Axel Gräser
Impact in
- Human-Computer Interaction top 0.5%
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 1%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Robotic Path Planning Algorithms 8
- Advanced Vision and Imaging 7
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- Gaze Tracking and Assistive Technology 19
- Co-authors
- Ivan Volosyak (13 shared papers)Ola Friman (4 shared papers)Thorsten Lüth (8 shared papers)Diana Valbuena (8 shared papers)Danijela Ristić–Durrant (17 shared papers)Hubert Cecotti (5 shared papers)Brendan Z. Allison (3 shared papers)Maria Kyrarini (11 shared papers)
In The Last Decade
Axel Gräser
72 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 92
- Human-Computer Interaction 580
- Cognitive Neuroscience 1.6k
- Cellular and Molecular Neuroscience 984
- Signal Processing 161
- Occupational Therapy 52
Countries citing papers authored by Axel Gräser
This map shows the geographic impact of Axel Gräser'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 Axel Gräser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axel Gräser more than expected).
Fields of papers citing papers by Axel Gräser
This network shows the impact of papers produced by Axel Gräser. 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 Axel Gräser. The network helps show where Axel Gräser may publish in the future.
Co-authors
The 25 scholars most cited alongside Axel Gräser, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 471 | |
| 2 | 2010 | 292 | |
| 3 | 2011 | 154 | |
| 4 | 2018 | 88 | |
| 5 | 2009 | 85 | |
| 6 | 2010 | 66 | |
| 7 | 2007 | 64 | |
| 8 | 2009 | 62 | |
| 9 | 2013 | 60 | |
| 10 | 2011 | 58 | |
| 11 | 2007 | 57 | |
| 12 | 2007 | 52 | |
| 13 | 2009 | 48 | |
| 14 | 2017 | 42 | |
| 15 | 2009 | 35 | |
| 16 | 2011 | 30 | |
| 17 | 2017 | 28 | |
| 18 | 2009 | 27 | |
| 19 | 2019 | 26 | |
| 20 | 2016 | 26 |
About Axel Gräser
Axel Gräser is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Control and Systems Engineering and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (22 papers), Neuroscience and Neural Engineering (19 papers), Gaze Tracking and Assistive Technology (19 papers), Robotics and Sensor-Based Localization (15 papers), Robot Manipulation and Learning (13 papers), Robotic Path Planning Algorithms (8 papers), Advanced Vision and Imaging (7 papers) and Robotics and Automated Systems (6 papers). The work is most often cited by research in Human-Computer Interaction (580 citations), Cognitive Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (984 citations), Signal Processing (161 citations) and Occupational Therapy (52 citations). Axel Gräser has collaborated with scholars based in Germany, Austria and Romania. Frequent co-authors include Ivan Volosyak, Ola Friman, Thorsten Lüth, Diana Valbuena, Danijela Ristić–Durrant, Hubert Cecotti, Brendan Z. Allison, Maria Kyrarini, Sorin Grigorescu and Christian Mandel. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Robotica, IEEE Transactions on Biomedical Engineering, Autonomous Robots and Assistive Technology.
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.