Silke Siegert
Impact in
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- stochastic dynamics and bifurcation
- Statistical Mechanics and Entropy
- Advanced Thermodynamics and Statistical Mechanics
- Chaos control and synchronization
Papers in
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- Chaos control and synchronization 2
- Statistical Mechanics and Entropy 2
- Complex Systems and Dynamics 1
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- Neural dynamics and brain function 2
- Co-authors
- R. Friedrich (6 shared papers)Joachim Peinke (2 shared papers)Igor Grabec (3 shared papers)Janez Gradišek (3 shared papers)Mathias Lindemann (1 shared paper)Günther Deuschl (1 shared paper)G. Pfister (1 shared paper)Malte Siefert (1 shared paper)
- Journals
- Physics Letters A (2 papers)Mechanical Systems and Signal Processing (1 paper)Journal of Sound and Vibration (1 paper)OPUS (Augsburg University) (1 paper)Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (2 papers)
In The Last Decade
Silke Siegert
7 papers receiving 516 citations
Peers
Comparison fields: 5 of 73
- Statistical and Nonlinear Physics 232
- Statistics, Probability and Uncertainty 38
- Economics and Econometrics 136
- Global and Planetary Change 92
- Cognitive Neuroscience 75
Countries citing papers authored by Silke Siegert
This map shows the geographic impact of Silke Siegert'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 Silke Siegert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silke Siegert more than expected).
Fields of papers citing papers by Silke Siegert
This network shows the impact of papers produced by Silke Siegert. 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 Silke Siegert. The network helps show where Silke Siegert may publish in the future.
Co-authors
The 10 scholars most cited alongside Silke Siegert, 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 | 1998 | 224 | |
| 2 | 2000 | 165 | |
| 3 | 2000 | 87 | |
| 4 | 2002 | 28 | |
| 5 | 2001 | 28 | |
| 6 | 2002 | 7 | |
| 7 | 2000 | 1 |
About Silke Siegert
Silke Siegert is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Control and Systems Engineering and Computational Mechanics, having authored 7 papers that have together received 540 indexed citations. Recurring topics across this work include Chaos control and synchronization (2 papers), Statistical Mechanics and Entropy (2 papers), Neural dynamics and brain function (2 papers), Complex Systems and Dynamics (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper), Combustion and flame dynamics (1 paper), Wind and Air Flow Studies (1 paper) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (232 citations), Statistics, Probability and Uncertainty (38 citations), Economics and Econometrics (136 citations), Global and Planetary Change (92 citations) and Cognitive Neuroscience (75 citations). Silke Siegert has collaborated with scholars based in Germany and Slovenia. Frequent co-authors include R. Friedrich, Joachim Peinke, Igor Grabec, Janez Gradišek, Mathias Lindemann, Günther Deuschl, G. Pfister, Malte Siefert, Jan Raethjen and Peter Hänggi. Their work appears in journals such as Physics Letters A, Mechanical Systems and Signal Processing, Journal of Sound and Vibration, OPUS (Augsburg University) and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
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.