Thorsten Schodde
Impact in
- Social Psychology top 10%
- Social Robot Interaction and HRI
- Artificial Intelligence top 10%
- AI in Service Interactions
- Speech and dialogue systems
- Intelligent Tutoring Systems and Adaptive Learning
- Reinforcement Learning in Robotics
Papers in
-
- Intelligent Tutoring Systems and Adaptive Learning 3
- Speech and dialogue systems 2
- Topic Modeling 1
-
- Social Robot Interaction and HRI 3
- Co-authors
- Stefan Kopp (6 shared papers)Kirsten von Bergmann (3 shared papers)Bram Willemsen (2 shared papers)Jan de Wit (2 shared papers)Mirjam de Haas (2 shared papers)Paul Vogt (2 shared papers)Emiel Krahmer (2 shared papers)Laura Hoffmann (2 shared papers)
- Journals
- ACM Transactions on Human-Robot Interaction (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)Publikationen an der Universität Bielefeld (Universität Bielefeld) (1 paper)
- Partner nations
- GermanyNetherlands
In The Last Decade
Thorsten Schodde
6 papers receiving 178 citations
Peers
Comparison fields: 5 of 23
- Social Psychology 127
- Artificial Intelligence 125
- Computer Science Applications 20
- Developmental and Educational Psychology 42
- Human-Computer Interaction 18
Countries citing papers authored by Thorsten Schodde
This map shows the geographic impact of Thorsten Schodde'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 Thorsten Schodde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thorsten Schodde more than expected).
Fields of papers citing papers by Thorsten Schodde
This network shows the impact of papers produced by Thorsten Schodde. 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 Thorsten Schodde. The network helps show where Thorsten Schodde may publish in the future.
Co-authors
The 8 scholars most cited alongside Thorsten Schodde, 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 | 2018 | 80 | |
| 2 | 2017 | 68 | |
| 3 | 2019 | 24 | |
| 4 | 2017 | 9 | |
| 5 | Exploring the Effect of Gestures and Adaptive Tutoring on Children’s Comprehension of L2 Vocabularies | 2017 | 4 |
| 6 | 2018 | 1 |
About Thorsten Schodde
Thorsten Schodde is a scholar working on Artificial Intelligence, Social Psychology, Control and Systems Engineering, Developmental and Educational Psychology and Language and Linguistics, having authored 6 papers that have together received 186 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (3 papers), Social Robot Interaction and HRI (3 papers), Robotics and Automated Systems (2 papers), Child and Animal Learning Development (2 papers), Speech and dialogue systems (2 papers), Teaching and Learning Programming (1 paper), Innovative Teaching and Learning Methods (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Social Psychology (127 citations), Artificial Intelligence (125 citations), Computer Science Applications (20 citations), Developmental and Educational Psychology (42 citations) and Human-Computer Interaction (18 citations). Thorsten Schodde has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Stefan Kopp, Kirsten von Bergmann, Bram Willemsen, Jan de Wit, Mirjam de Haas, Paul Vogt, Emiel Krahmer and Laura Hoffmann. Their work appears in journals such as ACM Transactions on Human-Robot Interaction, Zenodo (CERN European Organization for Nuclear Research) and Publikationen an der Universität Bielefeld (Universität Bielefeld).
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.