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
- Video Surveillance and Tracking Methods 2
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- Robotics and Sensor-Based Localization 6
- Co-authors
- José Sigut (5 shared papers)Leopoldo Sánchez (11 shared papers)Jonay Toledo (9 shared papers)Francisco Fumero (4 shared papers)Silvia Alayón (3 shared papers)M. Sigut (5 shared papers)Evelio J. González (3 shared papers)Eduardo Segredo (2 shared papers)
In The Last Decade
Rafael Arnay
27 papers receiving 399 citations
Peers
Comparison fields: 5 of 95
- Ophthalmology 95
- Computer Vision and Pattern Recognition 160
- Radiology, Nuclear Medicine and Imaging 134
- Human-Computer Interaction 29
- Health Informatics 6
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2016 | 43 | |
| 3 | 2020 | 34 | |
| 4 | 2016 | 33 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 24 | |
| 7 | 2020 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2008 | 13 | |
| 13 | 2016 | 13 | |
| 14 | 2011 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2015 | 8 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2012 | 4 |
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 30 papers that have together received 412 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Retinal Imaging and Analysis (4 papers), Glaucoma and retinal disorders (3 papers), Knowledge Societies in the 21st Century (2 papers), Semantic Web and Ontologies (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Ophthalmology (95 citations), Computer Vision and Pattern Recognition (160 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Human-Computer Interaction (29 citations) and Health Informatics (6 citations). Rafael Arnay has collaborated with scholars based in Spain and Portugal. Frequent co-authors include José Sigut, Leopoldo Sánchez, Jonay Toledo, Francisco Fumero, Silvia Alayón, M. Sigut, Evelio J. González, Eduardo Segredo, Coromoto León and José M. González-Cava. Their work appears in journals such as Sensors, Engineering Applications of Artificial Intelligence, IEEE Sensors Journal, Applied Soft Computing and Image and Vision 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.