Pedro Costa
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Aerospace Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Mechanical Engineering
- Co-authors
- José LimaGermano VeigaFilipe Neves dos SantosLuís SantosAntónio Paulo MoreiraLuís F. RochaSandro Augusto MagalhãesPaulo Costa
- Topics
- Robotic Path Planning Algorithms (20 papers)Robotics and Sensor-Based Localization (13 papers)Modular Robots and Swarm Intelligence (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
- Partner nations
- PortugalBrazilUnited States
In The Last Decade
Pedro Costa
40 papers receiving 526 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 250
- Control and Systems Engineering 140
- Aerospace Engineering 122
- Industrial and Manufacturing Engineering 99
- Mechanical Engineering 95
Countries citing papers authored by Pedro Costa
This map shows the geographic impact of Pedro Costa'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 Pedro Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Costa more than expected).
Fields of papers citing papers by Pedro Costa
This network shows the impact of papers produced by Pedro Costa. 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 Pedro Costa. The network helps show where Pedro Costa may publish in the future.
Co-authorship network of co-authors of Pedro Costa
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Costa. A scholar is included among the top collaborators of Pedro Costa 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 Pedro Costa. Pedro Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 89 | |
| 11 | 47 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | 37 | |
| 15 | 3 | |
| 16 | 23 | |
| 17 | An Optimization Approach for the Inverse Kinematics of a Highly Redundant Robot. | 1 |
| 18 | 41 | |
| 19 | 2 | |
| 20 | 8 |
About Pedro Costa
Pedro Costa is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 42 papers that have together received 545 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (20 papers), Robotics and Sensor-Based Localization (13 papers) and Modular Robots and Swarm Intelligence (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (250 citations), Industrial and Manufacturing Engineering (99 citations) and Control and Systems Engineering (140 citations). Pedro Costa has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include José Lima, Germano Veiga, Filipe Neves dos Santos, Luís Santos, António Paulo Moreira, Luís F. Rocha, Sandro Augusto Magalhães, Paulo Costa, António Valente and Carlos M. Costa. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.