Jordi Sànchez-Riera
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Aerospace Engineering
- Biomedical Engineering
- Control and Systems Engineering
- Co-authors
- Wen-Huang ChengKai‐Lung HuaRadu HoraudJan ČechKathiravan SrinivasanM. Anwar HossainMohammed F. AlhamidShintami Chusnul Hidayati
- Topics
- Human Pose and Action Recognition (6 papers)Robot Manipulation and Learning (4 papers)Hand Gesture Recognition Systems (4 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
In The Last Decade
Jordi Sànchez-Riera
11 papers receiving 246 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 210
- Human-Computer Interaction 72
- Aerospace Engineering 49
- Biomedical Engineering 31
- Control and Systems Engineering 25
Countries citing papers authored by Jordi Sànchez-Riera
This map shows the geographic impact of Jordi Sànchez-Riera'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 Jordi Sànchez-Riera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordi Sànchez-Riera more than expected).
Fields of papers citing papers by Jordi Sànchez-Riera
This network shows the impact of papers produced by Jordi Sànchez-Riera. 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 Jordi Sànchez-Riera. The network helps show where Jordi Sànchez-Riera may publish in the future.
Co-authorship network of co-authors of Jordi Sànchez-Riera
This figure shows the co-authorship network connecting the top 25 collaborators of Jordi Sànchez-Riera. A scholar is included among the top collaborators of Jordi Sànchez-Riera 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 Jordi Sànchez-Riera. Jordi Sànchez-Riera 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 | 0 | |
| 3 | 1 | |
| 4 | 53 | |
| 5 | 48 | |
| 6 | 11 | |
| 7 | 29 | |
| 8 | 10 | |
| 9 | The Ravel data set | 2 |
| 10 | 60 | |
| 11 | 32 | |
| 12 | 8 |
About Jordi Sànchez-Riera
Jordi Sànchez-Riera is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 255 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Robot Manipulation and Learning (4 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Human-Computer Interaction (72 citations), Computer Vision and Pattern Recognition (210 citations) and Computer Graphics and Computer-Aided Design (9 citations). Jordi Sànchez-Riera has collaborated with scholars based in Taiwan, Spain and France. Frequent co-authors include Wen-Huang Cheng, Kai‐Lung Hua, Radu Horaud, Jan Čech, Kathiravan Srinivasan, M. Anwar Hossain, Mohammed F. Alhamid, Shintami Chusnul Hidayati, Pascal Fua and Francesc Moreno-Noguer. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition Letters and Journal on Multimodal User Interfaces.
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.