Bernhard E. Riecke

6.4k citations
209 papers · 4.3k · h-index 37

Impact in

Papers in

Bernhard E. Riecke

200 papers receiving 4.1k citations

Peers

Bernhard E. Riecke
Comparison fields: 5 of 140
  • Human-Computer Interaction 2.3k
  • Cognitive Neuroscience 1.7k
  • Automotive Engineering 643
  • Social Psychology 796
  • Computer Vision and Pattern Recognition 778
Replace Andrew T. Duchowski with:
Andrew T. Duchowski United States
Andrew C. Beall United States
Bob G. Witmer United States
Kay M. Stanney United States
Mary C. Whitton United States
Holger Regenbrecht New Zealand
Marcus Nyström Sweden
Niels Henze Germany
Frank Steinicke Germany
Marc Erich Latoschik Germany
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Citations per field
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Citations per year

Countries citing papers authored by Bernhard E. Riecke

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard E. Riecke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernhard E. Riecke. 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 Bernhard E. Riecke. The network helps show where Bernhard E. Riecke may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015236
2 2015202
3 2002128
4 2007127
5 2007118
6 2012106
7 2006104
8 2018103
9 200693
10 201876
11 201673
12 200970
13 201770
14 201865
15 201864
16 201961
17 201359
18 201650
19 202049
20 201248

About Bernhard E. Riecke

Bernhard E. Riecke is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Automotive Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 209 papers that have together received 4.3k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (117 papers), Visual perception and processing mechanisms (62 papers), Spatial Cognition and Navigation (52 papers), Tactile and Sensory Interactions (32 papers), Innovative Human-Technology Interaction (19 papers), Action Observation and Synchronization (17 papers), Advanced Optical Imaging Technologies (17 papers) and Augmented Reality Applications (15 papers). The work is most often cited by research in Human-Computer Interaction (2.3k citations), Cognitive Neuroscience (1.7k citations), Automotive Engineering (643 citations), Social Psychology (796 citations) and Computer Vision and Pattern Recognition (778 citations). Bernhard E. Riecke has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include HH Bülthoff, Alexandra Kitson, Ekaterina R. Stepanova, Ernst Kruijff, Jennifer L. Campos, Behrang Keshavarz, Daniel Feuereissen, Markus von der Heyde, Daniel Zielasko and Jörg Schulte-Pelkum. Their work appears in journals such as Frontiers in Psychology, Journal of Vision, ACM Transactions on Applied Perception, IEEE Transactions on Visualization and Computer Graphics and ACM Transactions on Graphics.

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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