Susanne Stadler
- Social Psychology top 5%
- Artificial Intelligence top 10%
- Automotive Engineering top 5%
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Manfred TscheligiAlexander MeschtscherjakovNicole MirnigGerald StollnbergerManuel GiulianiAstrid WeissChristiane MoserZdeněk Materna
- Topics
- Social Robot Interaction and HRI (7 papers)Robot Manipulation and Learning (4 papers)Reinforcement Learning in Robotics (4 papers)
- Journals
- Frontiers in PsychologyFrontiers in Robotics and AIreposiTUm (TU Wien)
- Partner nations
- AustriaUnited KingdomCzechia
In The Last Decade
Susanne Stadler
16 papers receiving 566 citations
Peers
Comparison fields: 5 of 68
- Social Psychology 393
- Artificial Intelligence 174
- Automotive Engineering 125
- Human-Computer Interaction 76
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Susanne Stadler
This map shows the geographic impact of Susanne Stadler'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 Susanne Stadler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Stadler more than expected).
Fields of papers citing papers by Susanne Stadler
This network shows the impact of papers produced by Susanne Stadler. 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 Susanne Stadler. The network helps show where Susanne Stadler may publish in the future.
Co-authorship network of co-authors of Susanne Stadler
This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Stadler. A scholar is included among the top collaborators of Susanne Stadler 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 Susanne Stadler. Susanne Stadler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 154 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 7 | |
| 9 | 48 | |
| 10 | 22 | |
| 11 | 58 | |
| 12 | 12 | |
| 13 | 244 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | Feedback is like Cinderella! The important role of feedback when humans and robots are working together in the factory | 1 |
| 17 | 1 |
About Susanne Stadler
Susanne Stadler is a scholar working on Health Informatics, Human-Computer Interaction and Social Psychology, having authored 17 papers that have together received 590 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (7 papers), Robot Manipulation and Learning (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Social Psychology (393 citations), Human-Computer Interaction (76 citations) and Automotive Engineering (125 citations). Susanne Stadler has collaborated with scholars based in Austria, United Kingdom and Czechia. Frequent co-authors include Manfred Tscheligi, Alexander Meschtscherjakov, Nicole Mirnig, Gerald Stollnberger, Manuel Giuliani, Astrid Weiss, Christiane Moser, Zdeněk Materna and Alexander G. Mirnig. Their work appears in journals such as Frontiers in Psychology, Frontiers in Robotics and AI and reposiTUm (TU Wien).
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.