Johan Larsson

5.2k total citations · 4 hit papers
91 papers, 3.9k citations indexed

About

Johan Larsson is a scholar working on Computational Mechanics, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Johan Larsson has authored 91 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computational Mechanics, 34 papers in Aerospace Engineering and 18 papers in Environmental Engineering. Recurrent topics in Johan Larsson's work include Fluid Dynamics and Turbulent Flows (77 papers), Computational Fluid Dynamics and Aerodynamics (59 papers) and Aerodynamics and Acoustics in Jet Flows (26 papers). Johan Larsson is often cited by papers focused on Fluid Dynamics and Turbulent Flows (77 papers), Computational Fluid Dynamics and Aerodynamics (59 papers) and Aerodynamics and Acoustics in Jet Flows (26 papers). Johan Larsson collaborates with scholars based in United States, Italy and Germany. Johan Larsson's co-authors include Soshi Kawai, Sanjiva K. Lele, Iván Bermejo-Moreno, Julien Bodart, Michael Emory, Sergio Pirozzoli, Parviz Moin, Matteo Bernardini, Pedro Stefanin Volpiani and Gianluca Iaccarino and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and AIAA Journal.

In The Last Decade

Johan Larsson

88 papers receiving 3.8k citations

Hit Papers

Wall-modeling in large eddy simulation: Length scales, gr... 2009 2026 2014 2020 2012 2015 2009 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Larsson United States 30 3.4k 1.4k 774 486 276 91 3.9k
Matthias Ihme United States 45 5.5k 1.6× 1.6k 1.1× 572 0.7× 372 0.8× 220 0.8× 283 6.8k
Lian Duan United States 25 2.3k 0.7× 1.0k 0.7× 518 0.7× 387 0.8× 363 1.3× 142 2.9k
James F. Driscoll United States 47 6.6k 1.9× 2.5k 1.8× 417 0.5× 522 1.1× 117 0.4× 198 7.0k
Jack R. Edwards United States 40 4.9k 1.4× 3.0k 2.1× 433 0.6× 1.1k 2.2× 138 0.5× 250 5.7k
Stefan Hickel Germany 32 2.4k 0.7× 952 0.7× 249 0.3× 206 0.4× 179 0.6× 127 2.9k
Helen L. Reed United States 31 3.8k 1.1× 2.1k 1.5× 403 0.5× 864 1.8× 229 0.8× 196 4.2k
William J. Rider United States 26 3.6k 1.0× 548 0.4× 209 0.3× 354 0.7× 220 0.8× 73 4.2k
Charles Merkle United States 35 4.1k 1.2× 2.0k 1.4× 181 0.2× 577 1.2× 477 1.7× 250 5.1k
K.N.C. Bray United Kingdom 35 3.7k 1.1× 960 0.7× 426 0.6× 366 0.8× 98 0.4× 94 4.2k
Mujeeb R. Malik United States 36 4.7k 1.4× 2.0k 1.4× 601 0.8× 974 2.0× 389 1.4× 147 5.0k

Countries citing papers authored by Johan Larsson

Since Specialization
Citations

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

Fields of papers citing papers by Johan Larsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Larsson

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Larsson. A scholar is included among the top collaborators of Johan Larsson 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 Johan Larsson. Johan Larsson 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.
Costa, Pedro, et al.. (2025). Intrinsic compressibility effects in near-wall turbulence. Journal of Fluid Mechanics. 1006. 6 indexed citations
3.
Larsson, Johan, et al.. (2023). On low-frequency unsteadiness in swept shock wave–boundary layer interactions. Journal of Fluid Mechanics. 956. 19 indexed citations
4.
Larsson, Johan, et al.. (2023). Residual estimation for grid modification in wall-modeled large eddy simulation using unstructured high-order methods. Computers & Fluids. 254. 105796–105796. 1 indexed citations
5.
Larsson, Johan, Robert A. Baurle, Daniel J. Garmann, et al.. (2023). High-fidelity CFD verification workshop 2024: wall-modeled large eddy simulation of smooth-body separation. AIAA SCITECH 2023 Forum. 2 indexed citations
6.
Larsson, Johan, et al.. (2022). Adaptive Determination of the Optimal Exchange Location in Wall-Modeled Large-Eddy Simulation. AIAA Journal. 60(7). 4162–4173. 5 indexed citations
7.
Bermejo-Moreno, Iván, et al.. (2020). Parametric numerical study of passive scalar mixing in shock turbulence interaction. Journal of Fluid Mechanics. 895. 12 indexed citations
8.
Volpiani, Pedro Stefanin, Prahladh S. Iyer, Sergio Pirozzoli, & Johan Larsson. (2020). Data-driven compressibility transformation for turbulent wall layers. Physical Review Fluids. 5(5). 70 indexed citations
9.
Larsson, Johan, et al.. (2020). Assessment of Grid Anisotropy Effects on Large-Eddy-Simulation Models with Different Length Scales. AIAA Journal. 58(10). 4522–4533. 13 indexed citations
10.
Larsson, Johan, et al.. (2014). Effect of cooling on compressible wall-turbulence. Bulletin of the American Physical Society. 1 indexed citations
11.
Laurence, Stuart J., et al.. (2014). Incipient thermal choking and stable shock-train formation in the heat-release region of a scramjet combustor. Part I: Shock-tunnel experiments. Combustion and Flame. 162(4). 921–931. 87 indexed citations
13.
Bermejo-Moreno, Iván, et al.. (2014). Confinement effects in shock wave/turbulent boundary layer interactions through wall-modelled large-eddy simulations. Journal of Fluid Mechanics. 758. 5–62. 101 indexed citations
14.
Emory, Michael, Johan Larsson, & Gianluca Iaccarino. (2013). Modeling of structural uncertainties in Reynolds-averaged Navier-Stokes closures. Physics of Fluids. 25(11). 115 indexed citations
15.
Larsson, Johan, Iván Bermejo-Moreno, & Sanjiva K. Lele. (2013). Reynolds- and Mach-number effects in canonical shock–turbulence interaction. Journal of Fluid Mechanics. 717. 293–321. 111 indexed citations
16.
Bodart, Julien & Johan Larsson. (2012). Computing transitional flows using wall-modeled large eddy simulation. Bulletin of the American Physical Society. 1 indexed citations
17.
Larsson, Johan, Michael Emory, Paul G. Constantine, et al.. (2012). Quantification of multiple types of uncertainties in the HyShot II scramjet. Bulletin of the American Physical Society. 1 indexed citations
18.
Kawai, Soshi & Johan Larsson. (2012). Wall-modeling in large eddy simulation: Length scales, grid resolution, and accuracy. Physics of Fluids. 24(1). 421 indexed citations breakdown →
19.
Pirozzoli, Sergio, et al.. (2010). Analysis of unsteady effects in shock/boundary layer interactions. IRIS Research product catalog (Sapienza University of Rome). 13 indexed citations
20.
Larsson, Johan, Sanjiva K. Lele, & Parviz Moin. (2008). Direct numerical simulation of canonical shock/turbulence interaction. Bulletin of the American Physical Society. 61. 1 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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