Javier Pérez

32 total papers · 627 total citations
23 papers, 386 citations indexed

About

Javier Pérez is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Javier Pérez has authored 23 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Ocean Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Javier Pérez's work include Underwater Vehicles and Communication Systems (9 papers), Robotics and Sensor-Based Localization (9 papers) and Robotic Path Planning Algorithms (7 papers). Javier Pérez is often cited by papers focused on Underwater Vehicles and Communication Systems (9 papers), Robotics and Sensor-Based Localization (9 papers) and Robotic Path Planning Algorithms (7 papers). Javier Pérez collaborates with scholars based in Spain, Portugal and Sweden. Javier Pérez's co-authors include Pedro J. Sanz, J. Fernández, Mario Prats, Jorge Pomares, R. Marı́n, Fernando Caballero, Fernando Torres, J.C. García, Luís Merino and Gabriel J. García and has published in prestigious journals such as Sensors, Robotics and Computer-Integrated Manufacturing and IEEE Computer Graphics and Applications.

In The Last Decade

Javier Pérez

23 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Javier Pérez 186 177 167 75 66 23 386
Patryk Cieśląk 229 1.2× 153 0.9× 108 0.6× 59 0.8× 104 1.6× 23 347
Joshua G. Mangelson 105 0.6× 166 0.9× 246 1.5× 39 0.5× 44 0.7× 25 379
Jesús Arturo Escobedo Cabello 192 1.0× 105 0.6× 108 0.6× 28 0.4× 75 1.1× 16 429
P.J. Probert 69 0.4× 218 1.2× 174 1.0× 46 0.6× 94 1.4× 48 430
Chong Tang 141 0.8× 152 0.9× 92 0.6× 51 0.7× 115 1.7× 37 420
Michail Kalaitzakis 90 0.5× 145 0.8× 207 1.2× 23 0.3× 37 0.6× 17 369
Yongchun Miao 95 0.5× 131 0.7× 71 0.4× 31 0.4× 84 1.3× 25 346
Hordur Heidarsson 197 1.1× 156 0.9× 83 0.5× 33 0.4× 43 0.7× 19 350
Josep Amat 105 0.6× 237 1.3× 116 0.7× 75 1.0× 88 1.3× 46 421
Tom Larkworthy 118 0.6× 119 0.7× 83 0.5× 74 1.0× 124 1.9× 11 427

Countries citing papers authored by Javier Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Javier Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Pérez

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