R. Chaves
Impact in
- Neurology top 2%
- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
-
- Image Retrieval and Classification Techniques 13
- Face and Expression Recognition 8
- Medical Image Segmentation Techniques 7
- Neurology 11
- Brain Tumor Detection and Classification 9
- Co-authors
- Javier Ramı́rez (27 shared papers)J. M. Górriz (27 shared papers)D. Salas‐Gonzalez (24 shared papers)F. Segovia (22 shared papers)M. López (21 shared papers)I. Álvarez (13 shared papers)Carlos G. Puntonet (9 shared papers)Pablo Padilla (11 shared papers)
In The Last Decade
R. Chaves
28 papers receiving 993 citations
Peers
Comparison fields: 5 of 102
- Neurology 379
- Health Information Management 122
- Psychiatry and Mental health 234
- Computer Vision and Pattern Recognition 350
- Computational Mathematics 6
Countries citing papers authored by R. Chaves
This map shows the geographic impact of R. Chaves'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 R. Chaves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Chaves more than expected).
Fields of papers citing papers by R. Chaves
This network shows the impact of papers produced by R. Chaves. 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 R. Chaves. The network helps show where R. Chaves may publish in the future.
Co-authors
The 14 scholars most cited alongside R. Chaves, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 123 | |
| 2 | 2009 | 107 | |
| 3 | 2010 | 103 | |
| 4 | 2010 | 97 | |
| 5 | 2009 | 97 | |
| 6 | 2010 | 60 | |
| 7 | 2010 | 59 | |
| 8 | 2012 | 53 | |
| 9 | 2011 | 52 | |
| 10 | 2010 | 45 | |
| 11 | 2012 | 35 | |
| 12 | 2010 | 32 | |
| 13 | 2011 | 30 | |
| 14 | 2009 | 30 | |
| 15 | 2010 | 20 | |
| 16 | 2012 | 14 | |
| 17 | 2010 | 13 | |
| 18 | 2009 | 11 | |
| 19 | 2012 | 11 | |
| 20 | 2009 | 9 |
About R. Chaves
R. Chaves is a scholar working on Computer Vision and Pattern Recognition, Neurology, Physiology, Molecular Biology and Artificial Intelligence, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (13 papers), Alzheimer's disease research and treatments (9 papers), Brain Tumor Detection and Classification (9 papers), Face and Expression Recognition (8 papers), Medical Image Segmentation Techniques (7 papers), Spectroscopy and Chemometric Analyses (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Neurology (379 citations), Health Information Management (122 citations), Psychiatry and Mental health (234 citations), Computer Vision and Pattern Recognition (350 citations) and Computational Mathematics (6 citations). R. Chaves has collaborated with scholars based in Spain, Germany and Brazil. Frequent co-authors include Javier Ramı́rez, J. M. Górriz, D. Salas‐Gonzalez, F. Segovia, M. López, I. Álvarez, Carlos G. Puntonet, Pablo Padilla, Manuel Gómez-Río and Elmar W. Lang. Their work appears in journals such as Neurocomputing, Physics in Medicine and Biology, Electronics Letters, Expert Systems with Applications and Medical Physics.
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.