Radu L. Vieriu
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Nicu SebeRamanathan SubramanianStefan WinklerMojtaba Khomami AbadiElisa RicciOswald LanzNikhil NaikCésar A. Hidalgo
- Topics
- Face recognition and analysis (3 papers)Domain Adaptation and Few-Shot Learning (2 papers)Video Surveillance and Tracking Methods (2 papers)
- Journals
- International Journal of Computer VisionIEEE Transactions on Affective ComputingInstitutional Research Information System (Università degli Studi di Trento)
- Partner nations
- ItalyIndiaUnited States
In The Last Decade
Radu L. Vieriu
4 papers receiving 425 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Experimental and Cognitive Psychology 279
- Cognitive Neuroscience 211
- Cardiology and Cardiovascular Medicine 84
- Computer Vision and Pattern Recognition 79
- Artificial Intelligence 78
Countries citing papers authored by Radu L. Vieriu
This map shows the geographic impact of Radu L. Vieriu'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 Radu L. Vieriu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu L. Vieriu more than expected).
Fields of papers citing papers by Radu L. Vieriu
This network shows the impact of papers produced by Radu L. Vieriu. 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 Radu L. Vieriu. The network helps show where Radu L. Vieriu may publish in the future.
Co-authorship network of co-authors of Radu L. Vieriu
This figure shows the co-authorship network connecting the top 25 collaborators of Radu L. Vieriu. A scholar is included among the top collaborators of Radu L. Vieriu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Radu L. Vieriu. Radu L. Vieriu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensorsbreakdown → | 354 |
| 3 | 35 | |
| 4 | Boosting-based transfer learning for multi-view head-pose classification from surveillance videos | 4 |
| 5 | 0 |
About Radu L. Vieriu
Radu L. Vieriu is a scholar working on Transportation, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 5 papers that have together received 430 indexed citations. Recurring topics across this work include Face recognition and analysis (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (279 citations), Cognitive Neuroscience (211 citations) and Human-Computer Interaction (35 citations). Radu L. Vieriu has collaborated with scholars based in Italy, India and United States. Frequent co-authors include Nicu Sebe, Ramanathan Subramanian, Stefan Winkler, Mojtaba Khomami Abadi, Elisa Ricci, Oswald Lanz, Nikhil Naik, César A. Hidalgo, Marco De Nadai and Bruno Lepri. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Affective Computing and Institutional Research Information System (Università degli Studi di Trento).
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.