Sébastien Speierer

610 total citations
10 papers, 423 citations indexed

About

Sébastien Speierer is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Sébastien Speierer has authored 10 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Graphics and Computer-Aided Design and 3 papers in Computational Mechanics. Recurrent topics in Sébastien Speierer's work include Computer Graphics and Visualization Techniques (8 papers), Image Enhancement Techniques (4 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). Sébastien Speierer is often cited by papers focused on Computer Graphics and Visualization Techniques (8 papers), Image Enhancement Techniques (4 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). Sébastien Speierer collaborates with scholars based in Switzerland. Sébastien Speierer's co-authors include Wenzel Jakob, Delio Vicini, Merlin Nimier-David, Nicolas Roussel, Yinlin Hu, Pascal Fua, Mathieu Salzmann, Iliyan Georgiev, Tizian Zeltner and Felix Schürmann and has published in prestigious journals such as ACM Transactions on Graphics and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Sébastien Speierer

10 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sébastien Speierer Switzerland 7 255 250 164 76 32 10 423
Edgar Tretschk Germany 4 386 1.5× 244 1.0× 242 1.5× 44 0.6× 28 0.9× 4 477
Anpei Chen China 8 612 2.4× 366 1.5× 285 1.7× 60 0.8× 23 0.7× 14 694
Delio Vicini Switzerland 9 366 1.4× 381 1.5× 242 1.5× 17 0.2× 10 0.3× 14 549
Xavier Pueyo Spain 12 370 1.5× 439 1.8× 191 1.2× 13 0.2× 17 0.5× 41 553
Ramsay Dyer Canada 12 206 0.8× 242 1.0× 299 1.8× 23 0.3× 31 1.0× 28 508
R. Keith Morley United States 5 160 0.6× 172 0.7× 90 0.5× 28 0.4× 6 0.2× 7 279
Ulrich Clarenz Germany 12 181 0.7× 315 1.3× 447 2.7× 20 0.3× 10 0.3× 15 619
Kolmogorov United States 4 444 1.7× 65 0.3× 81 0.5× 71 0.9× 7 0.2× 4 520
Tai-Pang Wu Hong Kong 15 616 2.4× 313 1.3× 165 1.0× 37 0.5× 10 0.3× 22 701
Paul Burchard United States 5 163 0.6× 184 0.7× 244 1.5× 23 0.3× 9 0.3× 5 392

Countries citing papers authored by Sébastien Speierer

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Speierer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Speierer

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Speierer. A scholar is included among the top collaborators of Sébastien Speierer 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 Sébastien Speierer. Sébastien Speierer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Speierer, Sébastien, et al.. (2025). Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media. ACM Transactions on Graphics. 44(1). 1–17. 2 indexed citations
2.
Vicini, Delio, Sébastien Speierer, & Wenzel Jakob. (2022). Differentiable signed distance function rendering. ACM Transactions on Graphics. 41(4). 1–18. 74 indexed citations
3.
Jakob, Wenzel, Sébastien Speierer, Nicolas Roussel, & Delio Vicini. (2022). DR.JIT. ACM Transactions on Graphics. 41(4). 1–19. 73 indexed citations
4.
Zeltner, Tizian, Sébastien Speierer, Iliyan Georgiev, & Wenzel Jakob. (2021). Monte Carlo estimators for differential light transport. ACM Transactions on Graphics. 40(4). 1–16. 6 indexed citations
5.
Hu, Yinlin, Sébastien Speierer, Wenzel Jakob, Pascal Fua, & Mathieu Salzmann. (2021). Wide-Depth-Range 6D Object Pose Estimation in Space. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 15865–15874. 77 indexed citations
6.
Vicini, Delio, Sébastien Speierer, & Wenzel Jakob. (2021). Path replay backpropagation. ACM Transactions on Graphics. 40(4). 1–14. 3 indexed citations
7.
Zeltner, Tizian, Sébastien Speierer, Iliyan Georgiev, & Wenzel Jakob. (2021). Monte Carlo estimators for differential light transport. ACM Transactions on Graphics. 40(4). 1–16. 50 indexed citations
8.
Vicini, Delio, Sébastien Speierer, & Wenzel Jakob. (2021). Path replay backpropagation. ACM Transactions on Graphics. 40(4). 1–14. 65 indexed citations
9.
Nimier-David, Merlin, et al.. (2020). Radiative backpropagation. ACM Transactions on Graphics. 39(4). 72 indexed citations
10.
Abdellah, Marwan, et al.. (2019). High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 176–180. 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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