Matthias Kunik
- Applied Mathematics top 5%
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 10%
- Mathematical Physics top 10%
- Materials Chemistry
- Co-authors
- Gerald WarneckeWolfgang DreyerShamsul QamarMichael JunkRaimund BürgerMahmoud A. E. AbdelrahmanAlexander RussellW. Dreyer
- Topics
- Gas Dynamics and Kinetic Theory (18 papers)Computational Fluid Dynamics and Aerodynamics (16 papers)Navier-Stokes equation solutions (9 papers)
- Journals
- Journal of Computational PhysicsJournal of Mathematical Analysis and ApplicationsSIAM Journal on Scientific Computing
- Partner nations
- GermanyEgyptUnited States
In The Last Decade
Matthias Kunik
34 papers receiving 312 citations
Peers
Comparison fields: 5 of 42
- Applied Mathematics 203
- Computational Mechanics 192
- Statistical and Nonlinear Physics 91
- Mathematical Physics 60
- Materials Chemistry 30
Countries citing papers authored by Matthias Kunik
This map shows the geographic impact of Matthias Kunik'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 Matthias Kunik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Kunik more than expected).
Fields of papers citing papers by Matthias Kunik
This network shows the impact of papers produced by Matthias Kunik. 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 Matthias Kunik. The network helps show where Matthias Kunik may publish in the future.
Co-authorship network of co-authors of Matthias Kunik
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Kunik. A scholar is included among the top collaborators of Matthias Kunik 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 Matthias Kunik. Matthias Kunik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | Höhere Analysis durch Anwendungen lernen: Für Studierende der Mathematik, Physik und Ingenieurwissenschaften | 1 |
| 5 | 39 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 5 |
About Matthias Kunik
Matthias Kunik is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics, having authored 37 papers that have together received 336 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (18 papers), Computational Fluid Dynamics and Aerodynamics (16 papers) and Navier-Stokes equation solutions (9 papers). The work is most often cited by research in Applied Mathematics (203 citations), Computational Mechanics (192 citations) and Statistical and Nonlinear Physics (91 citations). Matthias Kunik has collaborated with scholars based in Germany, Egypt and United States. Frequent co-authors include Gerald Warnecke, Wolfgang Dreyer, Shamsul Qamar, Michael Junk, Raimund Bürger, Mahmoud A. E. Abdelrahman, Alexander Russell, W. Dreyer, Michael Herrmann and Peter R. Müeller. Their work appears in journals such as Journal of Computational Physics, Journal of Mathematical Analysis and Applications and SIAM Journal on Scientific Computing.
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.