A. Carmona-Poyato

50 total papers · 934 total citations
38 papers, 639 citations indexed

About

A. Carmona-Poyato is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, A. Carmona-Poyato has authored 38 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 6 papers in Artificial Intelligence. Recurrent topics in A. Carmona-Poyato's work include Video Surveillance and Tracking Methods (8 papers), Image and Object Detection Techniques (8 papers) and Medical Image Segmentation Techniques (8 papers). A. Carmona-Poyato is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Image and Object Detection Techniques (8 papers) and Medical Image Segmentation Techniques (8 papers). A. Carmona-Poyato collaborates with scholars based in Spain and United States. A. Carmona-Poyato's co-authors include F.J. Madrid-Cuevas, R. Medina-Carnicer, Rafael Muñoz‐Salinas, Manuel J. Marín‐Jiménez, Antonio M. Durán-Rosal, Enrique Yeguas-Bolívar, Pedro Antonio Gutiérrez, César Hervás‐Martínez, Francisco M. Castro and Nicolás Guil and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Neurocomputing.

In The Last Decade

A. Carmona-Poyato

38 papers receiving 610 citations

Author Peers

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

Author Last Decade Papers Cites
A. Carmona-Poyato 488 88 81 76 74 38 639
Ruizhen Zhao 575 1.2× 65 0.7× 92 1.1× 147 1.9× 60 0.8× 58 765
Zhao Wang 348 0.7× 75 0.9× 181 2.2× 80 1.1× 32 0.4× 53 624
Zen Chen 520 1.1× 48 0.5× 47 0.6× 52 0.7× 110 1.5× 67 737
Yan Cui 316 0.6× 40 0.5× 147 1.8× 58 0.8× 71 1.0× 32 603
Chang Liu 515 1.1× 58 0.7× 225 2.8× 44 0.6× 78 1.1× 45 655
Jimin Yu 311 0.6× 45 0.5× 58 0.7× 55 0.7× 35 0.5× 62 720
Kun Yuan 492 1.0× 56 0.6× 221 2.7× 118 1.6× 25 0.3× 32 717
Jianfeng Zhang 536 1.1× 45 0.5× 97 1.2× 104 1.4× 12 0.2× 50 701
Yixin Chen 470 1.0× 43 0.5× 103 1.3× 140 1.8× 12 0.2× 33 638
Kai Liu 330 0.7× 105 1.2× 143 1.8× 34 0.4× 14 0.2× 74 772

Countries citing papers authored by A. Carmona-Poyato

Since Specialization
Citations

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

Fields of papers citing papers by A. Carmona-Poyato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Carmona-Poyato. 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 A. Carmona-Poyato. The network helps show where A. Carmona-Poyato may publish in the future.

Co-authorship network of co-authors of A. Carmona-Poyato

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