Ligia Batrinca
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Clinical Psychology
- Social Psychology
- Artificial Intelligence
- Co-authors
- Nicu SebeBruno LepriFabio PianesiNadia ManaElisa RicciRamanathan SubramanianXavier Alameda-PinedaJacopo Staiano
- Topics
- Emotion and Mood Recognition (4 papers)Personality Traits and Psychology (2 papers)Social Robot Interaction and HRI (2 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on MultimediaInstitutional Research Information System (Università degli Studi di Trento)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Ligia Batrinca
6 papers receiving 218 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 85
- Experimental and Cognitive Psychology 76
- Clinical Psychology 72
- Social Psychology 66
- Artificial Intelligence 64
Countries citing papers authored by Ligia Batrinca
This map shows the geographic impact of Ligia Batrinca'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 Ligia Batrinca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ligia Batrinca more than expected).
Fields of papers citing papers by Ligia Batrinca
This network shows the impact of papers produced by Ligia Batrinca. 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 Ligia Batrinca. The network helps show where Ligia Batrinca may publish in the future.
Co-authorship network of co-authors of Ligia Batrinca
This figure shows the co-authorship network connecting the top 25 collaborators of Ligia Batrinca. A scholar is included among the top collaborators of Ligia Batrinca 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 Ligia Batrinca. Ligia Batrinca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 89 | |
| 3 | 5 | |
| 4 | 25 | |
| 5 | 71 | |
| 6 | 10 |
About Ligia Batrinca
Ligia Batrinca is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Social Psychology, having authored 6 papers that have together received 225 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (4 papers), Personality Traits and Psychology (2 papers) and Social Robot Interaction and HRI (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (76 citations), Computer Vision and Pattern Recognition (85 citations) and Human-Computer Interaction (19 citations). Ligia Batrinca has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Nicu Sebe, Bruno Lepri, Fabio Pianesi, Nadia Mana, Elisa Ricci, Ramanathan Subramanian, Xavier Alameda-Pineda, Jacopo Staiano, Oswald Lanz and Gregorio Convertino. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia 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.