Stefan Eilemann

2.3k citations
18 papers · 298 · h-index 9

Impact in

Papers in

Stefan Eilemann

18 papers receiving 289 citations

Peers

Stefan Eilemann
Comparison fields: 5 of 56
  • Computer Graphics and Computer-Aided Design 151
  • Biophysics 43
  • Computer Vision and Pattern Recognition 153
  • Human-Computer Interaction 41
  • Hardware and Architecture 22
Replace Oh-Hyun Kwon with:
Oh-Hyun Kwon United States
Ali K. Al-Awami Saudi Arabia
Gihyun Kwon South Korea
Ulrike Kister Germany
Torres Berg United States
Florence Cloppet France
Tung-Yu Wu Taiwan
Lauren Bradel United States
Siwei Dong China
Russell Turner United States
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Eilemann

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Eilemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200899
2 201832
3 201826
4 200722
5 200821
6 200616
7 201515
8 201213
9 20169
10 20178
11 20178
12 20068
13 20086
14 20105
15 20164
16 20153
17 20082
18 20141

About Stefan Eilemann

Stefan Eilemann is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Biophysics, Computer Networks and Communications and Cognitive Neuroscience, having authored 18 papers that have together received 298 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (11 papers), Advanced Vision and Imaging (4 papers), Medical Image Segmentation Techniques (3 papers), Data Visualization and Analytics (2 papers), Neural dynamics and brain function (2 papers), Digital Image Processing Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (151 citations), Biophysics (43 citations), Computer Vision and Pattern Recognition (153 citations), Human-Computer Interaction (41 citations) and Hardware and Architecture (22 citations). Stefan Eilemann has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Renato Pajarola, Maxim Makhinya, Felix Schürmann, Henry Markram, Marwan Abdellah, Juan Hernando, Nicolas Antille, Ahmet Bilgili, Marco Agus and Renaud Jolivet. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Frontiers in Neuroscience, IEEE Transactions on Visualization and Computer Graphics and Zurich Open Repository and Archive (University of Zurich).

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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