Nils Thuerey

3.0k total citations · 1 hit paper
67 papers, 1.8k citations indexed

About

Nils Thuerey is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nils Thuerey has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Mechanics, 34 papers in Computer Graphics and Computer-Aided Design and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nils Thuerey's work include Computer Graphics and Visualization Techniques (34 papers), Model Reduction and Neural Networks (16 papers) and 3D Shape Modeling and Analysis (14 papers). Nils Thuerey is often cited by papers focused on Computer Graphics and Visualization Techniques (34 papers), Model Reduction and Neural Networks (16 papers) and 3D Shape Modeling and Analysis (14 papers). Nils Thuerey collaborates with scholars based in Germany, United States and Switzerland. Nils Thuerey's co-authors include Xiangyu Hu, Lukas Prantl, Konstantin Weißenow, Markus Groß, Tobias Pfaff, Mengyu Chu, You Xie, Erik Franz, Chris Wojtan and Liwei Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Nils Thuerey

61 papers receiving 1.7k citations

Hit Papers

Deep Learning Methods for Reynolds-Averaged Navier–Stokes... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Learning Methods for Reynolds-Averaged Navier–Stokes Simulations of Airfoil Flows
    2019 351 citations Nils Thuerey, Konstantin Weißenow et al. AIAA Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nils Thuerey Germany 23 1.1k 744 567 441 243 67 1.8k
Chenfanfu Jiang United States 33 2.4k 2.3× 1.1k 1.5× 451 0.8× 108 0.2× 107 0.4× 117 3.6k
Theodore Kim United States 20 749 0.7× 698 0.9× 357 0.6× 191 0.4× 43 0.2× 57 1.2k
Andrew Selle United States 25 2.0k 1.9× 1.6k 2.2× 811 1.4× 74 0.2× 53 0.2× 37 3.0k
Kai Hormann Switzerland 27 2.0k 1.9× 1.3k 1.8× 659 1.2× 61 0.1× 129 0.5× 102 3.0k
Patrick Knupp United States 29 1.7k 1.6× 1.4k 1.8× 264 0.5× 44 0.1× 225 0.9× 69 2.5k
Frank Losasso United States 19 2.1k 2.0× 2.0k 2.7× 768 1.4× 43 0.1× 81 0.3× 19 2.9k
Hans Hagen Germany 24 819 0.8× 717 1.0× 597 1.1× 32 0.1× 50 0.2× 133 1.7k
Václav Skala Czechia 17 461 0.4× 449 0.6× 413 0.7× 45 0.1× 56 0.2× 145 1.0k
Kazuhiro Nakahashi Japan 31 2.9k 2.7× 469 0.6× 106 0.2× 113 0.3× 1.7k 6.9× 221 3.6k
J. C. Carr New Zealand 7 1.0k 1.0× 711 1.0× 672 1.2× 29 0.1× 136 0.6× 7 1.8k

Countries citing papers authored by Nils Thuerey

Since Specialization
Citations

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

Fields of papers citing papers by Nils Thuerey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Thuerey

This figure shows the co-authorship network connecting the top 25 collaborators of Nils Thuerey. A scholar is included among the top collaborators of Nils Thuerey 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 Nils Thuerey. Nils Thuerey 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.
Bender, Jan, et al.. (2025). Adaptive Phase-Field-FLIP for Very Large Scale Two-Phase Fluid Simulation. ACM Transactions on Graphics. 44(4). 1–23.
2.
Wei, Hao, et al.. (2025). PICT–A differentiable, GPU-accelerated multi-block PISO solver for simulation-coupled learning tasks in fluid dynamics. Journal of Computational Physics. 544. 114433–114433.
3.
Liu, Qiang & Nils Thuerey. (2024). Uncertainty-Aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models. AIAA Journal. 1–22. 29 indexed citations
4.
Chen, Liwei, et al.. (2024). Differentiability in unrolled training of neural physics simulators on transient dynamics. Computer Methods in Applied Mechanics and Engineering. 433. 117441–117441. 8 indexed citations
5.
Thuerey, Nils, et al.. (2024). Unsteady cylinder wakes from arbitrary bodies with differentiable physics-assisted neural network. Physical review. E. 109(5). 55304–55304. 4 indexed citations
6.
Thuerey, Nils, et al.. (2024). \Phi_\textrm{ML}: Intuitive Scientific Computing withDimension Types for Jax, PyTorch, TensorFlow & NumPy. The Journal of Open Source Software. 9(95). 6171–6171.
7.
Doan, Nguyen Anh Khoa, et al.. (2023). Incomplete to complete multiphysics forecasting: a hybrid approach for learning unknown phenomena. SHILAP Revista de lepidopterología. 4.
8.
Chen, Liwei & Nils Thuerey. (2022). Towards high-accuracy deep learning inference of compressible flows over aerofoils. Computers & Fluids. 250. 105707–105707. 38 indexed citations
9.
Hu, Xiangyu, et al.. (2021). Spot the Difference. ACM Transactions on Applied Perception. 18(2). 1–15. 1 indexed citations
10.
Fei, Yun, et al.. (2020). Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Kokkinos, Iasonas, et al.. (2019). CreativeAI: Deep learning for graphics SIGGRAPH 2019. UCL Discovery (University College London). 1 indexed citations
12.
Chu, Mengyu, et al.. (2019). Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution. IEEE Transactions on Visualization and Computer Graphics. 27(6). 3064–3078. 40 indexed citations
13.
Prantl, Lukas, et al.. (2018). Generating Liquid Simulations with Deformation-aware Neural Networks. International Conference on Learning Representations. 2 indexed citations
14.
Thuerey, Nils, et al.. (2018). Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations.. arXiv (Cornell University). 5 indexed citations
15.
Ren, Bo, et al.. (2018). Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art Report. Journal of Computer Science and Technology. 33(3). 431–451. 9 indexed citations
16.
Sato, Toru, Chris Wojtan, Nils Thuerey, Takeo Igarashi, & Ryoichi Ando. (2018). Extended Narrow Band FLIP for Liquid Simulations. Computer Graphics Forum. 37(2). 169–177. 19 indexed citations
17.
Prantl, Lukas, et al.. (2017). Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow. arXiv (Cornell University). 7 indexed citations
18.
Thuerey, Nils. (2017). Interpolations of smoke and liquid simulations. ACM Transactions on Graphics. 36(4). 1–1. 3 indexed citations
19.
Ferstl, Florian, Ryoichi Ando, Chris Wojtan, Rüdiger Westermann, & Nils Thuerey. (2016). Narrow Band FLIP for Liquid Simulations. Computer Graphics Forum. 35(2). 225–232. 58 indexed citations
20.
Raveendran, Karthik, Nils Thuerey, Chris Wojtan, & Greg Turk. (2012). Controlling liquids using meshes. 255–264. 19 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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