Juan Domingo

126 total papers · 647 total citations
45 papers, 425 citations indexed

About

Juan Domingo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Juan Domingo has authored 45 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Juan Domingo's work include Medical Image Segmentation Techniques (14 papers), Image Retrieval and Classification Techniques (14 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Juan Domingo is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Image Retrieval and Classification Techniques (14 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Juan Domingo collaborates with scholars based in Spain, Türkiye and Portugal. Juan Domingo's co-authors include Guillermo Ayala, Esther de Ves, Esther Dura, Miguel Arevalillo‐Herráez, Francesc J. Ferri, Evgin Göçeri, Luis Martí‐Bonmatí, Teresa León, Amelia Simó and María Elena Díaz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Juan Domingo

39 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Juan Domingo 255 78 73 39 25 45 425
Milind M. Mushrif 267 1.0× 120 1.5× 117 1.6× 53 1.4× 19 0.8× 33 427
Xizhan Gao 249 1.0× 143 1.8× 49 0.7× 80 2.1× 21 0.8× 54 465
José Ruiz-Pinales 141 0.6× 133 1.7× 147 2.0× 41 1.1× 55 2.2× 55 466
L. Jani Anbarasi 203 0.8× 160 2.1× 156 2.1× 15 0.4× 24 1.0× 86 479
Jianfang Cao 204 0.8× 101 1.3× 27 0.4× 52 1.3× 13 0.5× 41 494
В. В. Старовойтов 202 0.8× 58 0.7× 38 0.5× 62 1.6× 16 0.6× 45 400
Tiejun Yang 219 0.9× 132 1.7× 110 1.5× 19 0.5× 39 1.6× 46 423
Shivendra Shivani 211 0.8× 96 1.2× 42 0.6× 18 0.5× 12 0.5× 43 413
Zhi Lu 174 0.7× 75 1.0× 75 1.0× 30 0.8× 67 2.7× 27 410
Yu Zhao 289 1.1× 80 1.0× 159 2.2× 27 0.7× 11 0.4× 46 458

Countries citing papers authored by Juan Domingo

Since Specialization
Citations

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

Fields of papers citing papers by Juan Domingo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Domingo

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