R. Friedrich

5.4k total citations
152 papers, 3.5k citations indexed

About

R. Friedrich is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, R. Friedrich has authored 152 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Statistical and Nonlinear Physics, 45 papers in Computational Mechanics and 38 papers in Computer Networks and Communications. Recurrent topics in R. Friedrich's work include Fluid Dynamics and Turbulent Flows (39 papers), Nonlinear Dynamics and Pattern Formation (38 papers) and stochastic dynamics and bifurcation (33 papers). R. Friedrich is often cited by papers focused on Fluid Dynamics and Turbulent Flows (39 papers), Nonlinear Dynamics and Pattern Formation (38 papers) and stochastic dynamics and bifurcation (33 papers). R. Friedrich collaborates with scholars based in Germany, United States and Netherlands. R. Friedrich's 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 and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

R. Friedrich

150 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. Friedrich Germany 32 1.4k 708 695 562 462 152 3.5k
Hannes Risken Germany 2 2.8k 2.0× 323 0.5× 568 0.8× 284 0.5× 296 0.6× 2 5.2k
Georg A. Gottwald Australia 25 2.1k 1.6× 299 0.4× 650 0.9× 406 0.7× 267 0.6× 98 3.4k
Floris Takens Netherlands 32 4.1k 3.0× 765 1.1× 2.1k 3.0× 1.4k 2.4× 335 0.7× 90 8.1k
Tamás Tél Hungary 44 3.9k 2.9× 707 1.0× 1.6k 2.3× 582 1.0× 745 1.6× 193 6.2k
Joachim Peinke Germany 41 1.9k 1.4× 2.0k 2.8× 790 1.1× 1.5k 2.7× 822 1.8× 338 7.3k
Gemunu H. Gunaratne United States 23 1.1k 0.8× 970 1.4× 815 1.2× 339 0.6× 362 0.8× 107 3.1k
E. A. Spiegel United States 42 1.5k 1.1× 1.9k 2.7× 1.3k 1.8× 247 0.4× 486 1.1× 151 5.9k
J. M. Sancho Spain 40 4.0k 2.9× 327 0.5× 2.1k 3.0× 159 0.3× 634 1.4× 247 6.6k
Alain Pumir France 40 838 0.6× 2.5k 3.6× 1.0k 1.5× 165 0.3× 560 1.2× 158 4.9k
John A. Vastano United States 10 4.7k 3.5× 327 0.5× 2.9k 4.2× 1.2k 2.2× 355 0.8× 13 7.6k

Countries citing papers authored by R. Friedrich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of R. Friedrich

This figure shows the co-authorship network connecting the top 25 collaborators of R. Friedrich. A scholar is included among the top collaborators of R. Friedrich 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 R. Friedrich. R. Friedrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Argyris, John, Gunter Faust, Maria Haase, & R. Friedrich. (2017). Die Erforschung des Chaos. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
2.
Gurevich, Svetlana V. & R. Friedrich. (2013). Instabilities of Localized Structures in Dissipative Systems with Delayed Feedback. Physical Review Letters. 110(1). 14101–14101. 27 indexed citations
3.
Li, Liqiang, Michael Kopf, Svetlana V. Gurevich, R. Friedrich, & Lifeng Chi. (2012). Patterning: Structure Formation by Dynamic Self‐Assembly (Small 4/2012). Small. 8(4). 487–487. 2 indexed citations
4.
Li, Liqiang, Michael Kopf, Svetlana V. Gurevich, R. Friedrich, & Lifeng Chi. (2012). Structure Formation by Dynamic Self‐Assembly. Small. 8(4). 488–503. 31 indexed citations
5.
Friedrich, Jan & R. Friedrich. (2011). Vortex-Model for the Inverse Cascade of 2D-Turbulence. arXiv (Cornell University). 1 indexed citations
6.
Wilczek, Michael, et al.. (2011). Statistical analysis of global wind dynamics in vigorous Rayleigh-Bénard convection. Physical Review E. 84(2). 26309–26309. 30 indexed citations
7.
Friedrich, R., Joachim Peinke, Muhammad Sahimi, & M. Reza Rahimi Tabar. (2011). Approaching complexity by stochastic methods: From biological systems to turbulence. Physics Reports. 506(5). 87–162. 233 indexed citations
8.
Wilczek, Michael, et al.. (2011). Temperature statistics in turbulent Rayleigh–Bénard convection. New Journal of Physics. 13(1). 15002–15002. 5 indexed citations
9.
Lind, Pedro G., et al.. (2010). Extracting strong measurement noise from stochastic time series: Applications to empirical data. Physical Review E. 81(4). 41125–41125. 23 indexed citations
10.
Bahraminasab, Alireza, Fatemeh Ghasemi, Aneta Stefanovska, P. V. E. McClintock, & R. Friedrich. (2009). Physics of brain dynamics: Fokker–Planck analysis reveals changes in EEG δ–θ interactions in anæsthesia. New Journal of Physics. 11(10). 103051–103051. 16 indexed citations
11.
Kamps, Oliver & R. Friedrich. (2008). Lagrangian statistics in forced two-dimensional turbulence. Physical Review E. 78(3). 36321–36321. 11 indexed citations
12.
Eule, Stephan, R. Friedrich, F. Jenko, & Igor M. Sokolov. (2008). Continuous-time random walks with internal dynamics and subdiffusive reaction-diffusion equations. Physical Review E. 78(6). 60102–60102. 18 indexed citations
13.
Baule, Adrian & R. Friedrich. (2007). A fractional diffusion equation for two-point probability distributions of a continuous-time random walk. Europhysics Letters (EPL). 77(1). 10002–10002. 37 indexed citations
14.
Kleinhans, David, et al.. (2005). Estimation of Drift and Diffusion Functions of Stochastic Processes. arXiv (Cornell University).
15.
Frank, T.D., Markus Sondermann, T. Ackemann, & R. Friedrich. (2005). Parametric data analysis of bistable stochastic systems. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 2 indexed citations
16.
Renner, Ch., et al.. (2002). Universality of Small Scale Turbulence. Physical Review Letters. 89(12). 124502–124502. 40 indexed citations
17.
Friedrich, R., et al.. (1998). Direct numerical simulation of turbulent flow through permeable or rough pipes. elib (German Aerospace Center). 2 indexed citations
18.
Friedrich, R., et al.. (1994). Direct numerical simulation of turbulent flow in a sudden pipe expansion. In AGARD. 3 indexed citations
19.
Jirsa, Viktor, R. Friedrich, Hermann Haken, & J. A. Scott Kelso. (1994). A theoretical model of phase transitions in the human brain. Biological Cybernetics. 71(1). 27–35. 99 indexed citations
20.
Friedrich, R.. (1975). Requirements for gas-insulated equipment through 1980. 37. 1 indexed citations

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.

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