Sebastian Kaltwang
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Pharmacology
- Social Psychology
- Co-authors
- Maja PantićSiniša TodorovićAndrew H. KempHongying MengNick TylerNatalie KanakamAmanda C de C WilliamsMichel Valstar
- Topics
- Emotion and Mood Recognition (4 papers)Gaze Tracking and Assistive Technology (2 papers)Face and Expression Recognition (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 Affective ComputingUniversity of Twente Research Information
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sebastian Kaltwang
6 papers receiving 239 citations
Peers
Comparison fields: 5 of 59
- Experimental and Cognitive Psychology 145
- Computer Vision and Pattern Recognition 102
- Cognitive Neuroscience 52
- Pharmacology 42
- Social Psychology 40
Countries citing papers authored by Sebastian Kaltwang
This map shows the geographic impact of Sebastian Kaltwang'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 Sebastian Kaltwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Kaltwang more than expected).
Fields of papers citing papers by Sebastian Kaltwang
This network shows the impact of papers produced by Sebastian Kaltwang. 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 Sebastian Kaltwang. The network helps show where Sebastian Kaltwang may publish in the future.
Co-authorship network of co-authors of Sebastian Kaltwang
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Kaltwang. A scholar is included among the top collaborators of Sebastian Kaltwang 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 Sebastian Kaltwang. Sebastian Kaltwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 144 | |
| 2 | 39 | |
| 3 | 39 | |
| 4 | 1 | |
| 5 | Identifying Pain Behaviour for Automatic Recognition. | 3 |
| 6 | 25 |
About Sebastian Kaltwang
Sebastian Kaltwang is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 6 papers that have together received 251 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (4 papers), Gaze Tracking and Assistive Technology (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (145 citations), Computer Vision and Pattern Recognition (102 citations) and Human-Computer Interaction (19 citations). Sebastian Kaltwang has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Maja Pantić, Siniša Todorović, Andrew H. Kemp, Hongying Meng, Nick Tyler, Natalie Kanakam, Amanda C de C Williams, Michel Valstar, Brais Martínez and Aneesha Singh. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Affective Computing and University of Twente Research Information.
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.