Elmar Eisemann

6.3k citations
186 papers · 4.3k · h-index 35

Impact in

Papers in

Elmar Eisemann

174 papers receiving 4.1k citations

Peers

Elmar Eisemann
Comparison fields: 5 of 158
  • Computer Graphics and Computer-Aided Design 1.6k
  • Computer Vision and Pattern Recognition 2.8k
  • Media Technology 674
  • Human-Computer Interaction 238
  • Computational Mechanics 741
Replace Dan B Goldman with:
Dan B Goldman United States
Yizhou Yu China
Chi–Keung Tang Hong Kong
Manuel M. Oliveira Brazil
Jingyi Yu China
Kristin Dana United States
Patrick Pérez France
John Lewis United States
Victor Lempitsky Russia
Lance R. Williams United States
Elmar Eisemann relative to Dan B Goldman United States Dan B Goldman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Elmar Eisemann

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Eisemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004453
2 2009213
3 2016211
4 2010184
5 2016171
6 2017150
7 2017108
8 2011105
9 200694
10 201688
11 201186
12 201686
13 200478
14 201376
15 201173
16
Single-pass GPU solid voxelization for real-time applications
200861
17 201759
18 201856
19 201156
20 201754

About Elmar Eisemann

Elmar Eisemann is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Media Technology and Cognitive Neuroscience, having authored 186 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (104 papers), Advanced Vision and Imaging (80 papers), 3D Shape Modeling and Analysis (45 papers), Data Visualization and Analytics (19 papers), Advanced Optical Imaging Technologies (15 papers), Visual perception and processing mechanisms (15 papers), Image Enhancement Techniques (15 papers) and Advanced Image Processing Techniques (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.6k citations), Computer Vision and Pattern Recognition (2.8k citations), Media Technology (674 citations), Human-Computer Interaction (238 citations) and Computational Mechanics (741 citations). Elmar Eisemann has collaborated with scholars based in Netherlands, Germany and France. Frequent co-authors include Frédo Durand, Hans‐Peter Seidel, Anna Vilanova, Sungkil Lee, Xavier Décoret, Thomas Höllt, Boudewijn P. F. Lelieveldt, Nicola Pezzotti, Tobias Ritschel and Karol Myszkowski. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Computers & Graphics and Optics Express.

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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