Sten Rüdiger

678 total citations
26 papers, 470 citations indexed

About

Sten Rüdiger is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Sten Rüdiger has authored 26 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Statistical and Nonlinear Physics and 10 papers in Cognitive Neuroscience. Recurrent topics in Sten Rüdiger's work include Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (10 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Sten Rüdiger is often cited by papers focused on Neural dynamics and brain function (10 papers), stochastic dynamics and bifurcation (10 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). Sten Rüdiger collaborates with scholars based in Germany, Spain and China. Sten Rüdiger's co-authors include Jianwei Shuai, Radek Erban, Jordi Soriano, Yandong Huang, F. Feudel, Alexandre Hiroaki Kihara, Friedrich W. Johenning, Mark B. Flegg, Pramod A. Pullarkat and Albrecht Ott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Sten Rüdiger

26 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sten Rüdiger Germany 15 206 131 101 93 71 26 470
P. Érdi Hungary 13 208 1.0× 138 1.1× 302 3.0× 119 1.3× 58 0.8× 35 705
Äthan Spiros United States 16 277 1.3× 147 1.1× 109 1.1× 32 0.3× 108 1.5× 37 789
Preben Graae Sørensen Denmark 14 427 2.1× 86 0.7× 63 0.6× 155 1.7× 462 6.5× 22 823
Stefan Wils Japan 5 192 0.9× 121 0.9× 113 1.1× 77 0.8× 16 0.2× 5 457
Philip Bittihn Germany 15 497 2.4× 195 1.5× 77 0.8× 131 1.4× 204 2.9× 29 1.1k
Alexey V. Melkikh Russia 15 221 1.1× 72 0.5× 54 0.5× 177 1.9× 23 0.3× 92 747
Michèle S. Titcombe Canada 6 91 0.4× 76 0.6× 54 0.5× 90 1.0× 58 0.8× 8 309
Vivien Kirk New Zealand 17 274 1.3× 76 0.6× 107 1.1× 413 4.4× 375 5.3× 42 888
Rafael Lahoz-Beltrá Spain 12 100 0.5× 42 0.3× 34 0.3× 10 0.1× 25 0.4× 51 492
Alessandro Loppini Italy 13 102 0.5× 55 0.4× 80 0.8× 92 1.0× 61 0.9× 42 387

Countries citing papers authored by Sten Rüdiger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sten Rüdiger

This figure shows the co-authorship network connecting the top 25 collaborators of Sten Rüdiger. A scholar is included among the top collaborators of Sten Rüdiger 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 Sten Rüdiger. Sten Rüdiger 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.
Rüdiger, Sten, et al.. (2021). Predicting the SARS-CoV-2 effective reproduction number using bulk contact data from mobile phones. Proceedings of the National Academy of Sciences. 118(31). 19 indexed citations
2.
Lenzi, Stephen C., et al.. (2020). Circuit-Specific Dendritic Development in the Piriform Cortex. eNeuro. 7(3). ENEURO.0083–20.2020. 4 indexed citations
3.
Rüdiger, Sten, et al.. (2020). Epidemics with mutating infectivity on small-world networks. Scientific Reports. 10(1). 5919–5919. 23 indexed citations
4.
Rüdiger, Sten, et al.. (2019). Gap junctions set the speed and nucleation rate of stage I retinal waves. PLoS Computational Biology. 15(4). e1006355–e1006355. 4 indexed citations
5.
Rüdiger, Sten, et al.. (2018). Neuronal Spatial Arrangement Shapes Effective Connectivity Traits of in vitro Cortical Networks. IEEE Transactions on Network Science and Engineering. 7(1). 435–448. 25 indexed citations
6.
Kinjo, Érika Reime, et al.. (2017). New Insights on Temporal Lobe Epilepsy Based on Plasticity-Related Network Changes and High-Order Statistics. Molecular Neurobiology. 55(5). 3990–3998. 22 indexed citations
7.
Takada, Silvia Honda, Érica de Sousa, Rodrigo R. Resende, et al.. (2016). Determining the Roles of Inositol Trisphosphate Receptors in Neurodegeneration: Interdisciplinary Perspectives on a Complex Topic. Molecular Neurobiology. 54(9). 6870–6884. 16 indexed citations
8.
Huang, Yandong, Sten Rüdiger, & Jianwei Shuai. (2015). Accurate Langevin approaches to simulate Markovian channel dynamics. Physical Biology. 12(6). 61001–61001. 14 indexed citations
9.
Johenning, Friedrich W., et al.. (2015). Ryanodine Receptor Activation Induces Long-Term Plasticity of Spine Calcium Dynamics. PLoS Biology. 13(6). e1002181–e1002181. 36 indexed citations
10.
Parker, Ian, et al.. (2015). Modulation of Elementary Calcium Release Mediates a Transition from Puffs to Waves in an IP3R Cluster Model. PLoS Computational Biology. 11(1). e1003965–e1003965. 24 indexed citations
11.
Higa, Guilherme Shigueto Vilar, Érica de Sousa, Érika Reime Kinjo, et al.. (2014). Functional regulation of neuronal nitric oxide synthase expression and activity in the rat retina. Experimental Neurology. 261. 510–517. 7 indexed citations
12.
Rüdiger, Sten. (2013). Stochastic models of intracellular calcium signals. Physics Reports. 534(2). 39–87. 36 indexed citations
13.
Flegg, Mark B., Sten Rüdiger, & Radek Erban. (2013). Diffusive spatio-temporal noise in a first-passage time model for intracellular calcium release. The Journal of Chemical Physics. 138(15). 154103–154103. 30 indexed citations
14.
Rüdiger, Sten, Peter Jung, & Jianwei Shuai. (2012). Termination of Ca2+ Release for Clustered IP3R Channels. PLoS Computational Biology. 8(5). e1002485–e1002485. 27 indexed citations
15.
Rüdiger, Sten, et al.. (2011). Traveling echo waves in an array of excitable elements with time-delayed coupling. Physical Review E. 83(3). 36209–36209. 8 indexed citations
16.
Rüdiger, Sten, et al.. (2010). Coherent calcium puff signals driven by intracellular noises. Physica A Statistical Mechanics and its Applications. 390(6). 1117–1123. 5 indexed citations
17.
Soriano, Jordi, Sten Rüdiger, Pramod A. Pullarkat, & Albrecht Ott. (2009). Mechanogenetic Coupling of Hydra Symmetry Breaking and Driven Turing Instability Model. Biophysical Journal. 96(4). 1649–1660. 34 indexed citations
18.
Rüdiger, Sten, Ernesto M. Nicola, Jaume Casademunt, & Lorenz Kramer. (2007). Theory of pattern forming systems under traveling-wave forcing. Physics Reports. 447(3-6). 73–111. 28 indexed citations
19.
Vega, José M., Sten Rüdiger, & Jorge Viñals. (2004). Phenomenological model of weakly damped Faraday waves and the associated mean flow. Physical Review E. 70(4). 46306–46306. 11 indexed citations
20.
Rüdiger, Sten & F. Feudel. (2000). Pattern formation in Rayleigh-Bénard convection in a cylindrical container. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 62(4). 4927–4931. 22 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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