Pedro U. Lima

129 papers and 1.4k indexed citations i.

About

Pedro U. Lima is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Pedro U. Lima has authored 129 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 33 papers in Aerospace Engineering and 31 papers in Artificial Intelligence. Recurrent topics in Pedro U. Lima’s work include Robotics and Sensor-Based Localization (23 papers), Modular Robots and Swarm Intelligence (21 papers) and Robotic Path Planning Algorithms (19 papers). Pedro U. Lima is often cited by papers focused on Robotics and Sensor-Based Localization (23 papers), Modular Robots and Swarm Intelligence (21 papers) and Robotic Path Planning Algorithms (19 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, Dario Floreano, George J. Pappas, Felix Schill, Bruno Lacerda, Dejan Milutinović, Aamir Ahmad and Rodrigo Ventura and has published in prestigious journals such as IEEE Transactions on Automatic Control, Sensors and Energy and Buildings.

In The Last Decade

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

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.

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).

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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