Roberto Iglesias
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Senén BarroCarlos V. RegueiroJay R. LiebermanPeter G. WhangManuel Fernández-DelgadoFernando E. CasadoJ.A. RodríguezCarlos Herrero
- Topics
- Robotic Path Planning Algorithms (13 papers)Robotics and Sensor-Based Localization (10 papers)Robot Manipulation and Learning (8 papers)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Roberto Iglesias
60 papers receiving 929 citations
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 230
- Aerospace Engineering 226
- Computer Vision and Pattern Recognition 189
- Biomedical Engineering 169
- Electrical and Electronic Engineering 169
Countries citing papers authored by Roberto Iglesias
This map shows the geographic impact of Roberto Iglesias'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 Roberto Iglesias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Iglesias more than expected).
Fields of papers citing papers by Roberto Iglesias
This network shows the impact of papers produced by Roberto Iglesias. 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 Roberto Iglesias. The network helps show where Roberto Iglesias may publish in the future.
Co-authorship network of co-authors of Roberto Iglesias
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Iglesias. A scholar is included among the top collaborators of Roberto Iglesias 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 Roberto Iglesias. Roberto Iglesias 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 | 71 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | Learning Proposal based on Reinforcement for Collaborative Tasks: Robot Convoy Formation. | 1 |
| 12 | 13 | |
| 13 | Self-localisation through system identification | 1 |
| 14 | 178 | |
| 15 | 22 | |
| 16 | 34 | |
| 17 | 9 | |
| 18 | Learning of perceptual states in the design of an adaptive wall-following behavior. | 2 |
| 19 | Use of fuzzy temporal rules for avoidance of moving obstacles in mobile robotics. | 2 |
| 20 | 2 |
About Roberto Iglesias
Roberto Iglesias is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Science Applications, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (10 papers) and Robot Manipulation and Learning (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Aerospace Engineering (226 citations) and Artificial Intelligence (230 citations). Roberto Iglesias has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Senén Barro, Carlos V. Regueiro, Jay R. Lieberman, Peter G. Whang, Manuel Fernández-Delgado, Fernando E. Casado, J.A. Rodríguez, Carlos Herrero, Xosé M. Pardo and S. Garcı́a Martı́n. Their work appears in journals such as Journal of Bone and Joint Surgery, Journal of Agricultural and Food Chemistry and Food Chemistry.
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.