Albert Clapés
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 10
- Video Surveillance and Tracking Methods 5
- Video Analysis and Summarization 3
- Generative Adversarial Networks and Image Synthesis 2
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- Anomaly Detection Techniques and Applications 5
- Speech and dialogue systems 2
- Co-authors
- Sérgio Escalera (19 shared papers)Thomas B. Moeslund (8 shared papers)Andreas Møgelmose (2 shared papers)Chris Bahnsen (2 shared papers)Kamal Nasrollahi (2 shared papers)Javier Selva (2 shared papers)Cristina Palmero (2 shared papers)Maurício Cantor (1 shared paper)
In The Last Decade
Albert Clapés
17 papers receiving 320 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 228
- Human-Computer Interaction 38
- Health Informatics 6
- Artificial Intelligence 65
- Computational Mathematics 1
Countries citing papers authored by Albert Clapés
This map shows the geographic impact of Albert Clapés'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 Albert Clapés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Clapés more than expected).
Fields of papers citing papers by Albert Clapés
This network shows the impact of papers produced by Albert Clapés. 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 Albert Clapés. The network helps show where Albert Clapés may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Clapés, 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 | 2023 | 74 | |
| 2 | 2016 | 60 | |
| 3 | 2013 | 54 | |
| 4 | 2022 | 30 | |
| 5 | 2018 | 25 | |
| 6 | 2023 | 19 | |
| 7 | 2012 | 16 | |
| 8 | 2013 | 13 | |
| 9 | 2018 | 11 | |
| 10 | 2019 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2024 | 1 | |
| 18 | ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions:Dataset, Design, and Results | 2021 | 0 |
| 19 | 2025 | 0 |
About Albert Clapés
Albert Clapés is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Human-Computer Interaction and Social Psychology, having authored 19 papers that have together received 334 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (5 papers), Anomaly Detection Techniques and Applications (5 papers), Hand Gesture Recognition Systems (3 papers), Gait Recognition and Analysis (3 papers), Video Analysis and Summarization (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Human-Computer Interaction (38 citations), Health Informatics (6 citations), Artificial Intelligence (65 citations) and Computational Mathematics (1 citation). Albert Clapés has collaborated with scholars based in Spain, Denmark and Estonia. Frequent co-authors include Sérgio Escalera, Thomas B. Moeslund, Andreas Møgelmose, Chris Bahnsen, Kamal Nasrollahi, Javier Selva, Cristina Palmero, Maurício Cantor, Miguel Reyes and Egils Avots. Their work appears in journals such as Computers in Industry, International Journal of Computer Vision, Pattern Recognition Letters, Machine Vision and Applications and PLoS ONE.
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.