Pablo Barros
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
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- Emotion and Mood Recognition
Papers in
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- Emotion and Mood Recognition 21
- Multisensory perception and integration 6
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- Hand Gesture Recognition Systems 8
- Co-authors
- Stefan WermterCornelius WeberGerman I. ParisiBruno FernandesNikhil ChuramaniDoreen JirakHenrique SiqueiraAlessandra Sciutti
In The Last Decade
Pablo Barros
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 107
- Human-Computer Interaction 179
- Experimental and Cognitive Psychology 359
- Computer Vision and Pattern Recognition 506
- Signal Processing 89
- Social Psychology 161
Countries citing papers authored by Pablo Barros
This map shows the geographic impact of Pablo Barros'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 Pablo Barros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Barros more than expected).
Fields of papers citing papers by Pablo Barros
This network shows the impact of papers produced by Pablo Barros. 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 Pablo Barros. The network helps show where Pablo Barros may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Barros, 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 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 17 | |
| 10 | A Personalized Affective Memory Model for Improving Emotion Recognition | 2019 | 15 |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2017 | 8 | |
| 14 | 2017 | 197 | |
| 15 | Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network. | 2016 | 25 |
| 16 | Learning objects from RGB-D sensors using point cloud-based neural networks. | 2015 | 2 |
| 17 | Dynamic gesture recognition using Echo State Networks. | 2015 | 6 |
| 18 | 2015 | 58 | |
| 19 | 2015 | 34 | |
| 20 | FINGeR: Framework for Interactive Neural-based Gesture Recognition | 2014 | 2 |
About Pablo Barros
Pablo Barros is a scholar working on Experimental and Cognitive Psychology, Human-Computer Interaction, Computer Vision and Pattern Recognition, Sensory Systems and General Decision Sciences, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (21 papers), Human Pose and Action Recognition (12 papers), Social Robot Interaction and HRI (10 papers), Face and Expression Recognition (8 papers), Hand Gesture Recognition Systems (8 papers), Face recognition and analysis (6 papers), Multisensory perception and integration (6 papers) and Gait Recognition and Analysis (6 papers). The work is most often cited by research in Human-Computer Interaction (179 citations), Experimental and Cognitive Psychology (359 citations), Computer Vision and Pattern Recognition (506 citations), Signal Processing (89 citations) and Social Psychology (161 citations). Pablo Barros has collaborated with scholars based in Germany, Brazil and Italy. Frequent co-authors include Stefan Wermter, Cornelius Weber, German I. Parisi, Bruno Fernandes, Nikhil Churamani, Doreen Jirak, Henrique Siqueira, Alessandra Sciutti, Erik Strahl and Daniel Jirák. Their work appears in journals such as Neurocomputing, IEEE Access, Neural Networks, Neural Computing and Applications and Expert Systems with Applications.
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.