J Vidal
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Digital Radiography and Breast Imaging 10
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- Medical Image Segmentation Techniques 6
- Image and Signal Denoising Methods 6
- Advanced Data Compression Techniques 6
- Co-authors
- Pablo G. Tahoces (29 shared papers)Miguel Souto (28 shared papers)Arturo J. Méndez (10 shared papers)Marı́a J. Lado (13 shared papers)Celia Varela (2 shared papers)Manuel G. Penedo (3 shared papers)William A. Pearlman (1 shared paper)C. González (1 shared paper)
- Journals
- Medical Physics (4 papers)Computer Methods and Programs in Biomedicine (3 papers)IEEE Transactions on Medical Imaging (2 papers)European Radiology (2 papers)Computers in Biology and Medicine (2 papers)
- Partner nations
- SpainFranceUnited States
In The Last Decade
J Vidal
45 papers receiving 859 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 435
- Radiology, Nuclear Medicine and Imaging 329
- Artificial Intelligence 500
- Media Technology 116
- Biophysics 53
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 116 | |
| 2 | 1998 | 111 | |
| 3 | 2006 | 103 | |
| 4 | 1991 | 64 | |
| 5 | 2003 | 63 | |
| 6 | 2009 | 58 | |
| 7 | 2012 | 55 | |
| 8 | 1995 | 53 | |
| 9 | 1999 | 47 | |
| 10 | 2005 | 45 | |
| 11 | 1998 | 38 | |
| 12 | 2011 | 20 | |
| 13 | 1997 | 16 | |
| 14 | 2006 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 1994 | 10 | |
| 17 | 1999 | 10 | |
| 18 | 1992 | 10 | |
| 19 | 2003 | 9 | |
| 20 | 2014 | 7 |
About J Vidal
J Vidal is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Surgery, having authored 48 papers that have together received 938 indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Digital Radiography and Breast Imaging (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Image Segmentation Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Advanced Data Compression Techniques (6 papers), Medical Imaging Techniques and Applications (5 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (435 citations), Radiology, Nuclear Medicine and Imaging (329 citations), Artificial Intelligence (500 citations), Media Technology (116 citations) and Biophysics (53 citations). J Vidal has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Pablo G. Tahoces, Miguel Souto, Arturo J. Méndez, Marı́a J. Lado, Celia Varela, Manuel G. Penedo, William A. Pearlman, C. González, Luis Héctor Hernández-Gómez and José M. Carreira. Their work appears in journals such as Medical Physics, Computer Methods and Programs in Biomedicine, IEEE Transactions on Medical Imaging, European Radiology and Computers in Biology and Medicine.
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.