Rafael Vidal Aroca
- Computer Vision and Pattern Recognition top 10%
- Computer Science Applications top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Computer Networks and Communications
- Co-authors
- Luiz Marcos Garcia GonçalvesGlauco A. P. CaurinAquiles Medeiros Filgueira BurlamaquiDaniel Varela MagalhãesMarcelo BeckerA. G. CalboCarlos Manoel Pedro VazCarlos Eiji Hirata Ventura
- Topics
- Robotics and Automated Systems (6 papers)Modular Robots and Swarm Intelligence (6 papers)Teaching and Learning Programming (6 papers)
- Cited by
- Computer Science ApplicationsHardware and ArchitectureIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- BrazilUnited StatesNetherlands
In The Last Decade
Rafael Vidal Aroca
37 papers receiving 370 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 64
- Computer Science Applications 60
- Electrical and Electronic Engineering 55
- Control and Systems Engineering 53
- Computer Networks and Communications 52
Countries citing papers authored by Rafael Vidal Aroca
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 11 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 43 | |
| 18 | 4 | |
| 19 | Upgrade of a Scara robot using Orocos | 2 |
| 20 | 0 |
About Rafael Vidal Aroca
Rafael Vidal Aroca is a scholar working on Computer Science Applications, Human-Computer Interaction and Industrial and Manufacturing Engineering, having authored 38 papers that have together received 391 indexed citations. Recurring topics across this work include Robotics and Automated Systems (6 papers), Modular Robots and Swarm Intelligence (6 papers) and Teaching and Learning Programming (6 papers). The work is most often cited by research in Computer Science Applications (60 citations), Hardware and Architecture (33 citations) and Industrial and Manufacturing Engineering (48 citations). Rafael Vidal Aroca has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Luiz Marcos Garcia Gonçalves, Glauco A. P. Caurin, Aquiles Medeiros Filgueira Burlamaqui, Daniel Varela Magalhães, Marcelo Becker, A. G. Calbo, Carlos Manoel Pedro Vaz, Carlos Eiji Hirata Ventura, Luiz Velho and Felipe N. Martins. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.