Pedro Costa

999 total citations
42 papers, 545 citations indexed

About

Pedro Costa is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Pedro Costa has authored 42 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 13 papers in Control and Systems Engineering. Recurrent topics in Pedro Costa's work include Robotic Path Planning Algorithms (20 papers), Robotics and Sensor-Based Localization (13 papers) and Modular Robots and Swarm Intelligence (9 papers). Pedro Costa is often cited by papers focused on Robotic Path Planning Algorithms (20 papers), Robotics and Sensor-Based Localization (13 papers) and Modular Robots and Swarm Intelligence (9 papers). Pedro Costa collaborates with scholars based in Portugal, Brazil and United States. Pedro Costa's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Pedro Costa

40 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pedro Costa Portugal	12	250	140	122	99	95	42	545
Luís F. Rocha Portugal	15	212 0.8×	204 1.5×	122 1.0×	225 2.3×	98 1.0×	57	637
Goran Vasiljević Croatia	11	144 0.6×	130 0.9×	104 0.9×	120 1.2×	134 1.4×	34	489
Niall O’Mahony Ireland	12	178 0.7×	75 0.5×	85 0.7×	46 0.5×	46 0.5×	29	494
Vinu Sivanantham Singapore	11	216 0.9×	114 0.8×	124 1.0×	28 0.3×	184 1.9×	22	424
Lixing Liu China	7	281 1.1×	128 0.9×	132 1.1×	57 0.6×	43 0.5×	17	403
De Jong Yeong Ireland	5	212 0.8×	116 0.8×	153 1.3×	30 0.3×	42 0.4×	5	708
David C. Conner United States	15	434 1.7×	311 2.2×	166 1.4×	33 0.3×	130 1.4×	42	825
J. C. Mohanta India	13	420 1.7×	343 2.5×	273 2.2×	64 0.6×	106 1.1×	28	888
Muhammad Ilyas Pakistan	12	82 0.3×	44 0.3×	116 1.0×	47 0.5×	54 0.6×	44	385

Countries citing papers authored by Pedro Costa

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Piardi, Luis, André Schneider de Oliveira, Pedro Costa, & Paulo Leitão. (2025). Collaborative fault tolerance for cyber–physical systems: The detection stage. Computers in Industry. 166. 104253–104253. 3 indexed citations

Silva, Manuel F., et al.. (2024). Direct-Steered-DRRT*: A 3D RRT-based planner improvement. 100–105.

Sobreira, Héber, et al.. (2024). AGVs vs AMRs: A Comparative Study of Fleet Performance and Flexibility. 1–6. 2 indexed citations

Costa, Pedro, et al.. (2024). Efficient multi-robot path planning in real environments: a centralized coordination system. International Journal of Intelligent Robotics and Applications. 9(1). 217–244. 6 indexed citations

Costa, Pedro, et al.. (2021). Multi AGV Coordination Tolerant to Communication Failures. Robotics. 10(2). 55–55. 6 indexed citations

Costa, Pedro, et al.. (2021). Machine Learning Optimization for Robotic Welding Parametrization. 137–142. 3 indexed citations

Piardi, Luis, Thadeu Brito, José Lima, et al.. (2021). Micromouse 3D simulator with dynamics capability: a Unity environment approach. SN Applied Sciences. 3(2). 4 indexed citations

Santos, Bruno F., et al.. (2021). Integration of CAD Models into Game Engines. 153–160. 5 indexed citations

Rocha, Luís F., et al.. (2021). A* Based Routing and Scheduling Modules for Multiple AGVs in an Industrial Scenario. Robotics. 10(2). 72–72. 11 indexed citations

10.

Costa, Carlos M., Luís F. Rocha, Pedro Costa, et al.. (2019). Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality. Automation in Construction. 106. 102825–102825. 89 indexed citations

11.

Fernández, Javier, Estefanía Ledesma, Pedro Costa, et al.. (2019). Traditional Processed Meat Products Re-designed Towards Inulin-rich Functional Foods Reduce Polyps in Two Colorectal Cancer Animal Models. Scientific Reports. 9(1). 14783–14783. 47 indexed citations

12.

Veiga, Germano, et al.. (2019). Optimal automatic path planner and design for high redundancy robotic systems. Industrial Robot the international journal of robotics research and application. 47(1). 131–139. 7 indexed citations

13.

Brito, Thadeu, et al.. (2019). A Comparison of A* and RRT* Algorithms with Dynamic and Real Time Constraint Scenarios for Mobile Robots. 398–405. 5 indexed citations

14.

Santos, Luís, et al.. (2019). Path Planning Aware of Robot’s Center of Mass for Steep Slope Vineyards. Robotica. 38(4). 684–698. 37 indexed citations

15.

Lima, José, Ana I. Pereira, Paulo Costa, Andry Maykol Pinto, & Pedro Costa. (2017). A fast and robust kinematic model for a 12 DoF hyper-redundant robot positioning: An optimization proposal. AIP conference proceedings. 1863. 270007–270007. 3 indexed citations

16.

Pinto, Andry Maykol, et al.. (2016). A cable-driven robot for architectural constructions: a visual-guided approach for motion control and path-planning. Autonomous Robots. 41(7). 1487–1499. 23 indexed citations

17.

Costa, Paulo, José Lima, Ana I. Pereira, Pedro Costa, & Andry Maykol Pinto. (2015). An Optimization Approach for the Inverse Kinematics of a Highly Redundant Robot.. Biblioteca Digital do IPB (Instituto Politecnico De Braganca). 433–442. 1 indexed citations

18.

Fernandes, Elisabete, Pedro Costa, José Lima, & Germano Veiga. (2015). Towards an orientation enhanced astar algorithm for robotic navigation. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 3320–3325. 41 indexed citations

19.

Costa, Pedro, et al.. (2014). 3D Reconstruction of Body Parts Using RGB-D Sensors: Challenges from a Biomedical Perspective. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 378–389. 2 indexed citations

20.

Nascimento, Tiago, Pedro Costa, Paulo Costa, António Paulo Moreira, & André G. S. Conceição. (2012). A set of novel modifications to improve algorithms from the A* family applied in mobile robotics. Journal of the Brazilian Computer Society. 19(2). 167–179. 8 indexed citations

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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