Michael Wilczek

2.8k total citations · 1 hit paper
86 papers, 1.6k citations indexed

About

Michael Wilczek is a scholar working on Computational Mechanics, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, Michael Wilczek has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Mechanics, 21 papers in Environmental Engineering and 18 papers in Ocean Engineering. Recurrent topics in Michael Wilczek's work include Fluid Dynamics and Turbulent Flows (40 papers), Wind and Air Flow Studies (20 papers) and Particle Dynamics in Fluid Flows (18 papers). Michael Wilczek is often cited by papers focused on Fluid Dynamics and Turbulent Flows (40 papers), Wind and Air Flow Studies (20 papers) and Particle Dynamics in Fluid Flows (18 papers). Michael Wilczek collaborates with scholars based in Germany, United States and France. Michael Wilczek's co-authors include Jonas Dehning, F. Paul Spitzner, Johannes Zierenberg, Viola Priesemann, João Pinheiro Neto, Michael Wibral, R. Friedrich, Charles Meneveau, Yasuhito Narita and Melissa S. Maginnis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Michael Wilczek

76 papers receiving 1.6k citations

Hit Papers

Inferring change points in the spread of COVID-19 reveals... 2020 2026 2022 2024 2020 100 200 300 400 500
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. Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions
    2020 517 citations Jonas Dehning, Johannes Zierenberg et al. Science profile →

Peers

Michael Wilczek
Benito M. Chen‐Charpentier United States
Jean-François Pinton France
Constantinos Siettos Greece
G.C. Wake New Zealand
Mark A. Miller United States
G. N. Mercer Australia
John Salvatier United Kingdom
Marko Laine Finland
Dave Higdon United States
Benito M. Chen‐Charpentier United States
Michael Wilczek
Citations per year, relative to Michael Wilczek Michael Wilczek (= 1×) peers Benito M. Chen‐Charpentier

Countries citing papers authored by Michael Wilczek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wilczek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wilczek

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wilczek. A scholar is included among the top collaborators of Michael Wilczek 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 Michael Wilczek. Michael Wilczek 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.
2.
Wilczek, Michael, et al.. (2025). Temporal large-scale intermittency and its impact on the statistics of turbulence. Journal of Fluid Mechanics. 1004. 2 indexed citations
3.
Bodenschatz, Eberhard, et al.. (2024). Estimating the turbulent kinetic energy dissipation rate from one-dimensional velocity measurements in time. Atmospheric measurement techniques. 17(2). 627–657. 8 indexed citations
4.
Bagheri, Gholamhossein, et al.. (2024). Analysis of the measurement uncertainty for a 3D wind lidar. Atmospheric measurement techniques. 17(23). 6913–6931.
5.
Wilczek, Michael, et al.. (2024). Twisting vortex lines regularize Navier-Stokes turbulence. Science Advances. 10(37). eado1969–eado1969.
6.
Wilczek, Michael, et al.. (2024). Anti-microbial cetylpyridinium chloride suppresses mast cell function by targeting tyrosine phosphorylation of Syk kinase. Journal of Immunotoxicology. 21(1). 2443397–2443397. 1 indexed citations
7.
Mazza, Marco G., et al.. (2021). Self-generated oxygen gradients control collective aggregation of photosynthetic microbes. Journal of The Royal Society Interface. 18(185). 20210553–20210553. 18 indexed citations
8.
Wilczek, Michael, et al.. (2021). Emergence of behaviour in a self-organized living matter network. eLife. 11. 13 indexed citations
9.
Sinhuber, Michael, et al.. (2021). Multi-level stochastic refinement for complex time series and fields: a data-driven approach. New Journal of Physics. 23(6). 63063–63063. 6 indexed citations
10.
Dehning, Jonas, Johannes Zierenberg, F. Paul Spitzner, et al.. (2020). Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science. 369(6500). 517 indexed citations breakdown →
11.
Wilczek, Michael, et al.. (2019). High-Throughput Characterization of Viral and Cellular Protein Expression Patterns During JC Polyomavirus Infection. Frontiers in Microbiology. 10. 783–783. 14 indexed citations
12.
Ronellenfitsch, Henrik, Jörn Dunkel, & Michael Wilczek. (2018). Optimal Noise-Canceling Networks. Physical Review Letters. 121(20). 208301–208301. 27 indexed citations
13.
Wilczek, Michael & Cristian C. Lalescu. (2017). A novel bridging relation connecting Eulerian and Lagrangian statistics. Bulletin of the American Physical Society.
14.
Sinhuber, Michael, Eberhard Bodenschatz, & Michael Wilczek. (2016). A probability distribution approach to synthetic turbulence time series. Bulletin of the American Physical Society.
15.
Aliota, Matthew T., et al.. (2014). The Prevalence of Zoonotic Tick-Borne Pathogens in Ixodes Scapularis Collected in the Hudson Valley, New York State. Vector-Borne and Zoonotic Diseases. 14(4). 245–250. 69 indexed citations
16.
Stevens, Richard J. A. M., Michael Wilczek, & Charles Meneveau. (2013). Large eddy simulation study of the logarithmic law for high-order moments in turbulent boundary layers. APS Division of Fluid Dynamics Meeting Abstracts. 9 indexed citations
17.
Narita, Yasuhito, K. H. Glaßmeier, U. Motschmann, & Michael Wilczek. (2013). Doppler shift and broadening in solar wind turbulence. Earth Planets and Space. 65(1). e5–e8. 5 indexed citations
18.
Friedrich, R., et al.. (2012). The Lundgren–Monin–Novikov hierarchy: Kinetic equations for turbulence. Comptes Rendus Physique. 13(9-10). 929–953. 22 indexed citations
19.
Wilczek, Michael, et al.. (2011). Statistical analysis of global wind dynamics in vigorous Rayleigh-Bénard convection. Physical Review E. 84(2). 26309–26309. 30 indexed citations
20.
Wilczek, Michael, F. Jenko, & R. Friedrich. (2008). Lagrangian particle statistics in turbulent flows from a simple vortex model. Physical Review E. 77(5). 56301–56301. 12 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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