Javier Alonso–Mora
- Automotive Engineering top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 0.5%
- Computer Networks and Communications top 1%
- Aerospace Engineering top 1%
- Co-authors
- Daniela RusWilko SchwartingRoland SiegwartAlex WallarHai ZhuEmilio FrazzoliSamitha SamaranayakePaul Beardsley
- Topics
- Robotic Path Planning Algorithms (68 papers)Transportation and Mobility Innovations (33 papers)Autonomous Vehicle Technology and Safety (29 papers)
- Journals
- Proceedings of the National Academy of SciencesEuropean Journal of Operational ResearchACM Transactions on Graphics
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Javier Alonso–Mora
128 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Automotive Engineering 2.3k
- Computer Vision and Pattern Recognition 2.1k
- Control and Systems Engineering 1.5k
- Computer Networks and Communications 1.0k
- Aerospace Engineering 954
Countries citing papers authored by Javier Alonso–Mora
This map shows the geographic impact of Javier Alonso–Mora'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 Javier Alonso–Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Alonso–Mora more than expected).
Fields of papers citing papers by Javier Alonso–Mora
This network shows the impact of papers produced by Javier Alonso–Mora. 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 Javier Alonso–Mora. The network helps show where Javier Alonso–Mora may publish in the future.
Co-authorship network of co-authors of Javier Alonso–Mora
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Alonso–Mora. A scholar is included among the top collaborators of Javier Alonso–Mora based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier Alonso–Mora. Javier Alonso–Mora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 13 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | 33 | |
| 15 | 20 | |
| 16 | 52 | |
| 17 | 124 | |
| 18 | 64 | |
| 19 | 88 | |
| 20 | 17 |
About Javier Alonso–Mora
Javier Alonso–Mora is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Transportation, having authored 138 papers that have together received 5.2k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (68 papers), Transportation and Mobility Innovations (33 papers) and Autonomous Vehicle Technology and Safety (29 papers). The work is most often cited by research in Automotive Engineering (2.3k citations), Transportation (864 citations) and Computer Vision and Pattern Recognition (2.1k citations). Javier Alonso–Mora has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Daniela Rus, Wilko Schwarting, Roland Siegwart, Alex Wallar, Hai Zhu, Emilio Frazzoli, Samitha Samaranayake, Paul Beardsley, Bruno Brito and Sertaç Karaman. Their work appears in journals such as Proceedings of the National Academy of Sciences, European Journal of Operational Research and ACM Transactions on Graphics.
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.