Sergio Casas
Impact in
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
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- Advanced Neural Network Applications
- Augmented Reality Applications
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
Papers in
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- Augmented Reality Applications 26
- Advanced Neural Network Applications 10
-
- Virtual Reality Applications and Impacts 24
- Co-authors
- Raquel Urtasun (21 shared papers)Simon Su (4 shared papers)Cristina Portalés (42 shared papers)Abbas Sadat (5 shared papers)Wenjie Luo (2 shared papers)Marcos Fernández (31 shared papers)Wenyuan Zeng (3 shared papers)Renjie Liao (3 shared papers)
- Journals
- Applied Sciences (4 papers)Multimedia Tools and Applications (4 papers)Sensors (3 papers)Computers & Graphics (2 papers)Virtual Reality (2 papers)
- Partner nations
- SpainCanadaUnited States
In The Last Decade
Sergio Casas
84 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Automotive Engineering 835
- Computer Vision and Pattern Recognition 879
- Human-Computer Interaction 207
- Safety, Risk, Reliability and Quality 155
- Geology 79
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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 256 | |
| 2 | 2021 | 129 | |
| 3 | 2021 | 128 | |
| 4 | 2020 | 115 | |
| 5 | 2020 | 114 | |
| 6 | 2020 | 104 | |
| 7 | 2021 | 101 | |
| 8 | 2021 | 84 | |
| 9 | 2020 | 58 | |
| 10 | 2023 | 56 | |
| 11 | 2019 | 37 | |
| 12 | 2016 | 34 | |
| 13 | 2018 | 27 | |
| 14 | 2014 | 24 | |
| 15 | 2018 | 21 | |
| 16 | 2017 | 21 | |
| 17 | 2023 | 21 | |
| 18 | 2016 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2016 | 17 |
About Sergio Casas
Sergio Casas is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Automotive Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 91 papers that have together received 1.8k indexed citations. Recurring topics across this work include Augmented Reality Applications (26 papers), Virtual Reality Applications and Impacts (24 papers), Autonomous Vehicle Technology and Safety (21 papers), Aerospace and Aviation Technology (14 papers), Advanced Neural Network Applications (10 papers), Real-time simulation and control systems (10 papers), Surgical Simulation and Training (8 papers) and Human-Automation Interaction and Safety (8 papers). The work is most often cited by research in Automotive Engineering (835 citations), Computer Vision and Pattern Recognition (879 citations), Human-Computer Interaction (207 citations), Safety, Risk, Reliability and Quality (155 citations) and Geology (79 citations). Sergio Casas has collaborated with scholars based in Spain, Canada and United States. Frequent co-authors include Raquel Urtasun, Simon Su, Cristina Portalés, Abbas Sadat, Wenjie Luo, Marcos Fernández, Wenyuan Zeng, Renjie Liao, Jesús Gimeno and Bin Yang. Their work appears in journals such as Applied Sciences, Multimedia Tools and Applications, Sensors, Computers & Graphics and Virtual Reality.
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.