Stefan Thalmann
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Big Data and Business Intelligence
- FinTech, Crowdfunding, Digital Finance
- Quality and Supply Management
Papers in
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- Artificial Intelligence in Healthcare and Education 5
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- Big Data and Business Intelligence 10
- Co-authors
- Ronald MaierViktoria Pammer‐SchindlerTobias SchreckAngela FesslRené KaiserVedran SabolBettina KubicekTobias Ley
In The Last Decade
Stefan Thalmann
51 papers receiving 573 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 44
- Management Information Systems 159
- Industrial and Manufacturing Engineering 108
- Management of Technology and Innovation 42
- Safety Research 50
Countries citing papers authored by Stefan Thalmann
This map shows the geographic impact of Stefan Thalmann'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 Stefan Thalmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Thalmann more than expected).
Fields of papers citing papers by Stefan Thalmann
This network shows the impact of papers produced by Stefan Thalmann. 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 Stefan Thalmann. The network helps show where Stefan Thalmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Thalmann, 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 | 2025 | 9 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 31 | |
| 11 | 2022 | 0 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 5 | |
| 16 | Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring | 2020 | 11 |
| 17 | 2020 | 7 | |
| 18 | 2018 | 1 | |
| 19 | Gathering Knowledge from Social Knowledge Management Environments: Validation of an Anticipatory Standard | 2013 | 2 |
| 20 | Optimizing Assignment of Knowledge Workers to Office Space Using Knowledge Management Criteria The Flexible Office Case | 2008 | 5 |
About Stefan Thalmann
Stefan Thalmann is a scholar working on Health Informatics, Management Information Systems, Industrial and Manufacturing Engineering, Safety Research and Computer Science Applications, having authored 57 papers that have together received 618 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (10 papers), Ethics and Social Impacts of AI (8 papers), Anomaly Detection Techniques and Applications (5 papers), Digital Transformation in Industry (5 papers), Knowledge Management and Sharing (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Online Learning and Analytics (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Health Informatics (44 citations), Management Information Systems (159 citations), Industrial and Manufacturing Engineering (108 citations), Management of Technology and Innovation (42 citations) and Safety Research (50 citations). Stefan Thalmann has collaborated with scholars based in Austria, Germany and Estonia. Frequent co-authors include Ronald Maier, Viktoria Pammer‐Schindler, Tobias Schreck, Angela Fessl, René Kaiser, Vedran Sabol, Bettina Kubicek, Tobias Ley, Adolfo Ruiz‐Calleja and Kai Pata. Their work appears in journals such as Journal of the Association for Information Systems, VINE Journal of Information and Knowledge Management Systems, Frontiers in Psychology, Knowledge Management Research & Practice and Journal of Behavioral and Experimental Finance.
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.