Eike Langbehn

1.3k citations
30 papers · 892 · h-index 14

Impact in

Papers in

Eike Langbehn

28 papers receiving 883 citations

Peers

Eike Langbehn
Comparison fields: 5 of 71
  • Human-Computer Interaction 762
  • Cognitive Neuroscience 319
  • Computer Vision and Pattern Recognition 280
  • Ocean Engineering 156
  • Media Technology 83
Replace Harald Frenz with:
Harald Frenz Germany
Sharif Razzaque United States
David M. Krum United States
Evan Suma Rosenberg United States
Timofey Grechkin United States
Paul Lubos Germany
Mahdi Azmandian United States
Kevin Arthur United States
Habib Abi-Rached United States
Brian Ries United States
Eike Langbehn relative to Harald Frenz Germany Harald Frenz's profile →
Citations per field
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Harald Frenz · 1×
Citations per year

Countries citing papers authored by Eike Langbehn

Since Specialization
Citations

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

Fields of papers citing papers by Eike Langbehn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Eike Langbehn, 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 Eike Langbehn Line = papers co-authored together Eike Langbehn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018167
2 2017112
3 2017107
4 201893
5 201759
6 201850
7 201843
8 201838
9 201735
10 201935
11 201622
12 201621
13 202019
14 201914
15 201613
16 201913
17 201810
18 20198
19 20168
20 20206

About Eike Langbehn

Eike Langbehn is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Media Technology, Mechanical Engineering and Ocean Engineering, having authored 30 papers that have together received 892 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (25 papers), Visual perception and processing mechanisms (9 papers), Advanced Optical Imaging Technologies (6 papers), Tactile and Sensory Interactions (6 papers), Evacuation and Crowd Dynamics (5 papers), Teleoperation and Haptic Systems (5 papers), Interactive and Immersive Displays (4 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (762 citations), Cognitive Neuroscience (319 citations), Computer Vision and Pattern Recognition (280 citations), Ocean Engineering (156 citations) and Media Technology (83 citations). Eike Langbehn has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Frank Steinicke, Paul Lubos, Gerd Bruder, Markus Lappe, Greg Welch, Alessandro Gulberti, Michael Rietzler, Enrico Rukzio, Teresa Hirzle and Jan Gugenheimer. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Journal of Vision, ACM Transactions on Applied Perception and 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).

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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