Carlos Caetano

31 total papers · 739 total citations
15 papers, 370 citations indexed

About

Carlos Caetano is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Carlos Caetano has authored 15 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Carlos Caetano's work include Advanced Image and Video Retrieval Techniques (6 papers), Human Pose and Action Recognition (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Carlos Caetano is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Human Pose and Action Recognition (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Carlos Caetano collaborates with scholars based in Brazil, France and United Kingdom. Carlos Caetano's co-authors include William Robson Schwartz, Silvio Jamil F. Guimarães, Arnaldo de Albuquerque Araújo, Sandra Avila, Jessica Sena, Jefersson A. dos Santos, François Brémond, Guillermo Cámara-Chávez, Fabrí­cio Benevenuto and Thomas Beltrame and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology and Scientific Data.

In The Last Decade

Carlos Caetano

14 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Carlos Caetano 285 210 103 71 42 15 370
Lei Yue 144 0.5× 128 0.6× 51 0.5× 22 0.3× 25 0.6× 20 350
Fan Jiang 253 0.9× 309 1.5× 120 1.2× 50 0.7× 51 1.2× 21 418
E.L. Andrade 381 1.3× 317 1.5× 67 0.7× 32 0.5× 38 0.9× 15 427
Zahraa S. Abdallah 162 0.6× 153 0.7× 87 0.8× 38 0.5× 39 0.9× 20 356
Muhammad Zaigham Zaheer 191 0.7× 329 1.6× 228 2.2× 95 1.3× 42 1.0× 29 410
Ekanath Rangan 45 0.2× 92 0.4× 82 0.8× 126 1.8× 18 0.4× 18 423
Youjin Shin 195 0.7× 159 0.8× 42 0.4× 5 0.1× 70 1.7× 16 339
Oluwatoyin P. Popoola 290 1.0× 275 1.3× 94 0.9× 69 1.0× 39 0.9× 10 379
Zhongtang Zhao 187 0.7× 193 0.9× 64 0.6× 49 0.7× 28 0.7× 15 366
Amer Malki 60 0.2× 149 0.7× 20 0.2× 21 0.3× 11 0.3× 19 341

Countries citing papers authored by Carlos Caetano

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Caetano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Caetano

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Caetano. A scholar is included among the top collaborators of Carlos Caetano 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 Carlos Caetano. Carlos Caetano 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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2026