Javier Ruiz‐Hidalgo
- Geology top 5%
- Human-Computer Interaction top 5%
-
- Advanced Vision and Imaging 12
- Advanced Image Processing Techniques 8
- Video Analysis and Summarization 6
- Human Pose and Action Recognition 6
- Analytical Chemistry top 5%
- Environmental Engineering top 5%
- Remote Sensing and LiDAR Applications 6
-
- Smart Agriculture and AI 9
-
- Video Coding and Compression Technologies 6
-
- Remote Sensing in Agriculture 5
- Co-authors
- Josep Ramon MorrosJosep R. CasasEduard GregorioJordi Gené-MolaVerónica VilaplanaJoan R. Rosell-PoloRicardo SanzJordi Salvador
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Transactions on Image Processing (1 paper)Sensors (1 paper)
In The Last Decade
Javier Ruiz‐Hidalgo
42 papers receiving 798 citations
Peers
Comparison fields: 5 of 67
- Geology 86
- Human-Computer Interaction 77
- Computer Vision and Pattern Recognition 253
- Analytical Chemistry 120
- Environmental Engineering 173
Countries citing papers authored by Javier Ruiz‐Hidalgo
This map shows the geographic impact of Javier Ruiz‐Hidalgo'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 Javier Ruiz‐Hidalgo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Ruiz‐Hidalgo more than expected).
Fields of papers citing papers by Javier Ruiz‐Hidalgo
This network shows the impact of papers produced by Javier Ruiz‐Hidalgo. 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 Javier Ruiz‐Hidalgo. The network helps show where Javier Ruiz‐Hidalgo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier Ruiz‐Hidalgo, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2023 | 34 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 2020 | 34 | |
| 8 | 2019 | 94 | |
| 9 | 2019 | 23 | |
| 10 | 2019 | 15 | |
| 11 | 2017 | 9 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2015 | 85 | |
| 16 | Gesture Interaction with Rich TV Content in the Social Setting | 2013 | 5 |
| 17 | 2013 | 1 | |
| 18 | 2013 | 0 | |
| 19 | 2012 | 6 | |
| 20 | Format-agnostic Approach for Production, Delivery and Rendering of Immersive Media | 2011 | 1 |
About Javier Ruiz‐Hidalgo
Javier Ruiz‐Hidalgo is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 44 papers that have together received 834 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Smart Agriculture and AI (9 papers), Advanced Image Processing Techniques (8 papers), Remote Sensing and LiDAR Applications (6 papers), Video Analysis and Summarization (6 papers), Human Pose and Action Recognition (6 papers), Video Coding and Compression Technologies (6 papers) and Remote Sensing in Agriculture (5 papers). The work is most often cited by research in Geology (86 citations), Human-Computer Interaction (77 citations) and Computer Vision and Pattern Recognition (253 citations). Javier Ruiz‐Hidalgo has collaborated with scholars based in Spain, Germany and Chile. Frequent co-authors include Josep Ramon Morros, Josep R. Casas, Eduard Gregorio, Jordi Gené-Mola, Verónica Vilaplana, Joan R. Rosell-Polo, Ricardo Sanz, Jordi Salvador, Eduardo Pérez-Pellitero and Bodo Rosenhahn. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing 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.