R. Rosales

11 total papers · 687 total citations
8 papers, 438 citations indexed

About

R. Rosales is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, R. Rosales has authored 8 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Human-Computer Interaction and 1 paper in Control and Systems Engineering. Recurrent topics in R. Rosales's work include Human Pose and Action Recognition (7 papers), Advanced Vision and Imaging (4 papers) and Video Surveillance and Tracking Methods (3 papers). R. Rosales is often cited by papers focused on Human Pose and Action Recognition (7 papers), Advanced Vision and Imaging (4 papers) and Video Surveillance and Tracking Methods (3 papers). R. Rosales collaborates with scholars based in United States. R. Rosales's co-authors include Stan Sclaroff, Leonid Sigal, Vassilis Athitsos, Jonathan Alon, Anthony Jabre and Edward L. Spatz and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

R. Rosales

8 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
R. Rosales 383 141 98 60 57 8 438
Yuncheng Li 360 0.9× 202 1.4× 132 1.3× 81 1.4× 47 0.8× 6 425
Manuel Kaufmann 372 1.0× 103 0.7× 202 2.1× 49 0.8× 107 1.9× 18 493
Tsz-Ho Yu 338 0.9× 226 1.6× 110 1.1× 58 1.0× 44 0.8× 7 425
Marcin Eichner 448 1.2× 125 0.9× 28 0.3× 57 0.9× 63 1.1× 10 494
R. Plankers 410 1.1× 73 0.5× 154 1.6× 17 0.3× 70 1.2× 11 486
Junwu Weng 356 0.9× 169 1.2× 106 1.1× 111 1.9× 104 1.8× 9 413
Andreas Baak 357 0.9× 83 0.6× 132 1.3× 19 0.3× 39 0.7× 7 400
Yucheng Chen 375 1.0× 93 0.7× 30 0.3× 102 1.7× 97 1.7× 12 482
Charles Malleson 340 0.9× 92 0.7× 101 1.0× 16 0.3× 84 1.5× 16 407
Robert Wang 296 0.8× 210 1.5× 70 0.7× 45 0.8× 42 0.7× 16 432

Countries citing papers authored by R. Rosales

Since Specialization
Citations

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

Fields of papers citing papers by R. Rosales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Rosales

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