R. Friedrich
- Statistical and Nonlinear Physics top 0.5%
- stochastic dynamics and bifurcation 33
- Advanced Thermodynamics and Statistical Mechanics 17
- Statistical Mechanics and Entropy 16
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions 17
- Computational Mechanics top 1%
- Fluid Dynamics and Turbulent Flows 39
-
- Nonlinear Dynamics and Pattern Formation 38
- Condensed Matter Physics top 5%
-
- Complex Systems and Time Series Analysis 18
-
- Wind and Air Flow Studies 13
R. Friedrich
150 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 130
- Statistical and Nonlinear Physics 1.4k
- Modeling and Simulation 388
- Computational Mechanics 708
- Computer Networks and Communications 695
- Condensed Matter Physics 301
Countries citing papers authored by R. Friedrich
This map shows the geographic impact of R. Friedrich'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 R. Friedrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Friedrich more than expected).
Fields of papers citing papers by R. Friedrich
This network shows the impact of papers produced by R. Friedrich. 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 R. Friedrich. The network helps show where R. Friedrich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Friedrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 27 | |
| 2 | 2012 | 31 | |
| 3 | 2012 | 22 | |
| 4 | Vortex-Model for the Inverse Cascade of 2D-Turbulence | 2011 | 1 |
| 5 | 2011 | 10 | |
| 6 | 2011 | 44 | |
| 7 | 2011 | 6 | |
| 8 | 2009 | 16 | |
| 9 | 2008 | 11 | |
| 10 | 2008 | 12 | |
| 11 | 2008 | 25 | |
| 12 | 2007 | 41 | |
| 13 | 2006 | 40 | |
| 14 | 2006 | 90 | |
| 15 | Parametric data analysis of bistable stochastic systems | 2005 | 2 |
| 16 | Estimation of Drift and Diffusion Functions of Stochastic Processes | 2005 | 0 |
| 17 | 2003 | 44 | |
| 18 | 2003 | 35 | |
| 19 | Direct numerical simulation of turbulent flow in a sudden pipe expansion | 1994 | 3 |
| 20 | Requirements for gas-insulated equipment through 1980 | 1975 | 1 |
About R. Friedrich
R. Friedrich is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Computational Mechanics, having authored 152 papers that have together received 3.5k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (39 papers), Nonlinear Dynamics and Pattern Formation (38 papers), stochastic dynamics and bifurcation (33 papers), Complex Systems and Time Series Analysis (18 papers), Advanced Thermodynamics and Statistical Mechanics (17 papers), Fractional Differential Equations Solutions (17 papers), Statistical Mechanics and Entropy (16 papers) and Wind and Air Flow Studies (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Modeling and Simulation (388 citations) and Computational Mechanics (708 citations). R. Friedrich has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Joachim Peinke, Silke Siegert, Hermann Haken, Adrian Baule, Stephan Eule, David Kleinhans, T.D. Frank, Muhammad Sahimi, M. Reza Rahimi Tabar and Michael Bestehorn. Their work appears in journals such as Physics Letters A, New Journal of Physics, The European Physical Journal B, Physical Review Letters and Europhysics Letters (EPL).
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.