Begoña Acha

113 total papers · 1.5k total citations
62 papers, 1.0k citations indexed

About

Begoña Acha is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Rehabilitation. According to data from OpenAlex, Begoña Acha has authored 62 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Rehabilitation. Recurrent topics in Begoña Acha's work include Medical Image Segmentation Techniques (10 papers), Retinal Imaging and Analysis (9 papers) and Wound Healing and Treatments (8 papers). Begoña Acha is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Retinal Imaging and Analysis (9 papers) and Wound Healing and Treatments (8 papers). Begoña Acha collaborates with scholars based in Spain, Canada and United States. Begoña Acha's co-authors include Carmen Serrano, Tomás Gómez‐Cía, J. A. Pérez‐Carrasco, Laura M. Roa, B. Linares-Barranco, Teresa Serrano‐Gotarredona, Aurora Sáez, Bo Zhao, Shouchun Chen and Irene Fondón and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Begoña Acha

60 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Begoña Acha 275 190 183 180 176 62 1.0k
Carmen Serrano 325 1.2× 254 1.3× 256 1.4× 195 1.1× 178 1.0× 62 1.2k
Peng Cheng 56 0.2× 318 1.7× 32 0.2× 245 1.4× 155 0.9× 59 1.2k
Hiroshi Noguchi 137 0.5× 48 0.3× 9 0.0× 206 1.1× 180 1.0× 102 1.0k
Sun Li 230 0.8× 211 1.1× 51 0.3× 410 2.3× 18 0.1× 95 1.2k
Won-Chul Bang 95 0.3× 286 1.5× 17 0.1× 321 1.8× 14 0.1× 48 974
M. G. Sumithra 140 0.5× 302 1.6× 58 0.3× 153 0.8× 7 0.0× 49 887
Yulin Wang 26 0.1× 72 0.4× 31 0.2× 143 0.8× 29 0.2× 70 798
Donal Fellows 86 0.3× 75 0.4× 29 0.2× 20 0.1× 33 0.2× 30 1.1k
Yung-Fu Chen 47 0.2× 165 0.9× 18 0.1× 233 1.3× 18 0.1× 61 950
Evangelos B. Mazomenos 40 0.1× 147 0.8× 179 1.0× 193 1.1× 50 0.3× 67 1.1k

Countries citing papers authored by Begoña Acha

Since Specialization
Citations

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

Fields of papers citing papers by Begoña Acha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Begoña Acha

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