Germán Ros
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Media Technology top 1%
- Remote-Sensing Image Classification
Papers in
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- Video Surveillance and Tracking Methods 6
- Advanced Vision and Imaging 5
- Advanced Image and Video Retrieval Techniques 3
- Geology 2
- 3D Surveying and Cultural Heritage 2
- Co-authors
- Antonio M. LópezDavid VázquezJoanna MaterzyńskaPablo F. AlcantarillaRiccardo GherardiRoberto ArroyoSimon StentSebastian Ramos
- Journals
- Image and Vision Computing (1 paper)Autonomous Robots (1 paper)Neurocomputing (1 paper)Research Repository (Kingston University London) (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Germán Ros
12 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 1.3k
- Media Technology 269
- Artificial Intelligence 609
- Geology 83
- Automotive Engineering 154
Countries citing papers authored by Germán Ros
This map shows the geographic impact of Germán 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 Germán Ros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Ros more than expected).
Fields of papers citing papers by Germán Ros
This network shows the impact of papers produced by Germán 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 Germán Ros. The network helps show where Germán Ros may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Germán 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 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2018 | 227 | |
| 4 | 2017 | 6 | |
| 5 | 2017 | 1 | |
| 6 | The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes Hit paper breakdown → | 2016 | 1338 |
| 7 | 2016 | 44 | |
| 8 | 2015 | 21 | |
| 9 | 2015 | 81 | |
| 10 | 2013 | 3 | |
| 11 | 2013 | 1 | |
| 12 | Articulated particle filter for hand tracking | 2012 | 3 |
About Germán Ros
Germán Ros is a scholar working on Computer Vision and Pattern Recognition, Geology, Computer Graphics and Computer-Aided Design, Media Technology and Environmental Engineering, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Vision and Imaging (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Robotics and Sensor-Based Localization (3 papers), 3D Surveying and Cultural Heritage (2 papers), Remote Sensing and LiDAR Applications (2 papers), Remote-Sensing Image Classification (2 papers) and Speech and Audio Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (269 citations), Artificial Intelligence (609 citations), Geology (83 citations) and Automotive Engineering (154 citations). Germán Ros has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Antonio M. López, David Vázquez, Joanna Materzyńska, Pablo F. Alcantarilla, Riccardo Gherardi, Roberto Arroyo, Simon Stent, Sebastian Ramos, Amir Hoshang Bakhtiary and José M. Alvarez. Their work appears in journals such as Image and Vision Computing, Autonomous Robots, Neurocomputing and Research Repository (Kingston University London).
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.