Daniel Sonntag
Impact in
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
- Health Informatics top 2%
Papers in
-
- Topic Modeling 22
- Natural Language Processing Techniques 20
- Speech and dialogue systems 19
- Semantic Web and Ontologies 19
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- Visual Attention and Saliency Detection 13
- Augmented Reality Applications 10
- Co-authors
- Michael Barz (38 shared papers)Takumi Toyama (12 shared papers)Jason Orlosky (8 shared papers)Kiyoshi Kiyokawa (5 shared papers)Jochen Kühn (2 shared papers)Sebastian Kapp (2 shared papers)Sonja Zillner (8 shared papers)Markus Weber (6 shared papers)
In The Last Decade
Daniel Sonntag
127 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 109
- Human-Computer Interaction 373
- Health Informatics 57
- Computer Vision and Pattern Recognition 360
- Artificial Intelligence 327
- Cognitive Neuroscience 128
Countries citing papers authored by Daniel Sonntag
This map shows the geographic impact of Daniel Sonntag'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 Daniel Sonntag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sonntag more than expected).
Fields of papers citing papers by Daniel Sonntag
This network shows the impact of papers produced by Daniel Sonntag. 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 Daniel Sonntag. The network helps show where Daniel Sonntag may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sonntag, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 74 | |
| 2 | 2015 | 37 | |
| 3 | 2016 | 31 | |
| 4 | 2022 | 30 | |
| 5 | LingInfo: Design and Applications of a Model for the Integration of Linguistic Information in Ontologies | 2006 | 29 |
| 6 | 2014 | 29 | |
| 7 | 2015 | 25 | |
| 8 | 2018 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2016 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2020 | 20 | |
| 13 | 2015 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2005 | 18 | |
| 17 | The Handbook of Multimodal-Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations | 2017 | 17 |
| 18 | 2021 | 16 | |
| 19 | 2016 | 15 | |
| 20 | 2024 | 15 |
About Daniel Sonntag
Daniel Sonntag is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 138 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (31 papers), Topic Modeling (22 papers), Natural Language Processing Techniques (20 papers), Speech and dialogue systems (19 papers), Semantic Web and Ontologies (19 papers), Biomedical Text Mining and Ontologies (17 papers), Visual Attention and Saliency Detection (13 papers) and Augmented Reality Applications (10 papers). The work is most often cited by research in Human-Computer Interaction (373 citations), Health Informatics (57 citations), Computer Vision and Pattern Recognition (360 citations), Artificial Intelligence (327 citations) and Cognitive Neuroscience (128 citations). Daniel Sonntag has collaborated with scholars based in Germany, Hungary and Japan. Frequent co-authors include Michael Barz, Takumi Toyama, Jason Orlosky, Kiyoshi Kiyokawa, Jochen Kühn, Sebastian Kapp, Sonja Zillner, Markus Weber, Norbert Reithinger and Mareike Hartmann. Their work appears in journals such as Sensors, British Journal of Educational Psychology, Medical Image Analysis, AI Magazine and Blood.
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.