Israel Becerra
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering top 10%
- Control and Systems Engineering
- Artificial Intelligence
- Human-Computer Interaction top 10%
- Co-authors
- Rafael Murrieta-CidEduardo F. MoralesSteven M. LaValleSeth HutchinsonKatherine J. MimnaughLuis M. Valentín-CoronadoRanxiao Frances WangHéctor M. Becerra
- Topics
- Robotic Path Planning Algorithms (21 papers)Robotics and Sensor-Based Localization (10 papers)Guidance and Control Systems (9 papers)
- Partner nations
- MexicoUnited StatesFinland
In The Last Decade
Israel Becerra
29 papers receiving 241 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 115
- Aerospace Engineering 99
- Control and Systems Engineering 58
- Artificial Intelligence 42
- Human-Computer Interaction 41
Countries citing papers authored by Israel Becerra
This map shows the geographic impact of Israel Becerra'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 Israel Becerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Israel Becerra more than expected).
Fields of papers citing papers by Israel Becerra
This network shows the impact of papers produced by Israel Becerra. 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 Israel Becerra. The network helps show where Israel Becerra may publish in the future.
Co-authorship network of co-authors of Israel Becerra
This figure shows the co-authorship network connecting the top 25 collaborators of Israel Becerra. A scholar is included among the top collaborators of Israel Becerra 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 Israel Becerra. Israel Becerra 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 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 54 | |
| 13 | Human perception-optimized planning for comfortable VR-based telepresence | 14 |
| 14 | 25 | |
| 15 | 5 | |
| 16 | 19 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 3 |
About Israel Becerra
Israel Becerra is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Aerospace Engineering, having authored 31 papers that have together received 249 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (21 papers), Robotics and Sensor-Based Localization (10 papers) and Guidance and Control Systems (9 papers). The work is most often cited by research in Human-Computer Interaction (41 citations), Computer Vision and Pattern Recognition (115 citations) and Aerospace Engineering (99 citations). Israel Becerra has collaborated with scholars based in Mexico, United States and Finland. Frequent co-authors include Rafael Murrieta-Cid, Eduardo F. Morales, Steven M. LaValle, Seth Hutchinson, Katherine J. Mimnaugh, Luis M. Valentín-Coronado, Ranxiao Frances Wang, Héctor M. Becerra, Raúl Monroy and Jean‐Claude Latombe. Their work appears in journals such as Automatica, The International Journal of Robotics Research and Thin Solid Films.
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.