Diego Cabello
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 19
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- CCD and CMOS Imaging Sensors 17
- Advanced Memory and Neural Computing 9
- Embedded Systems and FPGA Applications 8
- Co-authors
- V.M. Brea (55 shared papers)Paula Lopez (59 shared papers)Marı́a J. Carreira (14 shared papers)A. Mosquera (13 shared papers)Manuel G. Penedo (11 shared papers)D.L. Vilariño (25 shared papers)Senén Barro (7 shared papers)R. Ruı́z (5 shared papers)
In The Last Decade
Diego Cabello
107 papers receiving 966 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 274
- Instrumentation 24
- Artificial Intelligence 208
- Cardiology and Cardiovascular Medicine 141
- Biomedical Engineering 158
Countries citing papers authored by Diego Cabello
This map shows the geographic impact of Diego Cabello'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 Diego Cabello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Cabello more than expected).
Fields of papers citing papers by Diego Cabello
This network shows the impact of papers produced by Diego Cabello. 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 Diego Cabello. The network helps show where Diego Cabello may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Cabello, 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 158 | |
| 2 | 1989 | 133 | |
| 3 | 2001 | 39 | |
| 4 | 1998 | 37 | |
| 5 | 1991 | 33 | |
| 6 | 2003 | 33 | |
| 7 | 1998 | 29 | |
| 8 | 2021 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2018 | 26 | |
| 11 | 2019 | 25 | |
| 12 | 2017 | 23 | |
| 13 | 2004 | 21 | |
| 14 | 2016 | 20 | |
| 15 | 1997 | 19 | |
| 16 | 2012 | 19 | |
| 17 | 2002 | 13 | |
| 18 | 2002 | 13 | |
| 19 | 2005 | 13 | |
| 20 | 2016 | 12 |
About Diego Cabello
Diego Cabello is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture, Biomedical Engineering and Artificial Intelligence, having authored 116 papers that have together received 1k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (26 papers), Medical Image Segmentation Techniques (19 papers), CCD and CMOS Imaging Sensors (17 papers), Neural Networks and Applications (12 papers), Embedded Systems Design Techniques (11 papers), Advanced Memory and Neural Computing (9 papers), Embedded Systems and FPGA Applications (8 papers) and Geophysical Methods and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (274 citations), Instrumentation (24 citations), Artificial Intelligence (208 citations), Cardiology and Cardiovascular Medicine (141 citations) and Biomedical Engineering (158 citations). Diego Cabello has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include V.M. Brea, Paula Lopez, Marı́a J. Carreira, A. Mosquera, Manuel G. Penedo, D.L. Vilariño, Senén Barro, R. Ruı́z, José Mira and Xosé M. Pardo. Their work appears in journals such as International Journal of Circuit Theory and Applications, Pattern Recognition Letters, Image and Vision Computing, IEEE Sensors Journal and Semiconductor Science and Technology.
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.