Elmar Eisemann

6.3k total citations
186 papers, 4.3k citations indexed

About

Elmar Eisemann is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Elmar Eisemann has authored 186 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Computer Vision and Pattern Recognition, 105 papers in Computer Graphics and Computer-Aided Design and 48 papers in Computational Mechanics. Recurrent topics in Elmar Eisemann's work include Computer Graphics and Visualization Techniques (104 papers), Advanced Vision and Imaging (80 papers) and 3D Shape Modeling and Analysis (45 papers). Elmar Eisemann is often cited by papers focused on Computer Graphics and Visualization Techniques (104 papers), Advanced Vision and Imaging (80 papers) and 3D Shape Modeling and Analysis (45 papers). Elmar Eisemann collaborates with scholars based in Netherlands, Germany and France. Elmar Eisemann's 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 and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Elmar Eisemann

174 papers receiving 4.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Elmar Eisemann Netherlands	35	2.8k	1.6k	741	674	269	186	4.3k
John Lewis United States	35	3.8k 1.3×	957 0.6×	1.4k 1.9×	412 0.6×	482 1.8×	191	6.6k
Holly Rushmeier United States	32	3.4k 1.2×	2.3k 1.5×	1.5k 2.1×	454 0.7×	111 0.4×	159	5.5k
Lance R. Williams United States	27	3.2k 1.1×	1.7k 1.1×	958 1.3×	202 0.3×	96 0.4×	87	4.5k
Charles R. Dyer United States	33	4.4k 1.6×	1.0k 0.6×	373 0.5×	496 0.7×	684 2.5×	123	5.7k
Erik Reinhard United States	29	6.2k 2.2×	1.3k 0.8×	285 0.4×	1.6k 2.4×	570 2.1×	108	7.4k
Patrick Pérez France	26	8.5k 3.0×	1.6k 1.0×	985 1.3×	987 1.5×	857 3.2×	78	9.7k
Kristin Dana United States	30	2.8k 1.0×	846 0.5×	555 0.7×	452 0.7×	533 2.0×	76	4.5k
Xiaopeng Zhang China	37	2.5k 0.9×	600 0.4×	592 0.8×	739 1.1×	450 1.7×	325	4.9k
Manuel M. Oliveira Brazil	29	2.8k 1.0×	789 0.5×	542 0.7×	800 1.2×	76 0.3×	114	4.1k
James Davis United States	34	3.7k 1.3×	1.1k 0.7×	1.6k 2.2×	464 0.7×	544 2.0×	109	5.4k

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-authorship network of co-authors of Elmar Eisemann

This figure shows the co-authorship network connecting the top 25 collaborators of Elmar Eisemann. A scholar is included among the top collaborators of Elmar Eisemann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elmar Eisemann. Elmar Eisemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Molenaar, M. & Elmar Eisemann. (2025). Transform-Aware Sparse Voxel Directed Acyclic Graphs. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 8(1). 1–16.

Eisemann, Elmar, et al.. (2025). Surface-Aware Distilled 3D Semantic Features. 1–12.

Eisemann, Elmar, et al.. (2025). SpineLoft: Interactive Spine-based 2D-to-3D Modeling. SPIRE - Sciences Po Institutional REpository. 1–16.

Eisemann, Elmar, et al.. (2024). Controlled Spectral Uplifting for Indirect-Light-Metamerism. 1–9. 1 indexed citations

Molenaar, M., Marius Staring, René van Egmond, et al.. (2024). Depth for Multi‐Modal Contour Ensembles. Computer Graphics Forum. 43(3).

Bousseau, Adrien, et al.. (2024). Single‐Image SVBRDF Estimation with Learned Gradient Descent. Computer Graphics Forum. 43(2). 8 indexed citations

Eisemann, Elmar, et al.. (2023). Metameric: Spectral Uplifting via Controllable Color Constraints. Research Repository (Delft University of Technology). 1–10. 2 indexed citations

Eisemann, Elmar, et al.. (2022). ComVis‐Sail: Comparative Sailing Performance Visualization for Coaching. Computer Graphics Forum. 42(1). 86–100.

Eisemann, Elmar, et al.. (2021). Geometric Sample Reweighting for Monte Carlo Integration. Computer Graphics Forum. 40(7). 109–119. 1 indexed citations

10.

Eisemann, Elmar, et al.. (2021). A multi‐pass method for accelerated spectral sampling. Computer Graphics Forum. 40(7). 141–148. 1 indexed citations

11.

Jalba, Andrei C., et al.. (2020). Data Assimilation for Full 4D PC‐MRI Measurements: Physics‐Based Denoising and Interpolation. Computer Graphics Forum. 39(6). 496–512. 5 indexed citations

12.

Eisemann, Martin, et al.. (2020). Next Event Estimation++: Visibility Mapping for Efficient Light Transport Simulation. Computer Graphics Forum. 39(7). 205–217. 1 indexed citations

13.

Billeter, Markus, et al.. (2019). ShutterApp: Spatio‐temporal Exposure Control for Videos. Computer Graphics Forum. 38(7). 675–683.

14.

Pezzotti, Nicola, Alexander Mordvintsev, Thomas Höllt, et al.. (2018). Linear tSNE optimization for the Web.. arXiv (Cornell University). 4 indexed citations

15.

Eisemann, Elmar, et al.. (2017). Depth Map Design and Depth-based Effects With a Single Image. Graphics Interface. 57–64. 4 indexed citations

16.

Eisemann, Elmar, et al.. (2015). Procedural Content Graphs for Urban Modeling. SHILAP Revista de lepidopterología. 2015. 1–15. 12 indexed citations

17.

Tutenel, Tim, et al.. (2013). Smooth, Interactive Rendering Techniques on Large-Scale, Geospatial Data in Flood Visualizations. Research Repository (Delft University of Technology). 2 indexed citations

18.

Eisemann, Martin, Elmar Eisemann, Hans‐Peter Seidel, & Marcus Magnor. (2010). Photo zoom: high resolution from unordered image collections. Graphics Interface. 71–78. 6 indexed citations

19.

Eisemann, Elmar & Xavier Décoret. (2008). Single-pass GPU Solid Voxelization and Applications. HAL (Le Centre pour la Communication Scientifique Directe). 322. 73–80. 6 indexed citations

20.

Eisemann, Elmar. (2004). View-dependent Object Simplification and its Application in the case of Billboard Clouds. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

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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