Michael Dörr
Impact in
- Human-Computer Interaction top 0.5%
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms
Papers in
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- Visual perception and processing mechanisms 39
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- Visual Attention and Saliency Detection 39
- Image and Video Quality Assessment 6
- Advanced Vision and Imaging 6
- Co-authors
- Erhardt Barth (42 shared papers)Eleonora Vig (17 shared papers)Thomas Martinetz (16 shared papers)David Cox (3 shared papers)Karl R. Gegenfurtner (9 shared papers)Peter J. Bex (21 shared papers)Mikhail Startsev (12 shared papers)Zhong‐Lin Lu (21 shared papers)
- Journals
- Journal of Vision (9 papers)Investigative Ophthalmology & Visual Science (4 papers)Scientific Reports (3 papers)Neuropsychologia (2 papers)Perception (2 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Michael Dörr
99 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 121
- Human-Computer Interaction 752
- Cognitive Neuroscience 907
- Computer Vision and Pattern Recognition 982
- Sensory Systems 169
- Ophthalmology 262
Countries citing papers authored by Michael Dörr
This map shows the geographic impact of Michael Dörr'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 Dörr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Dörr more than expected).
Fields of papers citing papers by Michael Dörr
This network shows the impact of papers produced by Michael Dörr. 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 Dörr. The network helps show where Michael Dörr may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Dörr, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 349 | |
| 2 | 2014 | 295 | |
| 3 | 2012 | 192 | |
| 4 | 2013 | 97 | |
| 5 | 2012 | 97 | |
| 6 | 2018 | 87 | |
| 7 | 2014 | 77 | |
| 8 | 2015 | 65 | |
| 9 | 2018 | 51 | |
| 10 | 2013 | 47 | |
| 11 | 2012 | 41 | |
| 12 | 2011 | 38 | |
| 13 | 2008 | 36 | |
| 14 | 2009 | 34 | |
| 15 | Gaze beats mouse: A case study | 2007 | 33 |
| 16 | 2017 | 29 | |
| 17 | 2006 | 29 | |
| 18 | 2012 | 28 | |
| 19 | 2019 | 28 | |
| 20 | 2015 | 28 |
About Michael Dörr
Michael Dörr is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction, Ophthalmology and Epidemiology, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (41 papers), Visual Attention and Saliency Detection (39 papers), Visual perception and processing mechanisms (39 papers), Ophthalmology and Visual Impairment Studies (13 papers), Glaucoma and retinal disorders (13 papers), Retinal Imaging and Analysis (9 papers), Image and Video Quality Assessment (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Human-Computer Interaction (752 citations), Cognitive Neuroscience (907 citations), Computer Vision and Pattern Recognition (982 citations), Sensory Systems (169 citations) and Ophthalmology (262 citations). Michael Dörr has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Erhardt Barth, Eleonora Vig, Thomas Martinetz, David Cox, Karl R. Gegenfurtner, Peter J. Bex, Mikhail Startsev, Zhong‐Lin Lu, Halszka Jarodzka and Peter Gerjets. Their work appears in journals such as Journal of Vision, Investigative Ophthalmology & Visual Science, Scientific Reports, Neuropsychologia and Perception.
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.