Débora Gil
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
- Advanced MRI Techniques and Applications 9
- Surgery 25
- Coronary Interventions and Diagnostics 13
- Co-authors
- F. Javier Sánchez (3 shared papers)Jorge Bernal (2 shared papers)Fernando Vilariño (2 shared papers)Cristina Rodríguez de Miguel (1 shared paper)Glòria Fernández‐Esparrach (1 shared paper)Petia Radeva (17 shared papers)Aura Hernández-Sabaté (20 shared papers)Enric Martı́ (7 shared papers)
- Journals
- IEEE Access (5 papers)IEEE Transactions on Medical Imaging (4 papers)Journal of Thoracic Oncology (3 papers)Respiration (3 papers)International Journal of Computer Assisted Radiology and Surgery (3 papers)
- Partner nations
- SpainUnited KingdomFrance
In The Last Decade
Débora Gil
102 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 749
- Radiology, Nuclear Medicine and Imaging 694
- Oncology 492
- Media Technology 136
- Artificial Intelligence 484
Countries citing papers authored by Débora Gil
This map shows the geographic impact of Débora Gil'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 Débora Gil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Débora Gil more than expected).
Fields of papers citing papers by Débora Gil
This network shows the impact of papers produced by Débora Gil. 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 Débora Gil. The network helps show where Débora Gil may publish in the future.
Co-authors
The 25 scholars most cited alongside Débora Gil, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians Hit paper breakdown → | 2015 | 1095 |
| 2 | 2004 | 71 | |
| 3 | 2006 | 67 | |
| 4 | 2006 | 42 | |
| 5 | 2013 | 38 | |
| 6 | 2011 | 38 | |
| 7 | 2013 | 34 | |
| 8 | 2007 | 27 | |
| 9 | 2011 | 27 | |
| 10 | 2006 | 26 | |
| 11 | 2006 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2010 | 21 | |
| 14 | 2018 | 21 | |
| 15 | 2010 | 21 | |
| 16 | 2013 | 19 | |
| 17 | 2003 | 18 | |
| 18 | 2002 | 18 | |
| 19 | 2009 | 17 | |
| 20 | 2008 | 15 |
About Débora Gil
Débora Gil is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 106 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Lung Cancer Diagnosis and Treatment (16 papers), Coronary Interventions and Diagnostics (13 papers), Cardiovascular Function and Risk Factors (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced MRI Techniques and Applications (9 papers), Tracheal and airway disorders (7 papers) and Elasticity and Material Modeling (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (749 citations), Radiology, Nuclear Medicine and Imaging (694 citations), Oncology (492 citations), Media Technology (136 citations) and Artificial Intelligence (484 citations). Débora Gil has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include F. Javier Sánchez, Jorge Bernal, Fernando Vilariño, Cristina Rodríguez de Miguel, Glòria Fernández‐Esparrach, Petia Radeva, Aura Hernández-Sabaté, Enric Martı́, Francesc Carreras and Manel Ballester. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging, Journal of Thoracic Oncology, Respiration and International Journal of Computer Assisted Radiology and Surgery.
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.