Lars Omlor

26 papers receiving 605 citations

Peers

Lars Omlor
Comparison fields: 5 of 96
  • Social Psychology 213
  • Cognitive Neuroscience 189
  • Experimental and Cognitive Psychology 129
  • Physical Therapy, Sports Therapy and Rehabilitation 38
  • Computer Vision and Pattern Recognition 178
Replace Rafael Laboissière with:
Rafael Laboissière France
Flip Phillips United States
Gregory Burton United States
Erwin Schoonderwaldt Germany
Marianne Maertens Germany
Frederick J. Diedrich United States
Laura Trutoiu United States
Masaaki Honda Japan
Breanna Erin Studenka United States
Nicholas Port United States
Lars Omlor relative to Rafael Laboissière France Rafael Laboissière's profile →
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Rafael Laboissière · 1×
Citations per year

Countries citing papers authored by Lars Omlor

Since Specialization
Citations

This map shows the geographic impact of Lars Omlor'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 Lars Omlor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Omlor more than expected).

Fields of papers citing papers by Lars Omlor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Omlor. 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 Lars Omlor. The network helps show where Lars Omlor may publish in the future.

Co-authors

The 25 scholars most cited alongside Lars Omlor, 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 Lars Omlor Line = papers co-authored together Lars Omlor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009281
2 201273
3 200854
4 200634
5 201131
6 200924
7 202219
8 200718
9 202216
10 201914
11 201111
12 202110
13 20099
14 20068
15 20116
16
Selforganization of character behavior by mixing of learned movement primitives.
20084
17 20223
18
Extraction of spatio-temporal primitives of emotional body expressions
20063
19 20072
20 20092

About Lars Omlor

Lars Omlor is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Signal Processing, Radiology, Nuclear Medicine and Imaging and Control and Systems Engineering, having authored 27 papers that have together received 629 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Blind Source Separation Techniques (7 papers), Human Motion and Animation (6 papers), Advanced X-ray and CT Imaging (5 papers), Medical Imaging Techniques and Applications (5 papers), Speech and Audio Processing (5 papers), Action Observation and Synchronization (3 papers) and Advanced X-ray Imaging Techniques (3 papers). The work is most often cited by research in Social Psychology (213 citations), Cognitive Neuroscience (189 citations), Experimental and Cognitive Psychology (129 citations), Physical Therapy, Sports Therapy and Rehabilitation (38 citations) and Computer Vision and Pattern Recognition (178 citations). Lars Omlor has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Martin A. Giese, Andrea Christensen, Claire L. Roether, Tamar Flash, Alain Berthoz, Jean-Jacques Slotine, Albert Mukovskiy, Andriy Andreyev, Dominik Endres and Jeff Irwin. Their work appears in journals such as Experimental Brain Research, Investigative Ophthalmology & Visual Science, Journal of Vision, Ophthalmology Retina and Journal of Biomedical Optics.

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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