Antonio Peñalver

65 total papers · 643 total citations
46 papers, 430 citations indexed

About

Antonio Peñalver is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Antonio Peñalver has authored 46 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 11 papers in Ocean Engineering. Recurrent topics in Antonio Peñalver's work include Robotics and Sensor-Based Localization (12 papers), Underwater Vehicles and Communication Systems (11 papers) and Robotic Path Planning Algorithms (8 papers). Antonio Peñalver is often cited by papers focused on Robotics and Sensor-Based Localization (12 papers), Underwater Vehicles and Communication Systems (11 papers) and Robotic Path Planning Algorithms (8 papers). Antonio Peñalver collaborates with scholars based in Spain, Iran and Saudi Arabia. Antonio Peñalver's co-authors include Pedro J. Sanz, Francisco Escolano, J. Fernández, J. M. Górriz, Rasoul Khayati, Federico Botella, Mohammad Mikaeili, Pere Ridao, Miquel Massot‐Campos and Joaquín Pérez and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Antonio Peñalver

43 papers receiving 402 citations

Author Peers

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

Author Last Decade Papers Cites
Antonio Peñalver 139 128 114 56 40 46 430
Xun Li 115 0.8× 97 0.8× 86 0.8× 38 0.7× 12 0.3× 71 480
Leonardo Bobadilla 110 0.8× 80 0.6× 62 0.5× 88 1.6× 22 0.6× 68 409
João Quintas 121 0.9× 147 1.1× 87 0.8× 182 3.3× 26 0.7× 48 493
Katsuhiko Kaji 249 1.8× 59 0.5× 63 0.6× 80 1.4× 76 1.9× 65 480
Billy Pik Lik Lau 96 0.7× 39 0.3× 75 0.7× 69 1.2× 15 0.4× 31 404
Lu Wang 127 0.9× 36 0.3× 46 0.4× 58 1.0× 20 0.5× 72 473
Zhice Yang 57 0.4× 106 0.8× 48 0.4× 44 0.8× 23 0.6× 38 482
Hanno Hildmann 99 0.7× 33 0.3× 190 1.7× 34 0.6× 11 0.3× 40 421
Sai‐Keung Wong 190 1.4× 122 1.0× 35 0.3× 47 0.8× 80 2.0× 61 475
Tianyang Dong 67 0.5× 30 0.2× 33 0.3× 26 0.5× 35 0.9× 43 463

Countries citing papers authored by Antonio Peñalver

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Peñalver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Peñalver

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Peñalver. A scholar is included among the top collaborators of Antonio Peñalver 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 Antonio Peñalver. Antonio Peñalver 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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2026