Joel Vidal
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Robert MartíChyi‐Yeu LinXavier LladóJoan C. VilanovaYuru ChenAnne SchmidtBlanca RojasXavier Cufí
- Topics
- Robotics and Sensor-Based Localization (4 papers)AI in cancer detection (3 papers)Robot Manipulation and Learning (3 papers)
In The Last Decade
Joel Vidal
10 papers receiving 164 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 72
- Control and Systems Engineering 68
- Aerospace Engineering 52
- Artificial Intelligence 46
- Radiology, Nuclear Medicine and Imaging 43
Countries citing papers authored by Joel Vidal
This map shows the geographic impact of Joel Vidal'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 Joel Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Vidal more than expected).
Fields of papers citing papers by Joel Vidal
This network shows the impact of papers produced by Joel Vidal. 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 Joel Vidal. The network helps show where Joel Vidal may publish in the future.
Co-authorship network of co-authors of Joel Vidal
This figure shows the co-authorship network connecting the top 25 collaborators of Joel Vidal. A scholar is included among the top collaborators of Joel Vidal 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 Joel Vidal. Joel Vidal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 55 | |
| 6 | 18 | |
| 7 | 33 | |
| 8 | 54 | |
| 9 | 1 | |
| 10 | Desprendimiento retinal por pelotazo en el juego del futbol | 1 |
About Joel Vidal
Joel Vidal is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Aerospace Engineering, having authored 10 papers that have together received 168 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), AI in cancer detection (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (72 citations), Geology (18 citations) and Industrial and Manufacturing Engineering (32 citations). Joel Vidal has collaborated with scholars based in Spain, Taiwan and Chile. Frequent co-authors include Robert Martí, Chyi‐Yeu Lin, Xavier Lladó, Joan C. Vilanova, Yuru Chen, Anne Schmidt, Blanca Rojas, Xavier Cufí, Joan Martı́ and Margarita Chevalier. Their work appears in journals such as Sensors, The International Journal of Advanced Manufacturing Technology and Robotics and Autonomous Systems.
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.