Vincent Sitzmann

4.7k total citations · 5 hit papers
23 papers, 1.8k citations indexed

About

Vincent Sitzmann is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Vincent Sitzmann has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Graphics and Computer-Aided Design and 6 papers in Computational Mechanics. Recurrent topics in Vincent Sitzmann's work include Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (8 papers) and 3D Shape Modeling and Analysis (6 papers). Vincent Sitzmann is often cited by papers focused on Advanced Vision and Imaging (8 papers), Computer Graphics and Visualization Techniques (8 papers) and 3D Shape Modeling and Analysis (6 papers). Vincent Sitzmann collaborates with scholars based in United States, Canada and Germany. Vincent Sitzmann's co-authors include Gordon Wetzstein, Xiong Dun, Wolfgang Heidrich, Julie Chang, Ana Serrano, Maneesh Agrawala, Diego Gutiérrez, Amy Pavel, Belén Masiá and Felix Heide and has published in prestigious journals such as Nature, Scientific Reports and ACM Transactions on Graphics.

In The Last Decade

Vincent Sitzmann

18 papers receiving 1.7k citations

Hit Papers

Hybrid optical-electronic convolutional neural networks w... 2018 2026 2020 2023 2018 2018 2022 2022 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Sitzmann United States 12 965 344 303 299 279 23 1.8k
Felix Heide United States 36 2.0k 2.0× 231 0.7× 443 1.5× 291 1.0× 169 0.6× 111 3.9k
Xun Cao China 31 2.2k 2.2× 256 0.7× 387 1.3× 608 2.0× 153 0.5× 164 3.6k
Aswin C. Sankaranarayanan United States 26 1.2k 1.2× 213 0.6× 284 0.9× 647 2.2× 151 0.5× 101 2.2k
A. Blake United Kingdom 12 1.1k 1.1× 217 0.6× 65 0.2× 126 0.4× 108 0.4× 32 1.6k
Sean Fanello United States 20 1.1k 1.1× 75 0.2× 64 0.2× 399 1.3× 365 1.3× 45 1.4k
Ko Nishino Japan 31 2.7k 2.8× 639 1.9× 55 0.2× 283 0.9× 592 2.1× 112 3.4k
John McDonald Ireland 23 1.6k 1.6× 87 0.3× 211 0.7× 108 0.4× 72 0.3× 88 2.5k
Augusto Sarti Italy 29 1.3k 1.4× 421 1.2× 847 2.8× 809 2.7× 96 0.3× 320 3.8k
Yasuhiro Mukaigawa Japan 18 833 0.9× 121 0.4× 149 0.5× 69 0.2× 191 0.7× 127 1.3k
Jean‐Charles Bazin South Korea 21 1.1k 1.1× 111 0.3× 99 0.3× 226 0.8× 91 0.3× 69 1.5k

Countries citing papers authored by Vincent Sitzmann

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Sitzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Sitzmann

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

All Works

20 of 20 papers shown
1.
O’Connell, Thomas, et al.. (2025). Approximating Human-Level 3D Visual Inferences With Deep Neural Networks. Open Mind. 9. 305–324.
2.
Zhang, Annan, et al.. (2025). Controlling diverse robots by inferring Jacobian fields with deep networks. Nature. 643(8070). 89–95. 1 indexed citations
4.
Chen, Boyuan, et al.. (2024). Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion. 24081–24125. 4 indexed citations
5.
Sitzmann, Vincent, et al.. (2024). Intrinsic Image Diffusion for Indoor Single-view Material Estimation. 5198–5208. 11 indexed citations
6.
Tagliasacchi, Andrea, et al.. (2024). PixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction. 19457–19467. 57 indexed citations breakdown →
7.
Du, Yilun, et al.. (2023). Learning to Render Novel Views from Wide-Baseline Stereo Pairs. 4970–4980. 17 indexed citations
8.
Guizilini, Vitor, et al.. (2023). DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. 17889–17899.
9.
Sitzmann, Vincent, et al.. (2023). Variational Barycentric Coordinates. ACM Transactions on Graphics. 42(6). 1–16. 10 indexed citations
10.
Takikawa, Towaki, Shunsuke Saito, James Tompkin, et al.. (2023). Neural Fields for Visual Computing: SIGGRAPH 2023 Course. 1–227.
11.
Tewari, Ayush, Justus Thies, Ben Mildenhall, et al.. (2022). Advances in Neural Rendering. Computer Graphics Forum. 41(2). 703–735. 203 indexed citations breakdown →
12.
Kobayashi, Sosuke, Eiichi Matsumoto, & Vincent Sitzmann. (2022). Decomposing NeRF for Editing Via Feature Field Distillation. 23311–23330.
13.
Xie, Yiheng, Towaki Takikawa, Shunsuke Saito, et al.. (2022). Neural Fields in Visual Computing and Beyond. Computer Graphics Forum. 41(2). 641–676. 275 indexed citations breakdown →
14.
Simeonov, Anthony, Yilun Du, Andrea Tagliasacchi, et al.. (2022). Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. 2022 International Conference on Robotics and Automation (ICRA). 6394–6400. 95 indexed citations
15.
Ambruş, Rareş, Dennis Park, Wadim Kehl, et al.. (2021). Single-Shot Scene Reconstruction. 5 indexed citations
16.
Du, Yilun, Katherine M. Collins, Josh Tenenbaum, & Vincent Sitzmann. (2021). Learning Signal-Agnostic Implicit Manifolds. Neural Information Processing Systems. 34. 1 indexed citations
17.
Sitzmann, Vincent, Eric R. Chan, Richard Tucker, Noah Snavely, & Gordon Wetzstein. (2020). MetaSDF: Meta-Learning Signed Distance Functions. arXiv (Cornell University). 33. 10136–10147. 9 indexed citations
18.
Chang, Julie, Vincent Sitzmann, Xiong Dun, Wolfgang Heidrich, & Gordon Wetzstein. (2018). Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification. Scientific Reports. 8(1). 12324–12324. 343 indexed citations breakdown →
19.
Sitzmann, Vincent, Steven Diamond, Yifan Peng, et al.. (2018). End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Transactions on Graphics. 37(4). 1–13. 300 indexed citations
20.
Sitzmann, Vincent, Ana Serrano, Amy Pavel, et al.. (2016). Saliency in VR: How do people explore virtual environments?. Zaguan (Universidad de Zaragoza). 15 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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