Jan Drewes
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Face Recognition and Perception
- EEG and Brain-Computer Interfaces
Papers in
-
- Visual perception and processing mechanisms 17
- Neural dynamics and brain function 13
- Neural and Behavioral Psychology Studies 5
- Face Recognition and Perception 4
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- Gaze Tracking and Assistive Technology 8
- Co-authors
- Weina Zhu (16 shared papers)Rufin VanRullen (2 shared papers)David Melcher (10 shared papers)Karl R. Gegenfurtner (6 shared papers)Horst Kurt Schminke (4 shared papers)Yingzhou Hu (1 shared paper)Xintian Hu (1 shared paper)Anna Montagnini (2 shared papers)
In The Last Decade
Jan Drewes
36 papers receiving 524 citations
Peers
Comparison fields: 5 of 75
- Human-Computer Interaction 102
- Cognitive Neuroscience 357
- Sensory Systems 39
- Ophthalmology 55
- Oceanography 69
Countries citing papers authored by Jan Drewes
This map shows the geographic impact of Jan Drewes'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 Jan Drewes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Drewes more than expected).
Fields of papers citing papers by Jan Drewes
This network shows the impact of papers produced by Jan Drewes. 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 Jan Drewes. The network helps show where Jan Drewes may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Drewes, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 99 | |
| 2 | 2014 | 59 | |
| 3 | 2015 | 40 | |
| 4 | 2012 | 40 | |
| 5 | 2013 | 35 | |
| 6 | 2011 | 32 | |
| 7 | 2016 | 32 | |
| 8 | 2016 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2013 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2008 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2009 | 11 | |
| 15 | 2007 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2009 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2023 | 5 |
About Jan Drewes
Jan Drewes is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Computer Vision and Pattern Recognition, Ecology and Experimental and Cognitive Psychology, having authored 39 papers that have together received 544 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (17 papers), Neural dynamics and brain function (13 papers), Gaze Tracking and Assistive Technology (8 papers), Visual Attention and Saliency Detection (7 papers), Neural and Behavioral Psychology Studies (5 papers), Multisensory perception and integration (4 papers), Olfactory and Sensory Function Studies (4 papers) and Face Recognition and Perception (4 papers). The work is most often cited by research in Human-Computer Interaction (102 citations), Cognitive Neuroscience (357 citations), Sensory Systems (39 citations), Ophthalmology (55 citations) and Oceanography (69 citations). Jan Drewes has collaborated with scholars based in Germany, China and Italy. Frequent co-authors include Weina Zhu, Rufin VanRullen, David Melcher, Karl R. Gegenfurtner, Horst Kurt Schminke, Yingzhou Hu, Xintian Hu, Anna Montagnini, Andreas Wutz and Guillaume S. Masson. Their work appears in journals such as Journal of Vision, Scientific Reports, Zootaxa, PLoS ONE and Journal of Neuroscience.
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.