J. A. Rincon
Impact in
-
- Emotion and Mood Recognition
Papers in
-
- Privacy-Preserving Technologies in Data 5
- Multi-Agent Systems and Negotiation 4
-
- Social Robot Interaction and HRI 5
- Co-authors
- Vicente Julián (29 shared papers)Carlos Carrascosa (28 shared papers)Ângelo Costa (11 shared papers)Paulo Nováis (10 shared papers)Sol Guerra‐Ojeda (1 shared paper)Gabriel Villarrubia González (1 shared paper)Javier Palanca (2 shared papers)Juan-Luis Posadas-Yagüe (2 shared papers)
In The Last Decade
J. A. Rincon
32 papers receiving 246 citations
Peers
Comparison fields: 5 of 78
- Experimental and Cognitive Psychology 50
- Human-Computer Interaction 19
- Social Psychology 57
- Artificial Intelligence 87
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by J. A. Rincon
This map shows the geographic impact of J. A. Rincon'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 J. A. Rincon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. A. Rincon more than expected).
Fields of papers citing papers by J. A. Rincon
This network shows the impact of papers produced by J. A. Rincon. 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 J. A. Rincon. The network helps show where J. A. Rincon may publish in the future.
Co-authors
The 21 scholars most cited alongside J. A. Rincon, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 45 | |
| 2 | 2020 | 43 | |
| 3 | 2018 | 38 | |
| 4 | 2017 | 13 | |
| 5 | 2019 | 11 | |
| 6 | 2016 | 10 | |
| 7 | 2018 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2016 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2016 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2024 | 3 |
About J. A. Rincon
J. A. Rincon is a scholar working on Artificial Intelligence, Social Psychology, Computer Vision and Pattern Recognition, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 36 papers that have together received 261 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (7 papers), Context-Aware Activity Recognition Systems (6 papers), IoT and Edge/Fog Computing (5 papers), Privacy-Preserving Technologies in Data (5 papers), Social Robot Interaction and HRI (5 papers), Multi-Agent Systems and Negotiation (4 papers), Remote Sensing in Agriculture (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (50 citations), Human-Computer Interaction (19 citations), Social Psychology (57 citations), Artificial Intelligence (87 citations) and Computer Vision and Pattern Recognition (44 citations). J. A. Rincon has collaborated with scholars based in Spain, Portugal and Colombia. Frequent co-authors include Vicente Julián, Carlos Carrascosa, Ângelo Costa, Paulo Nováis, Sol Guerra‐Ojeda, Gabriel Villarrubia González, Javier Palanca, Juan-Luis Posadas-Yagüe, Markus Schatten and Emilia García. Their work appears in journals such as Sensors, Electronics, Neurocomputing, Artificial Intelligence in Medicine and Logic Journal of IGPL.
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.