David Fuentes-Jiménez
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Advanced Neural Network Applications
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- Hand Gesture Recognition Systems
Papers in
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- Video Surveillance and Tracking Methods 7
- Advanced Vision and Imaging 4
- Human Pose and Action Recognition 4
- Optical measurement and interference techniques 2
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- Anomaly Detection Techniques and Applications 6
- Co-authors
- Cristina Losada (11 shared papers)David Casillas-Pérez (5 shared papers)Marta Marrón-Romera (5 shared papers)Manuel Mazo (6 shared papers)Javier Macías-Guarasa (3 shared papers)Sergio Diz (2 shared papers)Ana P. González-Marcos (4 shared papers)Daniel Pizarro (7 shared papers)
In The Last Decade
David Fuentes-Jiménez
19 papers receiving 232 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 147
- Human-Computer Interaction 23
- Computer Graphics and Computer-Aided Design 9
- Instrumentation 9
- Artificial Intelligence 74
Countries citing papers authored by David Fuentes-Jiménez
This map shows the geographic impact of David Fuentes-Jiménez'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 David Fuentes-Jiménez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Fuentes-Jiménez more than expected).
Fields of papers citing papers by David Fuentes-Jiménez
This network shows the impact of papers produced by David Fuentes-Jiménez. 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 David Fuentes-Jiménez. The network helps show where David Fuentes-Jiménez may publish in the future.
Co-authors
The 14 scholars most cited alongside David Fuentes-Jiménez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 57 | |
| 2 | 2016 | 35 | |
| 3 | 2020 | 25 | |
| 4 | 2021 | 21 | |
| 5 | 2022 | 21 | |
| 6 | 2019 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2021 | 11 | |
| 9 | 2022 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About David Fuentes-Jiménez
David Fuentes-Jiménez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Aerospace Engineering, having authored 22 papers that have together received 240 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Anomaly Detection Techniques and Applications (6 papers), Advanced Vision and Imaging (4 papers), Human Pose and Action Recognition (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), Heart Rate Variability and Autonomic Control (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Human-Computer Interaction (23 citations), Computer Graphics and Computer-Aided Design (9 citations), Instrumentation (9 citations) and Artificial Intelligence (74 citations). David Fuentes-Jiménez has collaborated with scholars based in Spain and France. Frequent co-authors include Cristina Losada, David Casillas-Pérez, Marta Marrón-Romera, Manuel Mazo, Javier Macías-Guarasa, Sergio Diz, Ana P. González-Marcos, Daniel Pizarro, Adrien Bartoli and Álvaro Hernández. Their work appears in journals such as Expert Systems with Applications, Applied Sciences, Multimedia Tools and Applications, IEEE Access and Scientific Reports.
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.