David Portugal

103 total papers · 2.1k total citations
65 papers, 1.2k citations indexed

About

David Portugal is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, David Portugal has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 21 papers in Aerospace Engineering and 20 papers in Computer Networks and Communications. Recurrent topics in David Portugal's work include Robotics and Sensor-Based Localization (20 papers), Robotic Path Planning Algorithms (19 papers) and Modular Robots and Swarm Intelligence (16 papers). David Portugal is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Robotic Path Planning Algorithms (19 papers) and Modular Robots and Swarm Intelligence (16 papers). David Portugal collaborates with scholars based in Portugal, Cyprus and United Kingdom. David Portugal's co-authors include Rui P. Rocha, Micael S. Couceiro, João Santos, George Samaras, Lino Marques, Jorge Dias, João Filipe Ferreira, N. M. Fonseca Ferreira, Henrik I. Christensen and Farzan Majeed Noori and has published in prestigious journals such as Sensors, Applied Sciences and Robotics and Autonomous Systems.

In The Last Decade

David Portugal

64 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Portugal 470 376 370 310 241 65 1.2k
Ahmed Hussein 416 0.9× 238 0.6× 308 0.8× 263 0.8× 122 0.5× 53 1.1k
H. R. Everett 554 1.2× 577 1.5× 160 0.4× 249 0.8× 180 0.7× 51 1.1k
Nilanjan Chakraborty 364 0.8× 181 0.5× 530 1.4× 320 1.0× 268 1.1× 82 1.4k
Fernando Matı́a 268 0.6× 276 0.7× 217 0.6× 243 0.8× 144 0.6× 74 992
Alexei Makarenko 570 1.2× 609 1.6× 355 1.0× 210 0.7× 163 0.7× 32 1.2k
Erwin Prassler 592 1.3× 264 0.7× 128 0.3× 370 1.2× 175 0.7× 62 1.1k
Enrico Pagello 630 1.3× 432 1.1× 210 0.6× 299 1.0× 189 0.8× 112 1.3k
Paolo Pirjanian 726 1.5× 442 1.2× 292 0.8× 267 0.9× 413 1.7× 48 1.2k
Andreas Kolling 508 1.1× 412 1.1× 538 1.5× 136 0.4× 301 1.2× 51 1.2k
Stephen Balakirsky 414 0.9× 260 0.7× 152 0.4× 369 1.2× 252 1.0× 98 1.2k

Countries citing papers authored by David Portugal

Since Specialization
Citations

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

Fields of papers citing papers by David Portugal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Portugal. 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 David Portugal. The network helps show where David Portugal may publish in the future.

Co-authorship network of co-authors of David Portugal

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

All Works

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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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