Gabriel A. D. Lopes
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Robert BabuškaI. GrondmanLucian BuşoniuSubramanya NageshraoEsmaeil NajafiD. E. KoditschekHamidreza ModaresFrank L. Lewis
- Topics
- Robotic Locomotion and Control (17 papers)Prosthetics and Rehabilitation Robotics (10 papers)Robotic Path Planning Algorithms (8 papers)
- Cited by
- Control and Systems EngineeringComputational Theory and MathematicsComputer Networks and Communications
- Partner nations
- NetherlandsIranUnited States
In The Last Decade
Gabriel A. D. Lopes
46 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Control and Systems Engineering 592
- Artificial Intelligence 384
- Biomedical Engineering 329
- Computer Networks and Communications 310
- Computational Theory and Mathematics 285
Countries citing papers authored by Gabriel A. D. Lopes
This map shows the geographic impact of Gabriel A. D. Lopes'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 Gabriel A. D. Lopes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel A. D. Lopes more than expected).
Fields of papers citing papers by Gabriel A. D. Lopes
This network shows the impact of papers produced by Gabriel A. D. Lopes. 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 Gabriel A. D. Lopes. The network helps show where Gabriel A. D. Lopes may publish in the future.
Co-authorship network of co-authors of Gabriel A. D. Lopes
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel A. D. Lopes. A scholar is included among the top collaborators of Gabriel A. D. Lopes 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 Gabriel A. D. Lopes. Gabriel A. D. Lopes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 32 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 16 | |
| 8 | 52 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | Energy-balancing passivity-based control through reinforcement learning | 1 |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 111 | |
| 19 | 13 | |
| 20 | 17 |
About Gabriel A. D. Lopes
Gabriel A. D. Lopes is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Software, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (17 papers), Prosthetics and Rehabilitation Robotics (10 papers) and Robotic Path Planning Algorithms (8 papers). The work is most often cited by research in Control and Systems Engineering (592 citations), Computational Theory and Mathematics (285 citations) and Computer Networks and Communications (310 citations). Gabriel A. D. Lopes has collaborated with scholars based in Netherlands, Iran and United States. Frequent co-authors include Robert Babuška, I. Grondman, Lucian Buşoniu, Subramanya Nageshrao, Esmaeil Najafi, D. E. Koditschek, Hamidreza Modares, Frank L. Lewis, Mohammad Shahbazi and M. Buehler. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Journal of Biomechanics.
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.