Camilo Perez Quintero
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Human-Computer Interaction top 5%
- Mechanical Engineering
- Aerospace Engineering
- Co-authors
- Martin JägersandElizabeth A. CroftWesley P. ChanH. F. Machiel Van der LoosÓscar RamírezAzad ShademanMasood DehghanXi Zhang
- Topics
- Robot Manipulation and Learning (6 papers)Robotics and Sensor-Based Localization (6 papers)Advanced Vision and Imaging (5 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- Physics EducationarXiv (Cornell University)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Camilo Perez Quintero
17 papers receiving 281 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 154
- Control and Systems Engineering 101
- Human-Computer Interaction 86
- Mechanical Engineering 83
- Aerospace Engineering 55
Countries citing papers authored by Camilo Perez Quintero
This map shows the geographic impact of Camilo Perez Quintero'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 Camilo Perez Quintero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Camilo Perez Quintero more than expected).
Fields of papers citing papers by Camilo Perez Quintero
This network shows the impact of papers produced by Camilo Perez Quintero. 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 Camilo Perez Quintero. The network helps show where Camilo Perez Quintero may publish in the future.
Co-authorship network of co-authors of Camilo Perez Quintero
This figure shows the co-authorship network connecting the top 25 collaborators of Camilo Perez Quintero. A scholar is included among the top collaborators of Camilo Perez Quintero 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 Camilo Perez Quintero. Camilo Perez Quintero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 22 | |
| 3 | 17 | |
| 4 | Sidewalk delivery robot navigation: a pedestrian-based approach | 1 |
| 5 | Virtual barriers in augmented reality for safe human-robot collaboration in manufacturing | 2 |
| 6 | 101 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 23 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 29 | |
| 17 | 6 |
About Camilo Perez Quintero
Camilo Perez Quintero is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 17 papers that have together received 298 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Human-Computer Interaction (86 citations), Computer Vision and Pattern Recognition (154 citations) and Control and Systems Engineering (101 citations). Camilo Perez Quintero has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Martin Jägersand, Elizabeth A. Croft, Wesley P. Chan, H. F. Machiel Van der Loos, Óscar Ramírez, Azad Shademan, Masood Dehghan, Xi Zhang, Travis Dick and V L B de Jesus. Their work appears in journals such as Physics Education and arXiv (Cornell University).
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.