Michael Wilczek
- Computational Mechanics top 2%
- Modeling and Simulation top 0.5%
- Environmental Engineering top 5%
- Infectious Diseases top 10%
- Global and Planetary Change top 10%
- Co-authors
- Jonas DehningF. Paul SpitznerJohannes ZierenbergViola PriesemannJoão Pinheiro NetoMichael WibralR. FriedrichCharles Meneveau
- Topics
- Fluid Dynamics and Turbulent Flows (40 papers)Wind and Air Flow Studies (20 papers)Particle Dynamics in Fluid Flows (18 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Michael Wilczek
76 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Computational Mechanics 502
- Modeling and Simulation 417
- Environmental Engineering 210
- Infectious Diseases 200
- Global and Planetary Change 195
Countries citing papers authored by Michael Wilczek
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | Inferring change points in the spread of COVID-19 reveals the effectiveness of interventionsbreakdown → | 517 |
| 11 | 14 | |
| 12 | 27 | |
| 13 | A novel bridging relation connecting Eulerian and Lagrangian statistics | 0 |
| 14 | A probability distribution approach to synthetic turbulence time series | 0 |
| 15 | 69 | |
| 16 | Large eddy simulation study of the logarithmic law for high-order moments in turbulent boundary layers | 9 |
| 17 | 5 | |
| 18 | 22 | |
| 19 | 30 | |
| 20 | 12 |
About Michael Wilczek
Michael Wilczek is a scholar working on Computational Mechanics, Environmental Engineering and Ocean Engineering, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (40 papers), Wind and Air Flow Studies (20 papers) and Particle Dynamics in Fluid Flows (18 papers). The work is most often cited by research in Modeling and Simulation (417 citations), Computational Mechanics (502 citations) and Environmental Engineering (210 citations). Michael Wilczek has collaborated with scholars based in Germany, United States and France. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.