Bernd R. Noack

9.9k total citations · 3 hit papers
213 papers, 6.6k citations indexed

About

Bernd R. Noack is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Aerospace Engineering. According to data from OpenAlex, Bernd R. Noack has authored 213 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Computational Mechanics, 83 papers in Statistical and Nonlinear Physics and 77 papers in Aerospace Engineering. Recurrent topics in Bernd R. Noack's work include Fluid Dynamics and Turbulent Flows (121 papers), Fluid Dynamics and Vibration Analysis (86 papers) and Model Reduction and Neural Networks (76 papers). Bernd R. Noack is often cited by papers focused on Fluid Dynamics and Turbulent Flows (121 papers), Fluid Dynamics and Vibration Analysis (86 papers) and Model Reduction and Neural Networks (76 papers). Bernd R. Noack collaborates with scholars based in Germany, France and China. Bernd R. Noack's co-authors include Gilead Tadmor, Steven L. Brunton, Helmut Eckelmann, Marek Morzyński, Frank Thiele, Konstantin Afanasiev, Rudibert King, Michael König, Peter A. Monkewitz and Paul Papas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Scientific Reports.

In The Last Decade

Bernd R. Noack

200 papers receiving 6.3k citations

Hit Papers

A hierarchy of low-dimensional models for the transient a... 2003 2026 2010 2018 2003 2015 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernd R. Noack Germany 38 5.3k 2.9k 2.4k 1.2k 628 213 6.6k
Juan J. Alonso United States 47 5.8k 1.1× 1.5k 0.5× 3.7k 1.5× 622 0.5× 446 0.7× 302 9.2k
Clarence W. Rowley United States 42 7.5k 1.4× 5.0k 1.7× 4.1k 1.7× 897 0.8× 1.2k 1.9× 142 11.0k
Gal Berkooz United States 13 4.0k 0.8× 3.0k 1.0× 1.5k 0.6× 791 0.7× 482 0.8× 26 6.0k
Kunihiko Taira United States 29 4.2k 0.8× 1.8k 0.6× 2.4k 1.0× 485 0.4× 229 0.4× 138 5.4k
Antony Jameson United States 53 11.5k 2.2× 1.2k 0.4× 5.0k 2.0× 712 0.6× 469 0.7× 292 13.5k
Karthik Duraisamy United States 25 2.5k 0.5× 1.7k 0.6× 1.2k 0.5× 547 0.5× 127 0.2× 108 3.7k
Shervin Bagheri Sweden 24 2.6k 0.5× 1.6k 0.5× 1.0k 0.4× 288 0.2× 311 0.5× 66 3.5k
Gianluigi Rozza Italy 39 3.8k 0.7× 5.3k 1.8× 1.0k 0.4× 268 0.2× 495 0.8× 220 7.8k
Philipp Schlatter Sweden 49 9.0k 1.7× 1.8k 0.6× 3.2k 1.3× 2.9k 2.4× 311 0.5× 293 10.4k
Dan S. Henningson Sweden 59 12.3k 2.3× 2.2k 0.8× 4.7k 1.9× 2.9k 2.4× 488 0.8× 273 13.8k

Countries citing papers authored by Bernd R. Noack

Since Specialization
Citations

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

Fields of papers citing papers by Bernd R. Noack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernd R. Noack. 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 Bernd R. Noack. The network helps show where Bernd R. Noack may publish in the future.

Co-authorship network of co-authors of Bernd R. Noack

This figure shows the co-authorship network connecting the top 25 collaborators of Bernd R. Noack. A scholar is included among the top collaborators of Bernd R. Noack 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 Bernd R. Noack. Bernd R. Noack 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.
Noack, Bernd R., et al.. (2025). Nonlinear dynamics of the actuated fluidic pinball — Steady, periodic, and chaotic regimes. Chaos Solitons & Fractals. 193. 116075–116075. 1 indexed citations
2.
Noack, Bernd R., et al.. (2025). Aerodynamic characterization of a wind generator with 40 × 40 individually controllable fans. Physics of Fluids. 37(2). 1 indexed citations
3.
Yan, Lei, et al.. (2025). Deep reinforcement cross-domain transfer learning of active flow control for three-dimensional bluff body flow. Journal of Computational Physics. 529. 113893–113893. 4 indexed citations
4.
Hu, Gang, et al.. (2024). SiGAN: A 3D sensor importance deep generative model for urban wind flow field monitoring. Building and Environment. 262. 111787–111787. 4 indexed citations
5.
Wang, Tianyu, et al.. (2024). Jet mixing optimization using a bio-inspired evolution of hardware and control. Scientific Reports. 14(1). 25952–25952. 1 indexed citations
6.
Zhu, Q. Q., Lei Zhou, Hongfu Zhang, et al.. (2024). A zero-net-mass-flux wake stabilization method for blunt bodies via global linear instability. Physics of Fluids. 36(4). 15 indexed citations
7.
8.
Du, Hui, et al.. (2024). Topologically consistent regression modeling exemplified for laminar burning velocity of ammonia-hydrogen flames. Energy and AI. 19. 100456–100456. 2 indexed citations
9.
Chen, Jingguo, et al.. (2024). Machine-learned flow estimation with sparse data—Exemplified for the rooftop of an unmanned aerial vehicle vertiport. Physics of Fluids. 36(12). 2 indexed citations
10.
Hu, Gang, et al.. (2024). Coarse-graining characterization of the room flow circulations due to a fan-array wind generator. Physics of Fluids. 36(8). 2 indexed citations
11.
Tan, Jianguo, et al.. (2023). Simultaneous control of combustion instabilities and NOx emissions in a lean premixed flame using linear genetic programming. Combustion and Flame. 251. 112716–112716. 11 indexed citations
12.
Yan, Lei, et al.. (2023). Stabilizing the square cylinder wake using deep reinforcement learning for different jet locations. Physics of Fluids. 35(11). 22 indexed citations
13.
Dong, Jun, et al.. (2022). Microparticle Transport and Sedimentation in a Rhythmically Expanding Alveolar Chip. Micromachines. 13(3). 485–485. 6 indexed citations
15.
Noack, Bernd R., et al.. (2021). Machine Learning flow control in the few sensors limit. Bulletin of the American Physical Society. 1 indexed citations
16.
Tissot, Gilles, Laurent Cordier, & Bernd R. Noack. (2015). Feedback stabilization of an oscillating vertical cylinder by POD Reduced-Order Model. Journal of Physics Conference Series. 574. 12137–12137. 4 indexed citations
17.
Noack, Bernd R., et al.. (2014). Stabilizations of Strange Attractors by Feedback Linearization. Research Journal of Applied Sciences Engineering and Technology. 8(1). 43–47. 1 indexed citations
18.
Noack, Bernd R. & Robert K. Niven. (2011). Maximum-entropy closure for a Galerkin system of incompressible shear flow. APS Division of Fluid Dynamics Meeting Abstracts. 64. 6 indexed citations
19.
Hotz, Ingrid, et al.. (2009). Localized Finite-time Lyapunov Exponent for Unsteady Flow Analysis.. Vision Modeling and Visualization. 1. 265–274. 31 indexed citations
20.
Noack, Bernd R., Marek Morzyński, Witold Stankiewicz, & Gilead Tadmor. (2006). Generalized mean-field model of oscillatory flow using continuous mode interpolation. Bulletin of the American Physical Society. 59. 2 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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