Michael Dörr

92 papers receiving 2.3k citations

Michael Dörr's Hit Papers

Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images 2014 · 320 citations
3200+5+10Years since publication100200300

Peers

Michael Dörr
Comparison fields: 5 of 89
  • Human-Computer Interaction 576
  • Computer Vision and Pattern Recognition 811
  • Cognitive Neuroscience 658
  • Ophthalmology 106
  • Experimental and Cognitive Psychology 181
Replace Risto Näsänen with:
Risto Näsänen Finland
Lester C. Loschky United States
Peter John Bex United States
Hans Strasburger Germany
Ingo Rentschler Germany
Russell L. Woods United States
Robert J. Peters United States
Alexander C. Schütz Germany
Preeti Verghese United States
Brian Rogers United Kingdom
Michael Dörr relative to Risto Näsänen Finland Risto Näsänen's profile →
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Citations per year

Countries citing papers authored by Michael Dörr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Dörr Line = papers co-authored together Michael Dörr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Variability of eye movements when viewing dynamic natural scenes
Hit paper breakdown →
2010354
2
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
Hit paper breakdown →
2014320
3 2012197
4 2012100
5 201398
6 201895
7 201482
8 201568
9 201855
10 201347
11 201241
12 201139
13 201939
14 200934
15 201532
16
Gaze beats mouse: A case study
200731
17 201731
18 201931
19 200630
20 201730

About Michael Dörr

Michael Dörr is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Epidemiology and Social Psychology, having authored 94 papers that have together received 2.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (31 papers), Gaze Tracking and Assistive Technology (25 papers), Visual Attention and Saliency Detection (23 papers), Ophthalmology and Visual Impairment Studies (11 papers), Human-Automation Interaction and Safety (5 papers), Multiple Sclerosis Research Studies (4 papers), Statistical Methods and Bayesian Inference (3 papers) and Reading and Literacy Development (2 papers). The work is most often cited by research in Human-Computer Interaction (576 citations), Computer Vision and Pattern Recognition (811 citations), Cognitive Neuroscience (658 citations), Ophthalmology (106 citations) and Experimental and Cognitive Psychology (181 citations). Michael Dörr has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Erhardt Barth, Eleonora Vig, David Cox, Thomas Martinetz, Mikhail Startsev, Karl R. Gegenfurtner, Peter John Bex, Zhong-Lin Lu, Halszka M. Jarodzka and Tamara van Gog. Their work appears in journals such as Journal of Vision, Investigative Ophthalmology & Visual Science, Scientific Reports, Translational Vision Science & Technology 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.

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