Miguel Guevara

132 total papers · 2.5k total citations
72 papers, 1.5k citations indexed

About

Miguel Guevara is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Miguel Guevara has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Artificial Intelligence. Recurrent topics in Miguel Guevara's work include AI in cancer detection (12 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Functional Brain Connectivity Studies (10 papers). Miguel Guevara is often cited by papers focused on AI in cancer detection (12 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Functional Brain Connectivity Studies (10 papers). Miguel Guevara collaborates with scholars based in Portugal, France and Chile. Miguel Guevara's co-authors include Raúl Ramos-Pollán, John Arévalo, Fabio A. González, José Luís Oliveira, Daniel C. Moura, Isabel Ramos, María Corsi‐Cabrera, Dibet Garcia Gonzalez, Augusto Silva and Noel Pérez and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Optics Express.

In The Last Decade

Miguel Guevara

67 papers receiving 1.5k citations

Hit Papers

Representation learning f... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Miguel Guevara 599 586 344 239 136 72 1.5k
Tao Zhang 354 0.6× 274 0.5× 300 0.9× 311 1.3× 66 0.5× 158 2.1k
Yübo Wang 352 0.6× 166 0.3× 200 0.6× 261 1.1× 108 0.8× 145 1.8k
Uvais Qidwai 285 0.5× 330 0.6× 810 2.4× 106 0.4× 62 0.5× 115 2.2k
Vasileios Belagiannis 528 0.9× 808 1.4× 1.0k 3.0× 86 0.4× 41 0.3× 48 2.1k
Gérard Subsol 353 0.6× 148 0.3× 613 1.8× 108 0.5× 133 1.0× 108 1.7k
Yanrong Guo 429 0.7× 346 0.6× 962 2.8× 94 0.4× 108 0.8× 99 2.1k
Qinghua Zhou 334 0.6× 369 0.6× 367 1.1× 96 0.4× 62 0.5× 48 1.3k
Kayhan Batmanghelich 353 0.6× 420 0.7× 1.4k 4.1× 269 1.1× 95 0.7× 58 2.3k
Ahmet Çınar 428 0.7× 495 0.8× 543 1.6× 90 0.4× 58 0.4× 84 1.4k
Song Wu 182 0.3× 502 0.9× 641 1.9× 80 0.3× 269 2.0× 29 2.1k

Countries citing papers authored by Miguel Guevara

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Guevara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Guevara

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