J Vidal
Impact in
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- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in
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- Digital Radiography and Breast Imaging 8
- Lung Cancer Diagnosis and Treatment 4
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- Advanced Data Compression Techniques 7
- Image and Signal Denoising Methods 6
- Image Retrieval and Classification Techniques 3
- Co-authors
- Pablo G. Tahoces (25 shared papers)Miguel Souto (24 shared papers)Arturo J. Méndez (7 shared papers)Marı́a J. Lado (9 shared papers)Manuel G. Penedo (4 shared papers)Celia Varela (1 shared paper)William A. Pearlman (1 shared paper)Luis Héctor Hernández-Gómez (1 shared paper)
- Journals
- Medical Physics (4 papers)Telemedicine Journal and e-Health (2 papers)Computer Methods and Programs in Biomedicine (2 papers)European Radiology (2 papers)IEEE Transactions on Medical Imaging (2 papers)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
J Vidal
39 papers receiving 762 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 395
- Artificial Intelligence 475
- Radiology, Nuclear Medicine and Imaging 319
- Media Technology 106
- Biophysics 52
Countries citing papers authored by J Vidal
This map shows the geographic impact of J Vidal'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 J Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Vidal more than expected).
Fields of papers citing papers by J Vidal
This network shows the impact of papers produced by J Vidal. 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 J Vidal. The network helps show where J Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside J Vidal, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 101 | |
| 2 | 1998 | 97 | |
| 3 | 2006 | 90 | |
| 4 | 1991 | 60 | |
| 5 | 2003 | 58 | |
| 6 | 2012 | 53 | |
| 7 | 2009 | 53 | |
| 8 | 1995 | 49 | |
| 9 | 2005 | 43 | |
| 10 | 1999 | 40 | |
| 11 | 1998 | 33 | |
| 12 | 2011 | 20 | |
| 13 | 1997 | 15 | |
| 14 | 1992 | 10 | |
| 15 | 2012 | 9 | |
| 16 | 2006 | 9 | |
| 17 | 2003 | 9 | |
| 18 | 1994 | 9 | |
| 19 | 1999 | 7 | |
| 20 | 2014 | 7 |
About J Vidal
J Vidal is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 40 papers that have together received 832 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Digital Radiography and Breast Imaging (8 papers), Advanced Data Compression Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (395 citations), Artificial Intelligence (475 citations), Radiology, Nuclear Medicine and Imaging (319 citations), Media Technology (106 citations) and Biophysics (52 citations). J Vidal has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Pablo G. Tahoces, Miguel Souto, Arturo J. Méndez, Marı́a J. Lado, Manuel G. Penedo, Celia Varela, William A. Pearlman, Luis Héctor Hernández-Gómez, José M. Carreira and C. González. Their work appears in journals such as Medical Physics, Telemedicine Journal and e-Health, Computer Methods and Programs in Biomedicine, European Radiology and IEEE Transactions on Medical Imaging.
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.