Marc Raimondo

21 total papers · 603 total citations
16 papers, 366 citations indexed

About

Marc Raimondo is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, Marc Raimondo has authored 16 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Applied Mathematics and 6 papers in Statistics and Probability. Recurrent topics in Marc Raimondo's work include Image and Signal Denoising Methods (10 papers), Statistical Methods and Inference (5 papers) and Mathematical Analysis and Transform Methods (3 papers). Marc Raimondo is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Statistical Methods and Inference (5 papers) and Mathematical Analysis and Transform Methods (3 papers). Marc Raimondo collaborates with scholars based in Australia, United States and France. Marc Raimondo's co-authors include Iain M. Johnstone, Dominique Picard, Gérard Kerkyacharian, David L. Donoho, Nader Tajvidi, Laurent Cavalier, Rafał Kulik, Peter Hall, Ming−Yen Cheng and Michael Stewart and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Marc Raimondo

16 papers receiving 326 citations

Author Peers

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

Author						Papers	Cites
Marc Raimondo	164	150	75	64	64	16	366
Gérard Gregoire	130 0.8×	203 1.4×	18 0.2×	77 1.2×	68 1.1×	20	399
Luca Nenna	65 0.4×	62 0.4×	54 0.7×	28 0.4×	112 1.8×	10	361
Vincent Rivoirard	35 0.2×	172 1.1×	25 0.3×	33 0.5×	105 1.6×	30	370
Klaus Frick	59 0.4×	110 0.7×	74 1.0×	16 0.3×	18 0.3×	21	316
Loı̈c Hervé	46 0.3×	129 0.9×	22 0.3×	33 0.5×	75 1.2×	33	363
ByoungSeon Choi	36 0.2×	62 0.4×	14 0.2×	39 0.6×	32 0.5×	26	337
Leszek Plaskota	41 0.3×	47 0.3×	84 1.1×	48 0.8×	143 2.2×	43	396
Hristo S. Sendov	47 0.3×	25 0.2×	119 1.6×	14 0.2×	93 1.5×	34	375
Anne Estrade	65 0.4×	27 0.2×	15 0.2×	102 1.6×	63 1.0×	25	314
Gunther Leobacher	44 0.3×	47 0.3×	73 1.0×	124 1.9×	108 1.7×	34	404

Countries citing papers authored by Marc Raimondo

Since Specialization

Citations

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

Fields of papers citing papers by Marc Raimondo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Raimondo

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