Joel Vidal
Impact in
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- Image and Object Detection Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Geology top 10%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Neural Network Applications 3
- Image and Object Detection Techniques 2
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Chyi‐Yeu Lin (5 shared papers)Robert Martí (6 shared papers)Bertram Drost (1 shared paper)Xenophon Zabulis (1 shared paper)Jiřı́ Matas (1 shared paper)Federico Tombari (1 shared paper)Anders Glent Buch (1 shared paper)Carsten Rother (1 shared paper)
In The Last Decade
Joel Vidal
11 papers receiving 469 citations
Joel Vidal's Hit Papers
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 260
- Geology 65
- Control and Systems Engineering 267
- Aerospace Engineering 252
- Industrial and Manufacturing Engineering 56
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-authors
The 25 scholars most cited alongside Joel Vidal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | BOP: Benchmark for 6D Object Pose Estimation Hit paper breakdown → | 2018 | 294 |
| 2 | 2018 | 61 | |
| 3 | 2021 | 58 | |
| 4 | 2019 | 37 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 5 | |
| 7 | 2022 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2016 | 2 | |
| 11 | Desprendimiento retinal por pelotazo en el juego del futbol | 1981 | 1 |
About Joel Vidal
Joel Vidal is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 483 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Robot Manipulation and Learning (4 papers), AI in cancer detection (3 papers), Advanced Neural Network Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), MRI in cancer diagnosis (2 papers), Image and Object Detection Techniques (2 papers) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Geology (65 citations), Control and Systems Engineering (267 citations), Aerospace Engineering (252 citations) and Industrial and Manufacturing Engineering (56 citations). Joel Vidal has collaborated with scholars based in Spain, Taiwan and Greece. Frequent co-authors include Chyi‐Yeu Lin, Robert Martí, Bertram Drost, Xenophon Zabulis, Jiřı́ Matas, Federico Tombari, Anders Glent Buch, Carsten Rother, Frank Michel and Tae‐Kyun Kim. Their work appears in journals such as Sensors, Robotics and Autonomous Systems, The International Journal of Advanced Manufacturing Technology, Computers in Biology and Medicine and Lecture notes in computer science.
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.