Hans‐Peter Kau
- Aerospace Engineering top 5%
- Computational Mechanics top 5%
- Mechanical Engineering
- Applied Mathematics top 10%
- Fluid Flow and Transfer Processes top 10%
- Co-authors
- Róbert WágnerPhilip MartinChristoph KirchbergerAleksandar JemcovHeinz-Peter SchifferPhilip J. MartinMarc BouchezVolker Gümmer
- Topics
- Computational Fluid Dynamics and Aerodynamics (16 papers)Rocket and propulsion systems research (16 papers)Turbomachinery Performance and Optimization (13 papers)
- Journals
- Journal of TurbomachineryCEAS Space JournalTUbilio (Technical University of Darmstadt)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Hans‐Peter Kau
37 papers receiving 378 citations
Peers
Comparison fields: 5 of 22
- Aerospace Engineering 338
- Computational Mechanics 309
- Mechanical Engineering 143
- Applied Mathematics 39
- Fluid Flow and Transfer Processes 32
Countries citing papers authored by Hans‐Peter Kau
This map shows the geographic impact of Hans‐Peter Kau'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 Hans‐Peter Kau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Peter Kau more than expected).
Fields of papers citing papers by Hans‐Peter Kau
This network shows the impact of papers produced by Hans‐Peter Kau. 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 Hans‐Peter Kau. The network helps show where Hans‐Peter Kau may publish in the future.
Co-authorship network of co-authors of Hans‐Peter Kau
This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Peter Kau. A scholar is included among the top collaborators of Hans‐Peter Kau 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 Hans‐Peter Kau. Hans‐Peter Kau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | EXPERIMENTAL VALIDATION OF A SUB-IDLE COMPRESSOR MAP EXTRAPOLATION | 2 |
| 2 | 1 | |
| 3 | 3 | |
| 4 | COMPARISON OF DIFFERENT NUMERICAL APPROACHES AT THE CENTRIFUGAL COMPRESSOR RADIVER | 5 |
| 5 | Density Based Navier Stokes Solver for Transonic Flows | 20 |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | CMC Materials for Combustion Chamber Applications | 1 |
| 13 | 5 | |
| 14 | 19 | |
| 15 | 29 | |
| 16 | 16 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 20 | |
| 20 | 63 |
About Hans‐Peter Kau
Hans‐Peter Kau is a scholar working on Aerospace Engineering, Computational Mechanics and Applied Mathematics, having authored 37 papers that have together received 407 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (16 papers), Rocket and propulsion systems research (16 papers) and Turbomachinery Performance and Optimization (13 papers). The work is most often cited by research in Computational Mechanics (309 citations), Aerospace Engineering (338 citations) and Fluid Flow and Transfer Processes (32 citations). Hans‐Peter Kau has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Róbert Wágner, Philip Martin, Christoph Kirchberger, Aleksandar Jemcov, Heinz-Peter Schiffer, Philip J. Martin, Marc Bouchez, Volker Gümmer, Erik Johann and Thomas Fuhrmann. Their work appears in journals such as Journal of Turbomachinery, CEAS Space Journal and TUbilio (Technical University of Darmstadt).
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.