6×	10 0.1×	10	799
Carl J. G. Evertsz	254 1.1×	60 0.4×	164 1.7×	52 0.6×	80 0.9×	31	846
F. James	28 0.1×	141 1.0×	114 1.2×	32 0.3×	72 0.8×	17	1.1k
Christoph Räth	55 0.2×	34 0.2×	109 1.1×	47 0.5×	133 1.5×	64	985
Stefano Patarnello	80 0.3×	68 0.5×	100 1.0×	44 0.5×	32 0.4×	38	769
Antoine Ayache	360 1.5×	159 1.1×	72 0.7×	20 0.2×	50 0.6×	55	843
J. Delour	442 1.8×	40 0.3×	176 1.8×	52 0.6×	8 0.1×	9	852
R. Vio	186 0.8×	78 0.5×	200 2.0×	34 0.4×	12 0.1×	62	861
Claus Beisbart	100 0.4×	37 0.3×	57 0.6×	22 0.2×	40 0.5×	47	718

Countries citing papers authored by Stéphane G. Roux

Since Specialization

Citations

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

Fields of papers citing papers by Stéphane G. Roux

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane G. Roux

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane G. Roux. A scholar is included among the top collaborators of Stéphane G. Roux 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 Stéphane G. Roux. Stéphane G. Roux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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