M. Rincón
Impact in
- Ophthalmology top 2%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
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- Retinal Imaging and Analysis
Papers in
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- Video Surveillance and Tracking Methods 4
- Human Pose and Action Recognition 3
- Visual Attention and Saliency Detection 2
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- Biomedical Text Mining and Ontologies 5
- Bioinformatics and Genomic Networks 3
- Co-authors
- Enrique J. Carmona (3 shared papers)J.M. Martínez-de-la-Casa (1 shared paper)Rafael Martínez‐Tomás (11 shared papers)José Mira (3 shared papers)Tormod Fladby (3 shared papers)Herminia Peraita (1 shared paper)Atle Bjørnerud (3 shared papers)Per Selnes (2 shared papers)
In The Last Decade
M. Rincón
22 papers receiving 351 citations
Peers
Comparison fields: 5 of 64
- Ophthalmology 193
- Radiology, Nuclear Medicine and Imaging 235
- Computer Vision and Pattern Recognition 172
- Health Informatics 4
- Neurology 22
Countries citing papers authored by M. Rincón
This map shows the geographic impact of M. Rincón'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 M. Rincón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rincón more than expected).
Fields of papers citing papers by M. Rincón
This network shows the impact of papers produced by M. Rincón. 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 M. Rincón. The network helps show where M. Rincón may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Rincón, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 222 | |
| 2 | 2021 | 32 | |
| 3 | 2015 | 15 | |
| 4 | 2007 | 14 | |
| 5 | 2017 | 13 | |
| 6 | 2015 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 7 | |
| 9 | 2015 | 6 | |
| 10 | 2008 | 6 | |
| 11 | 2011 | 5 | |
| 12 | 2010 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2005 | 4 | |
| 15 | 2013 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About M. Rincón
M. Rincón is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Cognitive Neuroscience and Psychiatry and Mental health, having authored 23 papers that have together received 365 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (5 papers), Biomedical Text Mining and Ontologies (5 papers), Video Surveillance and Tracking Methods (4 papers), Semantic Web and Ontologies (3 papers), Human Pose and Action Recognition (3 papers), Bioinformatics and Genomic Networks (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Ophthalmology (193 citations), Radiology, Nuclear Medicine and Imaging (235 citations), Computer Vision and Pattern Recognition (172 citations), Health Informatics (4 citations) and Neurology (22 citations). M. Rincón has collaborated with scholars based in Spain, Norway and Australia. Frequent co-authors include Enrique J. Carmona, J.M. Martínez-de-la-Casa, Rafael Martínez‐Tomás, José Mira, Tormod Fladby, Herminia Peraita, Atle Bjørnerud, Per Selnes, José Guerrero-González and Erik Hessen. Their work appears in journals such as Frontiers in Neuroinformatics, Neurocomputing, Artificial Intelligence in Medicine, Methods of Information in Medicine and Expert Systems with Applications.
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.