Pedro F. Proença

783 total citations
17 papers, 327 citations indexed

About

Pedro F. Proença is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Pedro F. Proença has authored 17 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Geology. Recurrent topics in Pedro F. Proença's work include Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (5 papers) and Advanced Vision and Imaging (4 papers). Pedro F. Proença is often cited by papers focused on Robotics and Sensor-Based Localization (12 papers), Robotic Path Planning Algorithms (5 papers) and Advanced Vision and Imaging (4 papers). Pedro F. Proença collaborates with scholars based in United States, United Kingdom and Portugal. Pedro F. Proença's co-authors include Yang Gao, Raul Laureano, Luís Laureano, Jeff Delaune, Roland Brockers, Larry Matthies, João Freitas, Timo Hinzmann, Elisângela Vilar and Jessica E. Todd and has published in prestigious journals such as Robotics and Autonomous Systems, International Journal of Artificial Intelligence Tools and Research Portal (King's College London).

In The Last Decade

Pedro F. Proença

16 papers receiving 310 citations

Peers

Pedro F. Proença
Comparison fields: 5 of 57
  • Aerospace Engineering 207
  • Computer Vision and Pattern Recognition 114
  • Accounting 69
  • Astronomy and Astrophysics 43
  • Geology 41
Replace T Mcgee with:
T Mcgee United States
Christopher Bolkcom
Menglong Yang China
Joachim Bauer Austria
Francesco Forte Italy
K. Govinda India
Mohammed Jashim Uddin Bangladesh
Hoang D. Le Japan
Sanchit Agarwal India
Bhavya Lal United States
T Mcgee United States View profile →
Citations per field, relative to Pedro F. Proença
Pedro F. Proença · 1×
Citations per year, relative to Pedro F. Proença
Pedro F. Proença · 1×

Countries citing papers authored by Pedro F. Proença

Since Specialization
Citations

This map shows the geographic impact of Pedro F. Proença'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 F. Proença with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro F. Proença more than expected).

Fields of papers citing papers by Pedro F. Proença

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro F. Proença. 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 F. Proença. The network helps show where Pedro F. Proença may publish in the future.

Co-authorship network of co-authors of Pedro F. Proença

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro F. Proença. A scholar is included among the top collaborators of Pedro F. Proença 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 F. Proença. Pedro F. Proença is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 9
3 1
4 2
5 4
6 8
7 2
8 12
9 135
10
Ground-Based High-DOF AI And Robotics Demonstrator For In-Orbit Space Optical Telescope Assembly
2
11 29
12 31
13 4
14 4
15 0
16 8
17 75

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.

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2026