A. Mosquera
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
Papers in
-
- Ocular Surface and Contact Lens 15
-
- Glaucoma and retinal disorders 11
- Co-authors
- Manuel G. Penedo (20 shared papers)Marı́a J. Carreira (10 shared papers)D. Cabello (10 shared papers)Beatriz Remeseiro (9 shared papers)N. Barreira (11 shared papers)Carlos García‐Resúa (5 shared papers)Xosé M. Pardo (1 shared paper)Eva Yebra‐Pimentel (4 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (2 papers)Computer Methods and Programs in Biomedicine (2 papers)Artificial Intelligence in Medicine (1 paper)Medical Physics (1 paper)Journal of Hypertension (1 paper)
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
A. Mosquera
32 papers receiving 440 citations
Peers
Comparison fields: 5 of 79
- Ophthalmology 146
- Radiology, Nuclear Medicine and Imaging 215
- Computer Vision and Pattern Recognition 111
- Immunology and Allergy 30
- Public Health, Environmental and Occupational Health 129
Countries citing papers authored by A. Mosquera
This map shows the geographic impact of A. Mosquera'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 A. Mosquera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Mosquera more than expected).
Fields of papers citing papers by A. Mosquera
This network shows the impact of papers produced by A. Mosquera. 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 A. Mosquera. The network helps show where A. Mosquera may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Mosquera, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 148 | |
| 2 | 2001 | 37 | |
| 3 | 1998 | 35 | |
| 4 | 2014 | 34 | |
| 5 | 2005 | 32 | |
| 6 | 2012 | 20 | |
| 7 | 2013 | 19 | |
| 8 | 2013 | 18 | |
| 9 | 2015 | 16 | |
| 10 | 2016 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2011 | 11 | |
| 13 | 2011 | 10 | |
| 14 | 2002 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 1999 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 1996 | 5 | |
| 19 | 2014 | 5 | |
| 20 | 2012 | 4 |
About A. Mosquera
A. Mosquera is a scholar working on Public Health, Environmental and Occupational Health, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 34 papers that have together received 466 indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (15 papers), Glaucoma and retinal disorders (11 papers), Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (6 papers), AI in cancer detection (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), COVID-19 diagnosis using AI (3 papers) and Corneal surgery and disorders (3 papers). The work is most often cited by research in Ophthalmology (146 citations), Radiology, Nuclear Medicine and Imaging (215 citations), Computer Vision and Pattern Recognition (111 citations), Immunology and Allergy (30 citations) and Public Health, Environmental and Occupational Health (129 citations). A. Mosquera has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Manuel G. Penedo, Marı́a J. Carreira, D. Cabello, Beatriz Remeseiro, N. Barreira, Carlos García‐Resúa, Xosé M. Pardo, Eva Yebra‐Pimentel, Noelia Sánchez‐Maroño and Lucía Ramos. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Computer Methods and Programs in Biomedicine, Artificial Intelligence in Medicine, Medical Physics and Journal of Hypertension.
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.