Rafael Vidal Aroca

60 total papers · 569 total citations
38 papers, 384 citations indexed

About

Rafael Vidal Aroca is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Rafael Vidal Aroca has authored 38 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Rafael Vidal Aroca's work include Modular Robots and Swarm Intelligence (6 papers), Teaching and Learning Programming (6 papers) and Robotics and Automated Systems (6 papers). Rafael Vidal Aroca is often cited by papers focused on Modular Robots and Swarm Intelligence (6 papers), Teaching and Learning Programming (6 papers) and Robotics and Automated Systems (6 papers). Rafael Vidal Aroca collaborates with scholars based in Brazil, United States and Colombia. Rafael Vidal Aroca's co-authors include Luiz Marcos Garcia Gonçalves, Aquiles Medeiros Filgueira Burlamaqui, Glauco A. P. Caurin, Daniel Varela Magalhães, Marcelo Becker, A. G. Calbo, Luiz Velho, Carlos Eiji Hirata Ventura, Carlos Manoel Pedro Vaz and Esther Luna Colombini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Rafael Vidal Aroca

37 papers receiving 364 citations

Author Peers

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

Author						Papers	Cites
Rafael Vidal Aroca	61	56	55	52	50	38	384
Billy Pik Lik Lau	96 1.6×	33 0.6×	121 2.2×	70 1.3×	26 0.5×	31	404
Eduardo Todt	188 3.1×	19 0.3×	45 0.8×	31 0.6×	47 0.9×	50	337
Yanan Song	76 1.2×	13 0.2×	25 0.5×	19 0.4×	96 1.9×	39	404
Juan C. Granda	47 0.8×	12 0.2×	28 0.5×	67 1.3×	69 1.4×	42	333
Yurni Oktarina	58 1.0×	30 0.5×	111 2.0×	8 0.2×	91 1.8×	56	426
Anna Carreras	74 1.2×	18 0.3×	88 1.6×	109 2.1×	26 0.5×	35	446
Luis E. González-Jiménez	95 1.6×	12 0.2×	50 0.9×	44 0.8×	103 2.1×	33	368
Mukhtiar Ali Unar	55 0.9×	18 0.3×	89 1.6×	97 1.9×	80 1.6×	49	391
Mat Syai’in	56 0.9×	20 0.4×	181 3.3×	27 0.5×	111 2.2×	53	419
Joan Navarro	61 1.0×	32 0.6×	71 1.3×	106 2.0×	63 1.3×	51	393

Countries citing papers authored by Rafael Vidal Aroca

Since Specialization

Citations

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

Fields of papers citing papers by Rafael Vidal Aroca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Vidal Aroca. 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 Rafael Vidal Aroca. The network helps show where Rafael Vidal Aroca may publish in the future.

Co-authorship network of co-authors of Rafael Vidal Aroca

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Vidal Aroca. A scholar is included among the top collaborators of Rafael Vidal Aroca 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 Rafael Vidal Aroca. Rafael Vidal Aroca 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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