Rafael Vidal Aroca

23 papers and 198 indexed citations i.

About

Rafael Vidal Aroca is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Rafael Vidal Aroca has authored 23 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Rafael Vidal Aroca’s work include Robotics and Sensor-Based Localization (4 papers), Modular Robots and Swarm Intelligence (4 papers) and Robotics and Automated Systems (3 papers). Rafael Vidal Aroca is often cited by papers focused on Robotics and Sensor-Based Localization (4 papers), Modular Robots and Swarm Intelligence (4 papers) and Robotics and Automated Systems (3 papers). Rafael Vidal Aroca collaborates with scholars based in Brazil, United States and Colombia. Rafael Vidal Aroca's co-authors include Luiz M. G. Gonçalves, Glauco A. P. Caurin, Rafael B. Gomes, Márcia Cristina Branciforti and Carlos Eiji Hirata Ventura and has published in prestigious journals such as Sensors, IEEE Access and Computers and Electronics in Agriculture.

In The Last Decade

Fields of papers citing papers by Rafael Vidal Aroca

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Rafael Vidal Aroca. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Rafael Vidal Aroca may publish in the future.

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).

Rankless by CCL
2025