Alejandro F. Frangi
- Computer Vision and Pattern Recognition top 0.05%
- Medical Image Segmentation Techniques 111
- Computational Mathematics top 1%
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- Advanced MRI Techniques and Applications 62
- Radiomics and Machine Learning in Medical Imaging 54
- Medical Imaging Techniques and Applications 41
- Cardiac Imaging and Diagnostics 39
- Neurology top 0.5%
- Intracranial Aneurysms: Treatment and Complications 70
- Media Technology top 0.2%
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- Cerebrovascular and Carotid Artery Diseases 68
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- Cardiovascular Function and Risk Factors 38
- Co-authors
- Jian YangJingyu YangDavid ZhangNassir NavabJoachim HorneggerWilliam M. WellsWiro J. NiessenMax A. Viergever
- Cited by
- Computer Vision and Pattern RecognitionComputational MathematicsRadiology, Nuclear Medicine and Imaging
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (5 papers)PLoS ONE (4 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Alejandro F. Frangi
468 papers receiving 16.5k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Computer Vision and Pattern Recognition 6.7k
- Computational Mathematics 136
- Radiology, Nuclear Medicine and Imaging 4.4k
- Neurology 2.0k
- Media Technology 1.1k
Countries citing papers authored by Alejandro F. Frangi
This map shows the geographic impact of Alejandro F. Frangi'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 Alejandro F. Frangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro F. Frangi more than expected).
Fields of papers citing papers by Alejandro F. Frangi
This network shows the impact of papers produced by Alejandro F. Frangi. 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 Alejandro F. Frangi. The network helps show where Alejandro F. Frangi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alejandro F. Frangi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 24 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 47 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 22 | |
| 16 | 2020 | 83 | |
| 17 | 2020 | 61 | |
| 18 | 2020 | 54 | |
| 19 | 2019 | 9 | |
| 20 | 2017 | 60 |
About Alejandro F. Frangi
Alejandro F. Frangi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 492 papers that have together received 17.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (111 papers), Intracranial Aneurysms: Treatment and Complications (70 papers), Cerebrovascular and Carotid Artery Diseases (68 papers), Advanced MRI Techniques and Applications (62 papers), Radiomics and Machine Learning in Medical Imaging (54 papers), Medical Imaging Techniques and Applications (41 papers), Cardiac Imaging and Diagnostics (39 papers) and Cardiovascular Function and Risk Factors (38 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.7k citations), Computational Mathematics (136 citations) and Radiology, Nuclear Medicine and Imaging (4.4k citations). Alejandro F. Frangi has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Jian Yang, Jingyu Yang, David Zhang, Nassir Navab, Joachim Hornegger, William M. Wells, Wiro J. Niessen, Max A. Viergever, Julia A. Schnabel and Daniel Rueckert. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.