Victor M. Vega
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Biomedical Engineering
- Mechanical Engineering
- Co-authors
- Guillermo HerediaAnı́bal OlleroAlejandro SuárezÁngel Rodríguez CastañoAntonio E. Jimenez-CanoJosé BragaJosé Ángel AcostaAlfredo Ollero Ojeda
- Topics
- Robotic Path Planning Algorithms (7 papers)Robotics and Sensor-Based Localization (4 papers)Robot Manipulation and Learning (3 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionAerospace Engineering
- Partner nations
- SpainAustriaSwitzerland
In The Last Decade
Victor M. Vega
10 papers receiving 462 citations
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 279
- Computer Vision and Pattern Recognition 241
- Aerospace Engineering 217
- Biomedical Engineering 96
- Mechanical Engineering 80
Countries citing papers authored by Victor M. Vega
This map shows the geographic impact of Victor M. Vega'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 Victor M. Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor M. Vega more than expected).
Fields of papers citing papers by Victor M. Vega
This network shows the impact of papers produced by Victor M. Vega. 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 Victor M. Vega. The network helps show where Victor M. Vega may publish in the future.
Co-authorship network of co-authors of Victor M. Vega
This figure shows the co-authorship network connecting the top 25 collaborators of Victor M. Vega. A scholar is included among the top collaborators of Victor M. Vega 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 Victor M. Vega. Victor M. Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 51 | |
| 3 | 26 | |
| 4 | 28 | |
| 5 | 76 | |
| 6 | 9 | |
| 7 | 37 | |
| 8 | 165 | |
| 9 | 34 | |
| 10 | 3 |
About Victor M. Vega
Victor M. Vega is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Orthodontics, having authored 10 papers that have together received 473 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (7 papers), Robotics and Sensor-Based Localization (4 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Control and Systems Engineering (279 citations), Computer Vision and Pattern Recognition (241 citations) and Aerospace Engineering (217 citations). Victor M. Vega has collaborated with scholars based in Spain, Austria and Switzerland. Frequent co-authors include Guillermo Heredia, Anı́bal Ollero, Alejandro Suárez, Ángel Rodríguez Castaño, Antonio E. Jimenez-Cano, José Braga, José Ángel Acosta, Alfredo Ollero Ojeda, J. Ferruz and Víctor Blanco. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Robotics and Automation Letters.
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.