Francisco Marques

52 total papers · 428 total citations
28 papers, 271 citations indexed

About

Francisco Marques is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Francisco Marques has authored 28 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Ocean Engineering. Recurrent topics in Francisco Marques's work include Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (10 papers) and Modular Robots and Swarm Intelligence (6 papers). Francisco Marques is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (10 papers) and Modular Robots and Swarm Intelligence (6 papers). Francisco Marques collaborates with scholars based in Portugal, United States and Spain. Francisco Marques's co-authors include José Barata, Pedro Santana, Victor Lobo, V. S. Amaral, Fernando Coito, João Silva, Paulo Rodrigues, Paulo M.M. Rodrigues, Luís M. Camarinha-Matos and João P. Matos-Carvalho and has published in prestigious journals such as Sensors, Journal of Lightwave Technology and Journal of Sensors.

In The Last Decade

Francisco Marques

26 papers receiving 266 citations

Author Peers

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

Author Last Decade Papers Cites
Francisco Marques 99 96 76 51 34 28 271
Jae-Uk Shin 62 0.6× 116 1.2× 94 1.2× 21 0.4× 43 1.3× 27 304
Wenwen Liu 51 0.5× 87 0.9× 103 1.4× 32 0.6× 45 1.3× 27 264
K. S. Nagla 145 1.5× 137 1.4× 35 0.5× 19 0.4× 41 1.2× 27 285
Bowen Xing 39 0.4× 88 0.9× 83 1.1× 31 0.6× 54 1.6× 39 270
Janusz Będkowski 161 1.6× 127 1.3× 22 0.3× 26 0.5× 39 1.1× 51 268
Francisco J. Pérez-Grau 194 2.0× 132 1.4× 40 0.5× 20 0.4× 50 1.5× 18 323
Muhammad Arsalan Khan 98 1.0× 98 1.0× 33 0.4× 19 0.4× 57 1.7× 16 313
Arturo Torres‐González 176 1.8× 113 1.2× 51 0.7× 84 1.6× 25 0.7× 23 296
Luan Van Nguyen 90 0.9× 78 0.8× 57 0.8× 24 0.5× 11 0.3× 17 328
Jan Dufek 129 1.3× 126 1.3× 68 0.9× 42 0.8× 48 1.4× 15 235

Countries citing papers authored by Francisco Marques

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Marques

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Marques. A scholar is included among the top collaborators of Francisco Marques 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 Francisco Marques. Francisco Marques 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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