Sergio Casas
Impact in
- Automotive Engineering top 0.1%
- Autonomous Vehicle Technology and Safety
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
Papers in
-
- Virtual Reality Applications and Impacts 25
- Interactive and Immersive Displays 13
-
- Autonomous Vehicle Technology and Safety 24
- Vehicle Dynamics and Control Systems 6
- Co-authors
- Raquel Urtasun (25 shared papers)Abbas Sadat (8 shared papers)Cristina Portalés (42 shared papers)Renjie Liao (4 shared papers)Marcos Fernández (31 shared papers)Wenyuan Zeng (3 shared papers)Cole Gulino (3 shared papers)Bin Yang (2 shared papers)
- Journals
- Applied Sciences (4 papers)Multimedia Tools and Applications (4 papers)Sensors (3 papers)Simulation Modelling Practice and Theory (2 papers)IEEE Transactions on Human-Machine Systems (2 papers)
- Partner nations
- SpainCanadaUnited States
In The Last Decade
Sergio Casas
87 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 91
- Automotive Engineering 1.5k
- Human-Computer Interaction 208
- Computer Vision and Pattern Recognition 558
- Artificial Intelligence 318
- Control and Systems Engineering 220
Countries citing papers authored by Sergio Casas
This map shows the geographic impact of Sergio Casas'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 Sergio Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Casas more than expected).
Fields of papers citing papers by Sergio Casas
This network shows the impact of papers produced by Sergio Casas. 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 Sergio Casas. The network helps show where Sergio Casas may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Casas, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 305 | |
| 2 | 2021 | 183 | |
| 3 | 2021 | 150 | |
| 4 | 2021 | 148 | |
| 5 | 2020 | 136 | |
| 6 | 2020 | 136 | |
| 7 | 2020 | 134 | |
| 8 | 2020 | 120 | |
| 9 | 2020 | 111 | |
| 10 | 2021 | 98 | |
| 11 | 2023 | 63 | |
| 12 | 2020 | 60 | |
| 13 | 2019 | 38 | |
| 14 | 2021 | 38 | |
| 15 | 2016 | 36 | |
| 16 | 2020 | 31 | |
| 17 | 2018 | 29 | |
| 18 | 2014 | 26 | |
| 19 | 2023 | 23 | |
| 20 | 2023 | 22 |
About Sergio Casas
Sergio Casas is a scholar working on Human-Computer Interaction, Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering and Geology, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (25 papers), Autonomous Vehicle Technology and Safety (24 papers), Augmented Reality Applications (20 papers), Simulation and Modeling Applications (15 papers), Interactive and Immersive Displays (13 papers), Vehicle Dynamics and Control Systems (6 papers), Advanced Neural Network Applications (5 papers) and Teleoperation and Haptic Systems (4 papers). The work is most often cited by research in Automotive Engineering (1.5k citations), Human-Computer Interaction (208 citations), Computer Vision and Pattern Recognition (558 citations), Artificial Intelligence (318 citations) and Control and Systems Engineering (220 citations). Sergio Casas has collaborated with scholars based in Spain, Canada and United States. Frequent co-authors include Raquel Urtasun, Abbas Sadat, Cristina Portalés, Renjie Liao, Marcos Fernández, Wenyuan Zeng, Cole Gulino, Bin Yang, Wenjie Luo and Mengye Ren. Their work appears in journals such as Applied Sciences, Multimedia Tools and Applications, Sensors, Simulation Modelling Practice and Theory and IEEE Transactions on Human-Machine Systems.
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.