D. Cabello
Impact in
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- Medical Image Segmentation Techniques
- Instrumentation top 10%
Papers in
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- CCD and CMOS Imaging Sensors 25
- Advanced Memory and Neural Computing 20
- Advancements in Semiconductor Devices and Circuit Design 9
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- Neural Networks and Applications 21
- AI in cancer detection 10
- Co-authors
- V.M. Brea (54 shared papers)P. López (59 shared papers)Marı́a J. Carreira (14 shared papers)A. Mosquera (13 shared papers)Manuel G. Penedo (11 shared papers)Senén Barro (7 shared papers)R. Ruı́z (5 shared papers)D.L. Vilariño (24 shared papers)
In The Last Decade
D. Cabello
106 papers receiving 959 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 220
- Instrumentation 27
- Cardiology and Cardiovascular Medicine 148
- Radiology, Nuclear Medicine and Imaging 148
- Artificial Intelligence 221
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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 159 | |
| 2 | 1989 | 135 | |
| 3 | 2001 | 39 | |
| 4 | 1998 | 38 | |
| 5 | 2003 | 33 | |
| 6 | 1991 | 31 | |
| 7 | 1998 | 30 | |
| 8 | 2015 | 26 | |
| 9 | 2018 | 25 | |
| 10 | 2021 | 24 | |
| 11 | 2019 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2004 | 21 | |
| 14 | 1997 | 19 | |
| 15 | 2012 | 19 | |
| 16 | 2016 | 18 | |
| 17 | 2005 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2002 | 13 | |
| 20 | 2002 | 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 118 papers that have together received 1.0k indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (25 papers), Neural Networks and Applications (21 papers), Advanced Memory and Neural Computing (20 papers), Neural Networks Stability and Synchronization (18 papers), Medical Image Segmentation Techniques (15 papers), AI in cancer detection (10 papers), Cellular Automata and Applications (9 papers) and Advancements in Semiconductor Devices and Circuit Design (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (220 citations), Instrumentation (27 citations), Cardiology and Cardiovascular Medicine (148 citations), Radiology, Nuclear Medicine and Imaging (148 citations) and Artificial Intelligence (221 citations). D. Cabello has collaborated with scholars based in Spain, Germany and Chile. Frequent co-authors include V.M. Brea, P. López, Marı́a J. Carreira, A. Mosquera, Manuel G. Penedo, Senén Barro, R. Ruı́z, 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 Transactions on Power Electronics, Image and Vision Computing and IEEE Sensors Journal.
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.