Rafael Arnay
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
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- Digital Imaging for Blood Diseases
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 5
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- Robotics and Sensor-Based Localization 6
- Co-authors
- José Sigut (6 shared papers)Francisco Fumero (5 shared papers)Leopoldo Sánchez (10 shared papers)Jonay Toledo (9 shared papers)Silvia Alayón (4 shared papers)M. Sigut (5 shared papers)Evelio J. González (3 shared papers)Coromoto León (2 shared papers)
In The Last Decade
Rafael Arnay
30 papers receiving 424 citations
Peers
Comparison fields: 5 of 90
- Ophthalmology 91
- Computer Vision and Pattern Recognition 161
- Radiology, Nuclear Medicine and Imaging 139
- Health Informatics 7
- Human-Computer Interaction 29
Countries citing papers authored by Rafael Arnay
This map shows the geographic impact of Rafael Arnay'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 Rafael Arnay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Arnay more than expected).
Fields of papers citing papers by Rafael Arnay
This network shows the impact of papers produced by Rafael Arnay. 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 Rafael Arnay. The network helps show where Rafael Arnay may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafael Arnay, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2016 | 43 | |
| 3 | 2020 | 37 | |
| 4 | 2016 | 33 | |
| 5 | 2018 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2020 | 20 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2016 | 14 | |
| 13 | 2008 | 13 | |
| 14 | 2011 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2020 | 5 |
About Rafael Arnay
Rafael Arnay is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 33 papers that have together received 436 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Retinal Imaging and Analysis (5 papers), Robotic Path Planning Algorithms (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Glaucoma and retinal disorders (4 papers), Knowledge Societies in the 21st Century (2 papers), Risk and Safety Analysis (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Ophthalmology (91 citations), Computer Vision and Pattern Recognition (161 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Health Informatics (7 citations) and Human-Computer Interaction (29 citations). Rafael Arnay has collaborated with scholars based in Spain and Portugal. Frequent co-authors include José Sigut, Francisco Fumero, Leopoldo Sánchez, Jonay Toledo, Silvia Alayón, M. Sigut, Evelio J. González, Coromoto León, Eduardo Segredo and José M. González-Cava. Their work appears in journals such as PLoS ONE, Sensors, Engineering Applications of Artificial Intelligence, IEEE Sensors Journal and Applied Soft Computing.
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.