Pedro U. Lima

3.6k total citations
181 papers, 2.1k citations indexed

About

Pedro U. Lima is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Pedro U. Lima has authored 181 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 49 papers in Artificial Intelligence and 48 papers in Aerospace Engineering. Recurrent topics in Pedro U. Lima's work include Robotics and Sensor-Based Localization (36 papers), Robotic Path Planning Algorithms (29 papers) and Modular Robots and Swarm Intelligence (25 papers). Pedro U. Lima is often cited by papers focused on Robotics and Sensor-Based Localization (36 papers), Robotic Path Planning Algorithms (29 papers) and Modular Robots and Swarm Intelligence (25 papers). Pedro U. Lima collaborates with scholars based in Portugal, United States and Switzerland. Pedro U. Lima's co-authors include Paulo Tabuada, Matthijs T. J. Spaan, Meysam Basiri, George J. Pappas, Aamir Ahmad, Felix Schill, Dario Floreano, Dejan Milutinović, Carlos Marques and Rodrigo Ventura and has published in prestigious journals such as IEEE Transactions on Automatic Control, The Journal of Infectious Diseases and Sensors.

In The Last Decade

Pedro U. Lima

169 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro U. Lima Portugal 26 749 614 564 493 469 181 2.1k
Luca Iocchi Italy 28 1.2k 1.6× 529 0.9× 625 1.1× 776 1.6× 422 0.9× 165 2.5k
Mo Jamshidi United States 30 765 1.0× 800 1.3× 440 0.8× 573 1.2× 1.0k 2.2× 222 3.0k
Geoffrey A. Hollinger United States 25 1.3k 1.7× 951 1.5× 1.1k 1.9× 655 1.3× 416 0.9× 98 2.8k
Stefano Carpin United States 28 1.2k 1.6× 608 1.0× 1.0k 1.9× 379 0.8× 475 1.0× 125 2.3k
Matthew Garratt Australia 27 1.1k 1.4× 481 0.8× 1.1k 2.0× 490 1.0× 1.2k 2.6× 202 2.8k
C.S.G. Lee United States 20 637 0.9× 401 0.7× 294 0.5× 1.3k 2.6× 1.1k 2.3× 67 2.9k
Sreenatha G. Anavatti Australia 29 802 1.1× 317 0.5× 652 1.2× 1.2k 2.5× 1.1k 2.4× 198 3.1k
Farshad Arvin United Kingdom 26 640 0.9× 863 1.4× 451 0.8× 320 0.6× 689 1.5× 115 2.3k
Francesco Amigoni Italy 21 821 1.1× 641 1.0× 674 1.2× 403 0.8× 204 0.4× 139 1.7k
Oscar Montiel Mexico 20 1.1k 1.4× 274 0.4× 546 1.0× 821 1.7× 670 1.4× 75 2.1k

Countries citing papers authored by Pedro U. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Pedro U. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro U. Lima

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

All Works

20 of 20 papers shown
1.
Costa, Gabriel B., et al.. (2023). Learning-Based Model Predictive Control for Autonomous Racing. World Electric Vehicle Journal. 14(7). 163–163. 7 indexed citations
2.
Morales, Jesús, et al.. (2023). Vision-Based Autonomous Following of a Moving Platform and Landing for an Unmanned Aerial Vehicle. Sensors. 23(2). 829–829. 22 indexed citations
3.
Colim, Ana, et al.. (2023). Designing a User-Centered Inspection Device’s Handle for the Aircraft Manufacturing Industry. Applied Sciences. 13(20). 11584–11584. 3 indexed citations
4.
Azevedo, Carlos Lima, Bruno Lacerda, Nick Hawes, & Pedro U. Lima. (2020). Long-Run Multi-Robot Planning Under Uncertain Task Durations. Adaptive Agents and Multi-Agents Systems. 2168–2170. 1 indexed citations
5.
Lacerda, Bruno & Pedro U. Lima. (2019). Petri net based multi-robot task coordination from temporal logic specifications. Robotics and Autonomous Systems. 122. 103289–103289. 26 indexed citations
6.
Lima, Pedro U., et al.. (2018). Towards Institutions for Mixed Human-Robot Societies. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2216–2217. 1 indexed citations
7.
Lima, Pedro U., Aamir Ahmad, André Dias, et al.. (2014). Formation control driven by cooperative object tracking. Robotics and Autonomous Systems. 63. 68–79. 25 indexed citations
8.
Spaan, Matthijs T. J., et al.. (2013). Multiagent POMDPs with asynchronous execution. Adaptive Agents and Multi-Agents Systems. 1273–1274. 1 indexed citations
9.
Tarapore, Danesh, Anders Lyhne Christensen, Pedro U. Lima, & Jorge Carneiro. (2013). Abnormality detection in multiagent systems inspired by the adaptive immune system. Adaptive Agents and Multi-Agents Systems. 23–30. 5 indexed citations
10.
Tarapore, Danesh, Anders Lyhne Christensen, Pedro U. Lima, & Jorge Carneiro. (2012). Environment classification in multiagent systems inspired by the adaptive immune system. 275–282. 2 indexed citations
11.
Lima, Pedro U., et al.. (2011). Um jogo voltado à prática de gerenciamento de projetos. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE). 1(1). 2 indexed citations
12.
Spaan, Matthijs T. J., et al.. (2011). Efficient Offline Communication Policies for Factored Multiagent POMDPs. Neural Information Processing Systems. 24. 1917–1925. 12 indexed citations
13.
Lacerda, Bruno & Pedro U. Lima. (2011). Designing petri net supervisors for multi-agent systems from LTL specifications. PubMed Central. 1253–1254. 1 indexed citations
14.
Palamara, Pier Francesco, et al.. (2008). A robotic soccer passing task using petri net plans. Adaptive Agents and Multi-Agents Systems. 1711–1712. 4 indexed citations
15.
Palamara, Pier Francesco, et al.. (2008). A Robotic Soccer Passing Task Using Petri Net Plans (Demo Paper). IRIS Research product catalog (Sapienza University of Rome). 1 indexed citations
16.
Lima, Pedro U., H. Levent Akın, Adam Jacoff, et al.. (2005). RoboCup 2004 competitions and symposium: A small kick for robots, a giant score for science. AI Magazine. 26(2). 36–61. 5 indexed citations
17.
Lima, Pedro U., et al.. (2002). Artificial Intelligence and Systems Theory Applied to Cooperative Robots: the SocRob Project. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2 indexed citations
18.
Lima, Pedro U., et al.. (2002). A Modified Potential Fields Method for Robot Navigation Applied to Dribbling in Robotic Soccer. 1 indexed citations
19.
Moreira, Nuno F.F., et al.. (1996). First Steps Towards an Open Control Architecture for a PUMA 560. 8 indexed citations
20.
Lima, Pedro U., et al.. (1991). Classificações de profissões nos Censos 91. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 43–66.

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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