Roberto R. Osorio

76 total papers · 727 total citations
53 papers, 522 citations indexed

About

Roberto R. Osorio is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Roberto R. Osorio has authored 53 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Roberto R. Osorio's work include Advanced Data Compression Techniques (17 papers), Video Coding and Compression Technologies (12 papers) and Advanced Chemical Physics Studies (8 papers). Roberto R. Osorio is often cited by papers focused on Advanced Data Compression Techniques (17 papers), Video Coding and Compression Technologies (12 papers) and Advanced Chemical Physics Studies (8 papers). Roberto R. Osorio collaborates with scholars based in Spain, Brazil and United States. Roberto R. Osorio's co-authors include J.D. Bruguera, Alex Zunger, Sverre Froyen, Jorge Carrasco, Gino Casassa, Belita Koiller, L. M. Falicov, Gabriel Rodríguez, James E. Bernard and Maria A. Davidovich and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and IEEE Access.

In The Last Decade

Roberto R. Osorio

43 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Roberto R. Osorio	147	134	130	117	115	53	522
M. Kamada	46 0.3×	223 1.7×	32 0.2×	44 0.4×	227 2.0×	65	468
R. Bernstein	91 0.6×	93 0.7×	13 0.1×	45 0.4×	184 1.6×	39	492
Martin Benning	90 0.6×	97 0.7×	10 0.1×	35 0.3×	38 0.3×	31	472
Yijun Chen	68 0.5×	104 0.8×	15 0.1×	31 0.3×	108 0.9×	72	557
Qing Tang	212 1.4×	124 0.9×	79 0.6×	28 0.2×	123 1.1×	42	574
R. Serneels	15 0.1×	104 0.8×	15 0.1×	138 1.2×	84 0.7×	34	462
S. H. Oh	60 0.4×	43 0.3×	22 0.2×	19 0.2×	127 1.1×	47	540
Pierre Marchand	11 0.1×	203 1.5×	70 0.5×	32 0.3×	81 0.7×	34	528
Hai Yu	46 0.3×	9 0.1×	58 0.4×	152 1.3×	94 0.8×	20	471
Nikhil Balram	175 1.2×	52 0.4×	34 0.3×	16 0.1×	65 0.6×	37	474

Countries citing papers authored by Roberto R. Osorio

Since Specialization

Citations

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

Fields of papers citing papers by Roberto R. Osorio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto R. Osorio. 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 Roberto R. Osorio. The network helps show where Roberto R. Osorio may publish in the future.

Co-authorship network of co-authors of Roberto R. Osorio

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto R. Osorio. A scholar is included among the top collaborators of Roberto R. Osorio 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 Roberto R. Osorio. Roberto R. Osorio 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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