Iván Macía
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Medical Image Segmentation Techniques 9
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- Aortic aneurysm repair treatments 12
- Cerebrovascular and Carotid Artery Diseases 4
- Co-authors
- Karen López‐Linares (20 shared papers)Miguel Ángel González Ballester (11 shared papers)Grégory Maclair (4 shared papers)Manuel M Graña Romay (9 shared papers)Mario Ceresa (3 shared papers)Hui Wang (2 shared papers)Reyer Zwiggelaar (1 shared paper)Bryan W. Scotney (2 shared papers)
- Journals
- Medical Image Analysis (3 papers)Lecture notes in computer science (13 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Computers in Biology and Medicine (1 paper)Computerized Medical Imaging and Graphics (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Iván Macía
44 papers receiving 454 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 126
- Radiology, Nuclear Medicine and Imaging 119
- Pulmonary and Respiratory Medicine 147
- Oral Surgery 31
- Artificial Intelligence 123
Countries citing papers authored by Iván Macía
This map shows the geographic impact of Iván Macía'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 Iván Macía with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Macía more than expected).
Fields of papers citing papers by Iván Macía
This network shows the impact of papers produced by Iván Macía. 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 Iván Macía. The network helps show where Iván Macía may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván Macía, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2019 | 68 | |
| 3 | 2009 | 25 | |
| 4 | 2019 | 21 | |
| 5 | 2020 | 15 | |
| 6 | 2009 | 14 | |
| 7 | 2018 | 14 | |
| 8 | 2011 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2004 | 12 | |
| 11 | 2023 | 12 | |
| 12 | 2011 | 10 | |
| 13 | 2010 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2025 | 8 | |
| 16 | 2004 | 8 | |
| 17 | 2007 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2019 | 6 |
About Iván Macía
Iván Macía is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Human-Computer Interaction, having authored 45 papers that have together received 462 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (12 papers), Medical Image Segmentation Techniques (9 papers), Advanced X-ray and CT Imaging (8 papers), AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Medical Imaging and Analysis (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (126 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Pulmonary and Respiratory Medicine (147 citations), Oral Surgery (31 citations) and Artificial Intelligence (123 citations). Iván Macía has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Karen López‐Linares, Miguel Ángel González Ballester, Grégory Maclair, Manuel M Graña Romay, Mario Ceresa, Hui Wang, Reyer Zwiggelaar, Bryan W. Scotney, Philip Morrow and Andrik Rampun. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science, Frontiers in Bioengineering and Biotechnology, Computers in Biology and Medicine and Computerized Medical Imaging and Graphics.
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.