Michael Nischt
Impact in
- Human-Computer Interaction top 1%
- Interactive and Immersive Displays
- Innovative Human-Technology Interaction
- Usability and User Interface Design
- Virtual Reality Applications and Impacts
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
Papers in
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- Interactive and Immersive Displays 3
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- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Gilles Bailly (2 shared papers)Jörg Müller (2 shared papers)Florian Alt (1 shared paper)Robert F. Walter (1 shared paper)Elisabeth André (4 shared papers)Mitsuru Ishizuka (2 shared papers)Helmut Prendinger (2 shared papers)Matthias Rehm (2 shared papers)
- Journals
- Lecture notes in computer science (3 papers)ERef Bayreuth (University of Bayreuth) (2 papers)
- Partner nations
- GermanyUnited KingdomJapan
In The Last Decade
Michael Nischt
10 papers receiving 384 citations
Peers
Comparison fields: 5 of 42
- Human-Computer Interaction 301
- Cognitive Neuroscience 135
- Computer Vision and Pattern Recognition 117
- Social Psychology 57
- Information Systems and Management 19
Countries citing papers authored by Michael Nischt
This map shows the geographic impact of Michael Nischt'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 Michael Nischt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nischt more than expected).
Fields of papers citing papers by Michael Nischt
This network shows the impact of papers produced by Michael Nischt. 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 Michael Nischt. The network helps show where Michael Nischt may publish in the future.
Co-authors
The 15 scholars most cited alongside Michael Nischt, 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 | 2012 | 258 | |
| 2 | 2012 | 40 | |
| 3 | 2006 | 29 | |
| 4 | 2005 | 25 | |
| 5 | 2008 | 14 | |
| 6 | 2008 | 12 | |
| 7 | 2009 | 6 | |
| 8 | Creating Three-Dimensional Animated Characters: An Experience Report and Recommendations of Good Practice | 2006 | 5 |
| 9 | 2005 | 3 | |
| 10 | 2009 | 1 |
About Michael Nischt
Michael Nischt is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Statistical and Nonlinear Physics and Ocean Engineering, having authored 10 papers that have together received 393 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (3 papers), Tactile and Sensory Interactions (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Evacuation and Crowd Dynamics (2 papers), Opinion Dynamics and Social Influence (2 papers), Social Robot Interaction and HRI (2 papers), Artificial Intelligence in Games (2 papers) and Human Motion and Animation (1 paper). The work is most often cited by research in Human-Computer Interaction (301 citations), Cognitive Neuroscience (135 citations), Computer Vision and Pattern Recognition (117 citations), Social Psychology (57 citations) and Information Systems and Management (19 citations). Michael Nischt has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Gilles Bailly, Jörg Müller, Florian Alt, Robert F. Walter, Elisabeth André, Mitsuru Ishizuka, Helmut Prendinger, Matthias Rehm, Rahul Swaminathan and Sven Kratz. Their work appears in journals such as Lecture notes in computer science and ERef Bayreuth (University of Bayreuth).
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.