Robert Walecki
Impact in
-
- Emotion and Mood Recognition
-
- Face recognition and analysis
- Face and Expression Recognition
- Human Pose and Action Recognition
Papers in
-
- Face and Expression Recognition 5
- Face recognition and analysis 5
-
- Emotion and Mood Recognition 6
- Mental Health Research Topics 1
- Multisensory perception and integration 1
- Co-authors
- Maja Pantić (8 shared papers)Ognjen Rudovic (7 shared papers)Vladimir Pavlović (5 shared papers)Björn W. Schuller (3 shared papers)Jean Kossaifi (1 shared paper)Yannis Panagakis (1 shared paper)Kam Star (1 shared paper)Fabien Ringeval (1 shared paper)
- Journals
- Image and Vision Computing (1 paper)IEEE Transactions on Affective Computing (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Frontiers in Digital Health (1 paper)Spiral (Imperial College London) (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Robert Walecki
9 papers receiving 283 citations
Peers
Comparison fields: 5 of 50
- Experimental and Cognitive Psychology 198
- Computer Vision and Pattern Recognition 155
- Signal Processing 62
- Human-Computer Interaction 24
- Computational Mathematics 2
Countries citing papers authored by Robert Walecki
This map shows the geographic impact of Robert Walecki'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 Robert Walecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Walecki more than expected).
Fields of papers citing papers by Robert Walecki
This network shows the impact of papers produced by Robert Walecki. 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 Robert Walecki. The network helps show where Robert Walecki may publish in the future.
Co-authors
The 21 scholars most cited alongside Robert Walecki, 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 | 2019 | 157 | |
| 2 | 2015 | 49 | |
| 3 | 2016 | 32 | |
| 4 | 2017 | 23 | |
| 5 | 2017 | 9 | |
| 6 | 2016 | 7 | |
| 7 | 2020 | 6 | |
| 8 | DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation. | 2017 | 3 |
| 9 | 2016 | 3 |
About Robert Walecki
Robert Walecki is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Signal Processing, Social Psychology and Epidemiology, having authored 9 papers that have together received 289 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Face and Expression Recognition (5 papers), Face recognition and analysis (5 papers), Speech and Audio Processing (1 paper), Blind Source Separation Techniques (1 paper), Mental Health Research Topics (1 paper), Multisensory perception and integration (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (198 citations), Computer Vision and Pattern Recognition (155 citations), Signal Processing (62 citations), Human-Computer Interaction (24 citations) and Computational Mathematics (2 citations). Robert Walecki has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Maja Pantić, Ognjen Rudovic, Vladimir Pavlović, Björn W. Schuller, Jean Kossaifi, Yannis Panagakis, Kam Star, Fabien Ringeval, Vedhas Pandit and Maximilian Schmitt. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Affective Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Digital Health and Spiral (Imperial College London).
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.