Sten Rüdiger
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 2
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- stochastic dynamics and bifurcation 10
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- Neuroscience and Neuropharmacology Research 6
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- Neural dynamics and brain function 10
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- Nonlinear Dynamics and Pattern Formation 7
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- Gene Regulatory Network Analysis 6
- Ion channel regulation and function 5
- Receptor Mechanisms and Signaling 3
- Co-authors
- Jianwei ShuaiRadek ErbanJordi SorianoYandong HuangF. FeudelAlexandre Hiroaki KiharaFriedrich W. JohenningMark B. Flegg
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsCellular and Molecular Neuroscience
In The Last Decade
Sten Rüdiger
26 papers receiving 466 citations
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 41
- Statistical and Nonlinear Physics 93
- Cellular and Molecular Neuroscience 131
- Cognitive Neuroscience 101
- Biophysics 18
Countries citing papers authored by Sten Rüdiger
This map shows the geographic impact of Sten Rüdiger'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 Sten Rüdiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sten Rüdiger more than expected).
Fields of papers citing papers by Sten Rüdiger
This network shows the impact of papers produced by Sten Rüdiger. 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 Sten Rüdiger. The network helps show where Sten Rüdiger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sten Rüdiger, 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 | 2021 | 19 | |
| 2 | 2020 | 4 | |
| 3 | 2020 | 23 | |
| 4 | 2019 | 4 | |
| 5 | 2018 | 25 | |
| 6 | 2017 | 22 | |
| 7 | 2016 | 16 | |
| 8 | 2015 | 14 | |
| 9 | 2015 | 36 | |
| 10 | 2015 | 24 | |
| 11 | 2015 | 18 | |
| 12 | 2014 | 7 | |
| 13 | 2013 | 13 | |
| 14 | 2013 | 30 | |
| 15 | 2012 | 27 | |
| 16 | 2011 | 8 | |
| 17 | 2009 | 34 | |
| 18 | 2007 | 28 | |
| 19 | 2004 | 11 | |
| 20 | 2000 | 22 |
About Sten Rüdiger
Sten Rüdiger is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 470 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (10 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Gene Regulatory Network Analysis (6 papers), Ion channel regulation and function (5 papers), Receptor Mechanisms and Signaling (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Modeling and Simulation (41 citations), Statistical and Nonlinear Physics (93 citations) and Cellular and Molecular Neuroscience (131 citations). Sten Rüdiger has collaborated with scholars based in Germany, Spain and China. Frequent co-authors include Jianwei Shuai, Radek Erban, Jordi Soriano, Yandong Huang, F. Feudel, Alexandre Hiroaki Kihara, Friedrich W. Johenning, Mark B. Flegg, Igor M. Sokolov and Pramod A. Pullarkat. Their work appears in journals such as PLoS Computational Biology, Physics Reports, Molecular Neurobiology, Biophysical Journal and Experimental Neurology.
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.