Miguel Ángel González‐Ballester

13 papers receiving 352 citations

Peers

Miguel Ángel González‐Ballester
Comparison fields: 5 of 78
  • Health Informatics 12
  • Radiology, Nuclear Medicine and Imaging 143
  • Computer Vision and Pattern Recognition 84
  • Radiation 27
  • Health Information Management 11
Replace David Robben with:
David Robben Belgium
Joshua V. Stough United States
Derek Merck United States
Mostafa Ghelich Oghli Iran
Fabíola Macruz United States
Christian F. Baumgartner Germany
Miguel A. Lago United States
Jinseong Jang South Korea
Alireza Sedghi Canada
Shanshan Cui China
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Citations per field
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Citations per year

Countries citing papers authored by Miguel Ángel González‐Ballester

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Ángel González‐Ballester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Ángel González‐Ballester. 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 Ángel González‐Ballester. The network helps show where Miguel Ángel González‐Ballester may publish in the future.

Co-authors

The 25 scholars most cited alongside Miguel Ángel González‐Ballester, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miguel Ángel González‐Ballester Line = papers co-authored together Miguel Ángel González‐Ballester links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2002139
2 200763
3 202254
4 201645
5 201535
6 20069
7 20047
8 20193
9 20212
10 20241
11 20201
12 20171
13 20161

About Miguel Ángel González‐Ballester

Miguel Ángel González‐Ballester is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 13 papers that have together received 361 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Advanced X-ray and CT Imaging (3 papers), Neural dynamics and brain function (2 papers), Medical Imaging Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Neuroscience and Neural Engineering (1 paper), Surgical Simulation and Training (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (143 citations), Computer Vision and Pattern Recognition (84 citations), Radiation (27 citations) and Health Information Management (11 citations). Miguel Ángel González‐Ballester has collaborated with scholars based in Spain, Switzerland and France. Frequent co-authors include Mauricio Reyes, Jacques Darcourt, P.M. Koulibaly, Grégoire Malandain, Juan Carlos Monllau, Pablo Eduardo Gelber, Jérôme Noailly, Juan J. Cerrolaza, Ronald M. Summers and Marius George Linguraru. Their work appears in journals such as Medical Image Analysis, Medical Physics, Frontiers in Bioengineering and Biotechnology, The Journal of Laryngology & Otology and IBM Journal of Research and Development.

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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