M. F. Peeters
- Computational Mechanics top 5%
- Global and Planetary Change
- Aerospace Engineering
- Mechanical Engineering
- Infectious Diseases
- Co-authors
- Dale R. CarlsonSheila E. WidnallWagdi G. HabashiMohamed HafezDeenan PillayHervé FleuryDonald SutherlandLynn Morris
- Topics
- Computational Fluid Dynamics and Aerodynamics (10 papers)Fluid Dynamics and Turbulent Flows (6 papers)Advanced Numerical Methods in Computational Mathematics (5 papers)
- Journals
- Journal of Fluid MechanicsAIAA JournalInternational Journal for Numerical Methods in Fluids
- Partner nations
- CanadaUnited StatesBurkina Faso
In The Last Decade
M. F. Peeters
17 papers receiving 319 citations
Peers
Comparison fields: 5 of 54
- Computational Mechanics 256
- Global and Planetary Change 59
- Aerospace Engineering 56
- Mechanical Engineering 46
- Infectious Diseases 40
Countries citing papers authored by M. F. Peeters
This map shows the geographic impact of M. F. Peeters'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 M. F. Peeters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. F. Peeters more than expected).
Fields of papers citing papers by M. F. Peeters
This network shows the impact of papers produced by M. F. Peeters. 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 M. F. Peeters. The network helps show where M. F. Peeters may publish in the future.
Co-authorship network of co-authors of M. F. Peeters
This figure shows the co-authorship network connecting the top 25 collaborators of M. F. Peeters. A scholar is included among the top collaborators of M. F. Peeters 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 M. F. Peeters. M. F. Peeters is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | Finite element solutions of the Navier-Stokes equations for compressible internal flows | 1 |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 23 | |
| 15 | Finite element solutions of the Navier-Stokes equations | 2 |
| 16 | Computational methods for aerodynamic design using numerical optimization | 1 |
| 17 | 186 |
About M. F. Peeters
M. F. Peeters is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Virology, having authored 17 papers that have together received 335 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (10 papers), Fluid Dynamics and Turbulent Flows (6 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). The work is most often cited by research in Computational Mechanics (256 citations), Virology (37 citations) and Fluid Flow and Transfer Processes (24 citations). M. F. Peeters has collaborated with scholars based in Canada, United States and Burkina Faso. Frequent co-authors include Dale R. Carlson, Sheila E. Widnall, Wagdi G. Habashi, Mohamed Hafez, Deenan Pillay, Hervé Fleury, Donald Sutherland, Lynn Morris, Amílcar Tanuri and John N. Nkengasong. Their work appears in journals such as Journal of Fluid Mechanics, AIAA Journal and International Journal for Numerical Methods in Fluids.
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.