Nils Thuerey

3.0k citations
67 papers · 1.8k indexed · 1 hit paper · h-index 23

Nils Thuerey

61 papers receiving 1.7k citations

Hit Papers

Deep Learning Methods for Reynolds-Averaged Navier–Stokes...3512019202620212023100200300

Peers

Nils Thuerey
Comparison fields: 5 of 83
  • Computer Graphics and Computer-Aided Design 744
  • Computational Mechanics 1.1k
  • Statistical and Nonlinear Physics 441
  • Computer Vision and Pattern Recognition 567
  • Aerospace Engineering 243
Replace Kai Hormann with:
Kai Hormann Switzerland
Theodore Kim United States
Chenfanfu Jiang United States
Patrick Knupp United States
J. C. Carr New Zealand
Andrew Selle United States
Václav Skala Czechia
Kazuhiro Nakahashi Japan
Christian B Allen United Kingdom
Hans Hagen Germany
Nils Thuerey relative to Kai Hormann Switzerland Kai Hormann's profile →
Citations per field
00.5×7.2×
Kai Hormann · 1×
Citations per year

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

The 25 scholars most cited alongside Nils Thuerey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nils Thuerey Line = papers co-authored together Nils Thuerey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202429
4 20248
5 20244
6 20240
7 20230
8 202238
9 20211
10
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
20201
11
CreativeAI: Deep learning for graphics SIGGRAPH 2019
20191
12 201940
13
Generating Liquid Simulations with Deformation-aware Neural Networks
20182
14
Well, how accurate is it? A Study of Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations.
20185
15 20189
16 201819
17
Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow
20177
18 20173
19 201658
20 201219

About Nils Thuerey

Nils Thuerey is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Statistical and Nonlinear Physics, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (34 papers), Model Reduction and Neural Networks (16 papers), 3D Shape Modeling and Analysis (14 papers), Advanced Vision and Imaging (12 papers), Fluid Dynamics and Heat Transfer (10 papers), Fluid Dynamics and Turbulent Flows (8 papers), Computational Geometry and Mesh Generation (6 papers) and Lattice Boltzmann Simulation Studies (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (744 citations), Computational Mechanics (1.1k citations) and Statistical and Nonlinear Physics (441 citations). Nils Thuerey has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Xiangyu Hu, Lukas Prantl, Konstantin Weißenow, Markus Groß, Tobias Pfaff, Mengyu Chu, You Xie, Erik Franz, Chris Wojtan and Liwei Chen. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, AIAA Journal and Journal of Fluid Mechanics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026