Eduardo Ros
Impact in
- Neurology top 1%
- Vestibular and auditory disorders
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
Papers in
- Neurology 24
- Vestibular and auditory disorders 23
-
- Advanced Vision and Imaging 45
- Co-authors
- Javier DíazJesús A. GarridoNiceto R. LuqueRichard R. CarrilloEva M. OrtigosaFrancisco PelayoEgidio D’AngeloA. Prieto
- Journals
- International Journal of Neural Systems (6 papers)Sensors (5 papers)IEEE Transactions on Circuits and Systems for Video Technology (5 papers)Biosystems (5 papers)Neurocomputing (4 papers)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Eduardo Ros
140 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 174
- Neurology 541
- Cognitive Neuroscience 956
- Computer Vision and Pattern Recognition 948
- Sensory Systems 194
- Endocrine and Autonomic Systems 195
Countries citing papers authored by Eduardo Ros
This map shows the geographic impact of Eduardo Ros'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 Eduardo Ros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Ros more than expected).
Fields of papers citing papers by Eduardo Ros
This network shows the impact of papers produced by Eduardo Ros. 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 Eduardo Ros. The network helps show where Eduardo Ros may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eduardo Ros, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 2 | |
| 5 | 2019 | 15 | |
| 6 | 2017 | 23 | |
| 7 | 2014 | 10 | |
| 8 | 2011 | 30 | |
| 9 | 2009 | 21 | |
| 10 | 2009 | 90 | |
| 11 | 2008 | 12 | |
| 12 | A low level real-time vision system using specific computing architectures | 2006 | 1 |
| 13 | 2006 | 17 | |
| 14 | 2006 | 56 | |
| 15 | 2006 | 61 | |
| 16 | 2005 | 47 | |
| 17 | 2005 | 27 | |
| 18 | 2002 | 3 | |
| 19 | Microelectronics for Neural, Fuzzy and Bio-inspired Systems | 1999 | 2 |
| 20 | 1999 | 9 |
About Eduardo Ros
Eduardo Ros is a scholar working on Neurology, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology and Sensory Systems, having authored 144 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (45 papers), Neural dynamics and brain function (34 papers), Advanced Memory and Neural Computing (24 papers), Vestibular and auditory disorders (23 papers), CCD and CMOS Imaging Sensors (21 papers), Image Processing Techniques and Applications (19 papers), Neuroscience and Neural Engineering (15 papers) and Neural Networks and Applications (11 papers). The work is most often cited by research in Neurology (541 citations), Cognitive Neuroscience (956 citations), Computer Vision and Pattern Recognition (948 citations), Sensory Systems (194 citations) and Endocrine and Autonomic Systems (195 citations). Eduardo Ros has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Javier Díaz, Jesús A. Garrido, Niceto R. Luque, Richard R. Carrillo, Eva M. Ortigosa, Francisco Pelayo, Egidio D’Angelo, A. Prieto, Sonia Mota and Francisco Barranco. Their work appears in journals such as International Journal of Neural Systems, Sensors, IEEE Transactions on Circuits and Systems for Video Technology, Biosystems and Neurocomputing.
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.