Michael Barz
Impact in
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology
- Virtual Reality Applications and Impacts
- Interactive and Immersive Displays
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- Visual Attention and Saliency Detection
- Augmented Reality Applications
- Context-Aware Activity Recognition Systems
Papers in
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- Gaze Tracking and Assistive Technology 20
- Hand Gesture Recognition Systems 3
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- Visual Attention and Saliency Detection 10
- Multimodal Machine Learning Applications 4
- Co-authors
- Daniel Sonntag (38 shared papers)Jochen Kühn (2 shared papers)Sebastian Kapp (2 shared papers)Florian Daiber (3 shared papers)Andreas Bulling (3 shared papers)Rajarshi Biswas (1 shared paper)Sarah Malone (4 shared papers)Markus Weber (1 shared paper)
In The Last Decade
Michael Barz
40 papers receiving 381 citations
Peers
Comparison fields: 5 of 71
- Human-Computer Interaction 212
- Computer Vision and Pattern Recognition 182
- Health Informatics 10
- Cognitive Neuroscience 55
- Ophthalmology 20
Countries citing papers authored by Michael Barz
This map shows the geographic impact of Michael Barz'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 Barz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Barz more than expected).
Fields of papers citing papers by Michael Barz
This network shows the impact of papers produced by Michael Barz. 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 Barz. The network helps show where Michael Barz may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Barz, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 74 | |
| 2 | 2018 | 23 | |
| 3 | 2021 | 22 | |
| 4 | 2016 | 22 | |
| 5 | 2016 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2016 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2015 | 12 | |
| 14 | THE MECHATRONIC VEHICLE CORNER OF DARMSTADT UNIVERSITY OF TECHNOLOGY-INTERACTION AND COOPERATION OF A SENSOR TIRE, NEW LOW-ENERGY DISC BRAKE AND SMART WHEEL SUSPENSION | 2002 | 11 |
| 15 | 2020 | 10 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2012 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 6 |
About Michael Barz
Michael Barz is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 44 papers that have together received 389 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (20 papers), Retinal Imaging and Analysis (10 papers), Visual Attention and Saliency Detection (10 papers), Speech and dialogue systems (6 papers), Topic Modeling (5 papers), Multimodal Machine Learning Applications (4 papers), Hand Gesture Recognition Systems (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Human-Computer Interaction (212 citations), Computer Vision and Pattern Recognition (182 citations), Health Informatics (10 citations), Cognitive Neuroscience (55 citations) and Ophthalmology (20 citations). Michael Barz has collaborated with scholars based in Germany, Canada and Vietnam. Frequent co-authors include Daniel Sonntag, Jochen Kühn, Sebastian Kapp, Florian Daiber, Andreas Bulling, Rajarshi Biswas, Sarah Malone, Markus Weber, Roland Brünken and Peter Poller. Their work appears in journals such as Sensors, British Journal of Educational Psychology, International Journal of Automotive Technology, Frontiers in Big Data and Scientific Reports.
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.