D. Cabello
Impact in
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- Medical Image Segmentation Techniques
Papers in
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- CCD and CMOS Imaging Sensors 25
- Advanced Memory and Neural Computing 18
- Advancements in Semiconductor Devices and Circuit Design 9
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- Neural Networks and Applications 18
- AI in cancer detection 8
- Co-authors
- V.M. Brea (52 shared papers)P. López (57 shared papers)A. Mosquera (10 shared papers)Marı́a J. Carreira (11 shared papers)Manuel G. Penedo (7 shared papers)R. Ruı́z (5 shared papers)Senén Barro (5 shared papers)D.L. Vilariño (21 shared papers)
In The Last Decade
D. Cabello
97 papers receiving 887 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 192
- Instrumentation 24
- Media Technology 57
- Artificial Intelligence 205
- Cardiology and Cardiovascular Medicine 145
Countries citing papers authored by D. Cabello
This map shows the geographic impact of D. 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 D. Cabello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Cabello more than expected).
Fields of papers citing papers by D. Cabello
This network shows the impact of papers produced by D. 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 D. Cabello. The network helps show where D. Cabello may publish in the future.
Co-authors
The 25 scholars most cited alongside D. 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 148 | |
| 2 | 1989 | 129 | |
| 3 | 2001 | 37 | |
| 4 | 1998 | 35 | |
| 5 | 2004 | 27 | |
| 6 | 2003 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 1991 | 24 | |
| 9 | 1998 | 23 | |
| 10 | 2019 | 23 | |
| 11 | 2015 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2017 | 21 | |
| 14 | 2004 | 19 | |
| 15 | 2012 | 19 | |
| 16 | 2016 | 18 | |
| 17 | 1997 | 16 | |
| 18 | 2016 | 13 | |
| 19 | 2002 | 13 | |
| 20 | 2005 | 12 |
About D. Cabello
D. Cabello is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Biomedical Engineering, having authored 108 papers that have together received 947 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (25 papers), Advanced Memory and Neural Computing (18 papers), Neural Networks and Applications (18 papers), Neural Networks Stability and Synchronization (16 papers), Medical Image Segmentation Techniques (11 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Image Processing Techniques and Applications (8 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (192 citations), Instrumentation (24 citations), Media Technology (57 citations), Artificial Intelligence (205 citations) and Cardiology and Cardiovascular Medicine (145 citations). D. Cabello has collaborated with scholars based in Spain, Germany and Chile. Frequent co-authors include V.M. Brea, P. López, A. Mosquera, Marı́a J. Carreira, Manuel G. Penedo, R. Ruı́z, Senén Barro, D.L. Vilariño, José Mira and Xosé M. Pardo. Their work appears in journals such as International Journal of Circuit Theory and Applications, Pattern Recognition Letters, IEEE Sensors Journal, Image and Vision Computing 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.