2026 Elmar Eisemann: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	40	9245	8978	165	155	241	7496

Overview

Elmar Eisemann is a researcher affiliated with Delft University of Technology in the Netherlands, specializing in computer science with a focus on computer vision, computer graphics, and related fields. Their body of work spans a range of topics including advanced imaging techniques, visual perception, and 3D shape modeling.

The primary fields of study for Elmar Eisemann include:

Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design
Atomic and Molecular Physics, and Optics
Cognitive Neuroscience
Computational Mechanics

Main research topics explored by Eisemann are:

Computer Graphics and Visualization Techniques
Advanced Vision and Imaging
Color Science and Applications
Visual perception and processing mechanisms
Data Visualization and Analytics
Color perception and design
3D Shape Modeling and Analysis

Eisemann has published extensively in several leading venues, including:

Computer Graphics Forum
arXiv (Cornell University)
Proceedings of the ACM on Computer Graphics and Interactive Techniques
IEEE Transactions on Visualization and Computer Graphics
Computers & Graphics

Frequent co-authors working with Eisemann include:

Sylvia C. Pont
Klaus Hildebrandt
Thomas Höllt
Anna Vilanova
Cehao Yu

Recent publications by Elmar Eisemann cover diverse topics in computer vision and graphics. These include:

"Systems analysis and controlled malaria infection in Europeans and Africans elucidate naturally acquired immunity," 2021, Nature Immunology
"DeltaConv," 2022, ACM Transactions on Graphics
"A learning approach for river debris detection," 2022, International Journal of Applied Earth Observation and Geoinformation
"Deep vanishing point detection: Geometric priors make dataset variations vanish," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"Multi-scale optical coherence tomography imaging and visualization of Vermeer's Girl with a Pearl Earring," 2020, Optics Express

Best Publications

Flash photography enhancement via intrinsic relighting

Elmar Eisemann;Frédo Durand

893
Citations
GigaVoxels: ray-guided streaming for efficient and detailed voxel rendering

Cyril Crassin;Fabrice Neyret;Sylvain Lefebvre;Elmar Eisemann

433
Citations
Approximated and User Steerable tSNE for Progressive Visual Analytics

Nicola Pezzotti;Boudewijn P. F. Lelieveldt;Laurens van der Maaten;Thomas Hollt

331
Citations
Interactive Indirect Illumination Using Voxel Cone Tracing

Cyril Crassin;Fabrice Neyret;Miguel Sainz;Simon Green

319
Citations
Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types

Vincent van Unen;Thomas Höllt;Thomas Höllt;Nicola Pezzotti;Na Li

269
Citations
A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia

Gennadii Donchyts;Jaap Schellekens;Hessel Winsemius;Elmar Eisemann

255
Citations
Real-time lens blur effects and focus control

Sungkil Lee;Elmar Eisemann;Hans-Peter Seidel

252
Citations
DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks

Nicola Pezzotti;Thomas Hollt;Jan Van Gemert;Boudewijn P.F. Lelieveldt

205
Citations
Fast scene voxelization and applications

Elmar Eisemann;Xavier Décoret

198
Citations
Hierarchical stochastic neighbor embedding

N. Pezzotti;T. Höllt;B. Lelieveldt;E. Eisemann

150
Citations
A perceptual model for disparity

Piotr Didyk;Tobias Ritschel;Elmar Eisemann;Karol Myszkowski

148
Citations
Cytosplore: Interactive Immune Cell Phenotyping for Large Single-Cell Datasets

T. Höllt;N. Pezzotti;V. van Unen;F. Koning

146
Citations
Real-Time Shadows

Elmar Eisemann;Michael Schwarz;Ulf Assarsson;Michael Wimmer

135
Citations
Automatic photo-to-terrain alignment for the annotation of mountain pictures

Lionel Baboud;Martin Cadik;Elmar Eisemann;Hans-Peter Seidel

127
Citations
A reconfigurable camera add-on for high dynamic range, multispectral, polarization, and light-field imaging

Alkhazur Manakov;John F. Restrepo;Oliver Klehm;Ramon Hegedüs

120
Citations
Single-pass GPU solid voxelization for real-time applications

Elmar Eisemann;Xavier Décoret

113
Citations
CNNs on surfaces using rotation-equivariant features

Ruben Wiersma;Elmar Eisemann;Klaus Hildebrandt

102
Citations
Depth-of-field rendering with multiview synthesis

Sungkil Lee;Elmar Eisemann;Hans-Peter Seidel

88
Citations
Sample based visibility for soft shadows using alias-free shadow maps

Erik Sintorn;Elmar Eisemann;Ulf Assarsson

87
Citations
Physically-based real-time lens flare rendering

Matthias Hullin;Elmar Eisemann;Hans-Peter Seidel;Sungkil Lee

80
Citations
A luminance-contrast-aware disparity model and applications

Piotr Didyk;Tobias Ritschel;Elmar Eisemann;Karol Myszkowski

79
Citations
Proceedings of the Eurographics Symposium on Rendering

Michael Manzke;Elmar Eisemann;Eugene Fiume

14
Citations

Frequent Co-Authors

Hans-Peter Seidel Max Planck Institute for Informatics

Anna Vilanova Eindhoven University of Technology

Tobias Ritschel University College London

Karol Myszkowski Max Planck Institute for Informatics

Michael Wimmer TU Wien

Boudewijn P. F. Lelieveldt Leiden University Medical Center

Marcus Magnor Technische Universität Braunschweig

Frits Koning Leiden University Medical Center

Fabrice Neyret French Institute for Research in Computer Science and Automation - INRIA

Eugene Fiume Simon Fraser University

External Links

Personal website of Elmar Eisemann Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA opens doors to broad educational and career opportunities. Many students are now exploring flexible alternatives—like online degrees—to help balance their studies with work or personal commitments.

For those seeking leadership or business skills, the cheapest mba online programs offer a practical way to supplement technical expertise with management training. Alternatively, if you’re aiming for rapid career advancement, consider one of the one year masters programs online to earn your credentials in less time.

If speed and return on investment are your top priorities, exploring the fastest degree to get online can help you kickstart your career with minimal delay. As artificial intelligence becomes increasingly crucial in tech fields, finding the best online ai degree programs can position you at the forefront of innovation and job opportunities.

By combining online learning with career-focused planning, you can design a study path that suits your pace, budget, and ambitions—helping you make the most of your Computer Science journey in the USA.