Bernard J. Geurts

7.0k total citations
200 papers, 5.0k citations indexed

About

Bernard J. Geurts is a scholar working on Computational Mechanics, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Bernard J. Geurts has authored 200 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Computational Mechanics, 37 papers in Environmental Engineering and 31 papers in Atmospheric Science. Recurrent topics in Bernard J. Geurts's work include Fluid Dynamics and Turbulent Flows (114 papers), Computational Fluid Dynamics and Aerodynamics (40 papers) and Wind and Air Flow Studies (37 papers). Bernard J. Geurts is often cited by papers focused on Fluid Dynamics and Turbulent Flows (114 papers), Computational Fluid Dynamics and Aerodynamics (40 papers) and Wind and Air Flow Studies (37 papers). Bernard J. Geurts collaborates with scholars based in Netherlands, Switzerland and Italy. Bernard J. Geurts's co-authors include J. G. M. Kuerten, Bert Vreman, Jochen Fröhlich, Darryl D. Holm, Rudie Kunnen, H. J. H. Clercx, Johan Meyers, Davoud Jafari, Wessel W. Wits and Arkadiusz K. Kuczaj and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Bernard J. Geurts

195 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard J. Geurts Netherlands 37 4.1k 1.4k 848 711 611 200 5.0k
Paolo Orlandi Italy 39 5.8k 1.4× 1.3k 1.0× 1.1k 1.3× 538 0.8× 897 1.5× 148 6.7k
Jean‐Marc Chomaz France 44 4.6k 1.1× 813 0.6× 1.4k 1.6× 969 1.4× 428 0.7× 128 6.0k
Massimo Germano Italy 14 6.0k 1.5× 2.6k 1.9× 1.9k 2.2× 902 1.3× 745 1.2× 38 7.1k
J. C. F. Pereira Portugal 33 3.8k 0.9× 894 0.7× 1.2k 1.4× 233 0.3× 466 0.8× 182 5.3k
Krishnan Mahesh United States 37 5.2k 1.3× 903 0.7× 2.3k 2.7× 379 0.5× 946 1.5× 140 6.1k
Jinhee Jeong South Korea 6 4.3k 1.1× 1.1k 0.8× 2.1k 2.4× 308 0.4× 435 0.7× 15 5.2k
J. C. Vassilicos United Kingdom 43 4.3k 1.1× 1.8k 1.3× 792 0.9× 743 1.0× 1.3k 2.2× 167 5.4k
Gavin Tabor United Kingdom 26 3.9k 0.9× 1.1k 0.8× 1.6k 1.9× 295 0.4× 718 1.2× 88 6.4k
Nagi N. Mansour United States 23 4.2k 1.0× 1.5k 1.1× 983 1.2× 345 0.5× 464 0.8× 72 4.5k
J. G. M. Kuerten Netherlands 33 3.4k 0.8× 890 0.7× 723 0.9× 358 0.5× 1.2k 1.9× 156 4.4k

Countries citing papers authored by Bernard J. Geurts

Since Specialization
Citations

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

Fields of papers citing papers by Bernard J. Geurts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard J. Geurts. 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 Bernard J. Geurts. The network helps show where Bernard J. Geurts may publish in the future.

Co-authorship network of co-authors of Bernard J. Geurts

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard J. Geurts. A scholar is included among the top collaborators of Bernard J. Geurts 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 Bernard J. Geurts. Bernard J. Geurts 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.
Geerts, Sam, et al.. (2025). Sand Dunes as a Nature‐Based Solution to Mitigate Salt Intrusion in Stratified Estuaries. Journal of Geophysical Research Oceans. 130(1). 2 indexed citations
2.
Geurts, Bernard J., et al.. (2024). Casimir preserving stochastic Lie–Poisson integrators. Advances in Continuous and Discrete Models. 2024(1). 2 indexed citations
3.
Geurts, Bernard J., et al.. (2024). Zeitlin Truncation of a Shallow Water Quasi‐Geostrophic Model for Planetary Flow. Journal of Advances in Modeling Earth Systems. 16(6). 5 indexed citations
4.
Geurts, Bernard J., et al.. (2023). Data‐Driven Stochastic Lie Transport Modeling of the 2D Euler Equations. Journal of Advances in Modeling Earth Systems. 15(1). 7 indexed citations
5.
Bogusławski, Andrzej, et al.. (2023). Global instability phenomenon as a physical mechanism controlling dynamics of a nitrogen-diluted hydrogen flame. International Journal of Heat and Mass Transfer. 213. 124260–124260. 6 indexed citations
6.
Wilde, Bram de, et al.. (2022). Hopping-Transport Mechanism for Reconfigurable Logic in Disordered Dopant Networks. Physical Review Applied. 17(6). 2 indexed citations
7.
Geurts, Bernard J., Amirreza Rouhi, & Ugo Piomelli. (2019). Recent progress on reliability assessment of large-eddy simulation. Journal of Fluids and Structures. 91. 102615–102615. 6 indexed citations
8.
Geurts, Bernard J., et al.. (2017). Stochastic Transport v Fluctuation-Dissipation Noise in Lorenz 63. arXiv (Cornell University). 1 indexed citations
9.
Tyliszczak, Artur & Bernard J. Geurts. (2015). Controlled mixing enhancement in turbulent rectangular jets responding to periodically forced inflow conditions. Journal of Turbulence. 16(8). 742–771. 16 indexed citations
10.
Kuerten, J. G. M., et al.. (2011). Direct and Large-Eddy Simulation VIII (ERCOFTAC Series). Springer eBooks. 6 indexed citations
11.
Kuerten, J. G. M., Bernard J. Geurts, Vincenzo Armenio, & Jochen Fröhlich. (2011). Direct and large-eddy simulation VIII. 15. 2 indexed citations
12.
Piomelli, Ugo & Bernard J. Geurts. (2009). A grid-independent length scale for large-eddy simulations. TU/e Research Portal (Eindhoven University of Technology). 62. 1 indexed citations
13.
Lamballais, Éric, et al.. (2006). Direct and large-eddy simulation VII : proceedings of the seventh international ERCOFTAC Workshop on Direct and Large-Eddy Simulation, held at the University of Trieste, September 8-10, 2008. Springer eBooks. 2 indexed citations
14.
Kuczaj, Arkadiusz K., Bernard J. Geurts, & Detlef Lohse. (2006). Response maxima in time-modulated turbulence: Direct numerical simulations. Europhysics Letters (EPL). 73(6). 851–857. 34 indexed citations
15.
Geurts, Bernard J.. (2001). Modern simulation strategies for turbulent flow. 47 indexed citations
16.
Boersma, Bendiks Jan, et al.. (1997). Local grid refinement in large-eddy simulations. Large-scale numerical modelling of problems involving the Navier-Stokes equations. Journal of Engineering Mathematics. 1 indexed citations
17.
Geurts, Bernard J., et al.. (1997). Spatial stability of the compressible attachment-line boundary layer and generalized similarity properties. University of Twente Research Information. 1 indexed citations
18.
Broeze, J., et al.. (1996). Multigrid acceleration of time-accurate DNS of compressible turbulent flow. TU/e Research Portal (Eindhoven University of Technology). 109–121. 2 indexed citations
19.
Vreman, Bert, Bernard J. Geurts, & J. G. M. Kuerten. (1994). Comparison of subgrid-models in large eddy simulation of the temporal mixing layer. University of Twente Research Information. 6 indexed citations
20.
Vreman, Bert, Bernard J. Geurts, & J. G. M. Kuerten. (1994). On the formulation of the dynamic mixed subgrid-scale model. Physics of Fluids. 6(12). 4057–4059. 233 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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