Thiemo Wambsganß
- Artificial Intelligence top 5%
- Developmental and Educational Psychology top 10%
- Computer Science Applications top 5%
- Education top 10%
- Information Systems top 10%
- Co-authors
- Jan Marco LeimeisterMatthias SöllnerMatthias SoellnerAndreas JansonTanja KäserFlorian WeberSiegfried HandschuhRainer Winkler
- Topics
- Innovative Teaching and Learning Methods (16 papers)Topic Modeling (11 papers)Online Learning and Analytics (9 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Thiemo Wambsganß
43 papers receiving 442 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 250
- Developmental and Educational Psychology 127
- Computer Science Applications 112
- Education 92
- Information Systems 70
Countries citing papers authored by Thiemo Wambsganß
This map shows the geographic impact of Thiemo Wambsganß'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 Thiemo Wambsganß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thiemo Wambsganß more than expected).
Fields of papers citing papers by Thiemo Wambsganß
This network shows the impact of papers produced by Thiemo Wambsganß. 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 Thiemo Wambsganß. The network helps show where Thiemo Wambsganß may publish in the future.
Co-authorship network of co-authors of Thiemo Wambsganß
This figure shows the co-authorship network connecting the top 25 collaborators of Thiemo Wambsganß. A scholar is included among the top collaborators of Thiemo Wambsganß 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 Thiemo Wambsganß. Thiemo Wambsganß is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | Design and Evaluation of an Adaptive Dialog-Based Tutoring System for Argumentation Skills | 7 |
| 18 | An Adaptive Learning Support System for Argumentation Skills | 3 |
| 19 | The Anatomy of User Experience with Conversational Agents: A Taxonomy and Propositions of Service Clues | 14 |
| 20 | Towards Designing an Adaptive Argumentation Learning Tool | 5 |
About Thiemo Wambsganß
Thiemo Wambsganß is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence, having authored 48 papers that have together received 458 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (16 papers), Topic Modeling (11 papers) and Online Learning and Analytics (9 papers). The work is most often cited by research in Computer Science Applications (112 citations), Health Informatics (20 citations) and Developmental and Educational Psychology (127 citations). Thiemo Wambsganß has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Jan Marco Leimeister, Matthias Söllner, Matthias Soellner, Andreas Janson, Tanja Käser, Florian Weber, Siegfried Handschuh, Rainer Winkler, Kenneth R. Koedinger and Kevin Gonyop Kim. Their work appears in journals such as Computers & Education, Frontiers in Psychology and Information Systems Research.
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.