Stephan Schlögl
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
- Artificial Intelligence top 5%
- AI in Service Interactions
- Speech and dialogue systems
- Topic Modeling
Papers in
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- AI in Service Interactions 12
- Speech and dialogue systems 8
- Artificial Intelligence in Games 2
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- Social Robot Interaction and HRI 10
- Co-authors
- Gavin Doherty (6 shared papers)Saturnino Luz Filho (1 shared paper)Cosmin Munteanu (5 shared papers)Benjamin R. Cowan (5 shared papers)Leigh Clark (5 shared papers)Philip R. Doyle (3 shared papers)Justin Edwards (3 shared papers)Saturnino Luz (5 shared papers)
In The Last Decade
Stephan Schlögl
35 papers receiving 493 citations
Peers
Comparison fields: 5 of 70
- Human-Computer Interaction 94
- Artificial Intelligence 286
- Social Psychology 144
- Health Informatics 9
- Computer Science Applications 36
Countries citing papers authored by Stephan Schlögl
This map shows the geographic impact of Stephan Schlögl'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 Stephan Schlögl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Schlögl more than expected).
Fields of papers citing papers by Stephan Schlögl
This network shows the impact of papers produced by Stephan Schlögl. 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 Stephan Schlögl. The network helps show where Stephan Schlögl may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Schlögl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 133 | |
| 2 | Proceedings of the SIGDIAL 2013 Conference | 2013 | 59 |
| 3 | 2019 | 52 | |
| 4 | 2018 | 48 | |
| 5 | 2014 | 23 | |
| 6 | 2019 | 23 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2010 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Stephan Schlögl
Stephan Schlögl is a scholar working on Artificial Intelligence, Social Psychology, Sociology and Political Science, Human-Computer Interaction and Demography, having authored 38 papers that have together received 509 indexed citations. Recurring topics across this work include AI in Service Interactions (12 papers), Social Robot Interaction and HRI (10 papers), Speech and dialogue systems (8 papers), Technology Use by Older Adults (5 papers), Innovative Human-Technology Interaction (4 papers), Multimedia Communication and Technology (3 papers), Artificial Intelligence in Games (2 papers) and Knowledge Management and Sharing (2 papers). The work is most often cited by research in Human-Computer Interaction (94 citations), Artificial Intelligence (286 citations), Social Psychology (144 citations), Health Informatics (9 citations) and Computer Science Applications (36 citations). Stephan Schlögl has collaborated with scholars based in Austria, Ireland and Spain. Frequent co-authors include Gavin Doherty, Saturnino Luz Filho, Cosmin Munteanu, Benjamin R. Cowan, Leigh Clark, Philip R. Doyle, Justin Edwards, Saturnino Luz, Matthew P. Aylett and João P. Cabral. Their work appears in journals such as Interacting with Computers, Journal of Ambient Intelligence and Humanized Computing, Robotics, Behaviour and Information Technology and Sustainability.
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.