Ekkehard Ullner

1.2k total citations
28 papers, 973 citations indexed

About

Ekkehard Ullner is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience. According to data from OpenAlex, Ekkehard Ullner has authored 28 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 17 papers in Computer Networks and Communications and 11 papers in Cognitive Neuroscience. Recurrent topics in Ekkehard Ullner's work include stochastic dynamics and bifurcation (18 papers), Nonlinear Dynamics and Pattern Formation (17 papers) and Neural dynamics and brain function (11 papers). Ekkehard Ullner is often cited by papers focused on stochastic dynamics and bifurcation (18 papers), Nonlinear Dynamics and Pattern Formation (17 papers) and Neural dynamics and brain function (11 papers). Ekkehard Ullner collaborates with scholars based in United Kingdom, Germany and Spain. Ekkehard Ullner's co-authors include Jordi García‐Ojalvo, Alexey Zaikin, Jürgen Kurths, Evgenii Volkov, E.I. Volkov, Aneta Koseska, Antonio Politi, Hölger Kantz, Antoni Díez‐Noguera and Javier Buceta and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ekkehard Ullner

27 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ekkehard Ullner United Kingdom 15 643 638 315 259 104 28 973
E.I. Volkov Russia 17 771 1.2× 653 1.0× 220 0.7× 245 0.9× 132 1.3× 37 1.1k
Aneta Koseska Germany 19 984 1.5× 812 1.3× 273 0.9× 514 2.0× 200 1.9× 40 1.7k
I. Sendiña–Nadal Spain 23 1.2k 1.9× 1.0k 1.6× 574 1.8× 208 0.8× 82 0.8× 72 1.8k
Steven M. Baer United States 16 512 0.8× 532 0.8× 355 1.1× 153 0.6× 116 1.1× 28 1.0k
Tanmoy Banerjee India 22 1.2k 1.9× 999 1.6× 282 0.9× 79 0.3× 157 1.5× 99 1.6k
Thomas Peron Brazil 14 882 1.4× 568 0.9× 304 1.0× 118 0.5× 62 0.6× 32 1.3k
Manish Dev Shrimali India 21 916 1.4× 1.0k 1.6× 258 0.8× 91 0.4× 108 1.0× 78 1.3k
D. V. Senthilkumar India 20 1.1k 1.7× 835 1.3× 281 0.9× 77 0.3× 124 1.2× 98 1.3k
Dan Tanaka Japan 11 512 0.8× 428 0.7× 222 0.7× 138 0.5× 50 0.5× 19 1.1k
Tiago Pereira Brazil 17 579 0.9× 499 0.8× 344 1.1× 73 0.3× 56 0.5× 46 898

Countries citing papers authored by Ekkehard Ullner

Since Specialization
Citations

This map shows the geographic impact of Ekkehard Ullner'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 Ekkehard Ullner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekkehard Ullner more than expected).

Fields of papers citing papers by Ekkehard Ullner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ekkehard Ullner. 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 Ekkehard Ullner. The network helps show where Ekkehard Ullner may publish in the future.

Co-authorship network of co-authors of Ekkehard Ullner

This figure shows the co-authorship network connecting the top 25 collaborators of Ekkehard Ullner. A scholar is included among the top collaborators of Ekkehard Ullner 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 Ekkehard Ullner. Ekkehard Ullner 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.
Baillon, M., M. Carmen Romano, & Ekkehard Ullner. (2025). Multiplicative Decomposition Model to Predict UK’s Long-Term Electricity Demand with Monthly and Hourly Resolution. SHILAP Revista de lepidopterología. 4(4). 27–27.
2.
Hunter, Irene, et al.. (2024). Mechanistic insights into steroid hormone-mediated regulation of the androgen receptor gene. PLoS ONE. 19(8). e0304183–e0304183. 1 indexed citations
3.
Ullner, Ekkehard, et al.. (2022). Noise-induced artificial intelligence. Physical Review Research. 4(4). 2 indexed citations
4.
Ullner, Ekkehard, et al.. (2020). Stability of synchronous states in sparse neuronal networks. Nonlinear Dynamics. 102(2). 733–743. 4 indexed citations
5.
Whitwell, Harry J., Maria Giulia Bacalini, Oleg Blyuss, et al.. (2020). The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging. Frontiers in Aging Neuroscience. 12. 136–136. 17 indexed citations
6.
Politi, Antonio, Ekkehard Ullner, & Alessandro Torcini. (2018). Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons. The European Physical Journal Special Topics. 227(10-11). 1185–1204. 16 indexed citations
7.
Ebenhöh, Oliver, et al.. (2016). Modelling Robust Feedback Control Mechanisms That Ensure Reliable Coordination of Histone Gene Expression with DNA Replication. PLoS ONE. 11(10). e0165848–e0165848. 3 indexed citations
8.
Neumann, Silke, et al.. (2014). Exponential Signaling Gain at the Receptor Level Enhances Signal-to-Noise Ratio in Bacterial Chemotaxis. PLoS ONE. 9(4). e87815–e87815. 7 indexed citations
9.
Mariño, Inés P., Ekkehard Ullner, & Alexey Zaikin. (2013). Parameter Estimation Methods for Chaotic Intercellular Networks. PLoS ONE. 8(11). e79892–e79892. 4 indexed citations
10.
Ullner, Ekkehard, Saúl Ares, Luis G. Morelli, et al.. (2012). NOISE AND OSCILLATIONS IN BIOLOGICAL SYSTEMS: MULTIDISCIPLINARY APPROACH BETWEEN EXPERIMENTAL BIOLOGY, THEORETICAL MODELLING AND SYNTHETIC BIOLOGY. International Journal of Modern Physics B. 26(25). 1246009–1246009. 2 indexed citations
11.
Saka, Yasushi, et al.. (2011). Theoretical basis of the community effect in development. BMC Systems Biology. 5(1). 54–54. 19 indexed citations
12.
Ullner, Ekkehard, Javier Buceta, Antoni Díez‐Noguera, & Jordi García‐Ojalvo. (2009). Noise-Induced Coherence in Multicellular Circadian Clocks. Biophysical Journal. 96(9). 3573–3581. 47 indexed citations
13.
Koseska, Aneta, Ekkehard Ullner, E.I. Volkov, Jürgen Kurths, & Jordi García‐Ojalvo. (2009). Cooperative differentiation through clustering in multicellular populations. Journal of Theoretical Biology. 263(2). 189–202. 89 indexed citations
14.
Ullner, Ekkehard, Aneta Koseska, Jürgen Kurths, et al.. (2008). Multistability of synthetic genetic networks with repressive cell-to-cell communication. Physical Review E. 78(3). 31904–31904. 73 indexed citations
15.
Ullner, Ekkehard, Alexey Zaikin, Evgenii Volkov, & Jordi García‐Ojalvo. (2007). Multistability and Clustering in a Population of Synthetic Genetic Oscillators via Phase-Repulsive Cell-to-Cell Communication. Physical Review Letters. 99(14). 148103–148103. 193 indexed citations
16.
Tessone, Claudio J., Ekkehard Ullner, Alexey Zaikin, Jürgen Kurths, & Raúl Toral. (2006). Noise-induced inhibitory suppression of frequency-selective stochastic resonance. Physical Review E. 74(4). 46220–46220. 12 indexed citations
17.
Ullner, Ekkehard, Alexey Zaikin, Jordi García‐Ojalvo, & Jürgen Kurths. (2003). Noise-Induced Excitability in Oscillatory Media. Physical Review Letters. 91(18). 180601–180601. 58 indexed citations
18.
Volkov, E.I., Ekkehard Ullner, Alexey Zaikin, & Jürgen Kurths. (2003). Oscillatory amplification of stochastic resonance in excitable systems. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(2). 26214–26214. 82 indexed citations
19.
Volkov, E.I., Ekkehard Ullner, Alexey Zaikin, & Jürgen Kurths. (2003). Frequency-dependent stochastic resonance in inhibitory coupled excitable systems. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 61112–61112. 33 indexed citations
20.
Zaikin, Alexey, et al.. (2003). Doubly Stochastic Coherence via Noise-Induced Symmetry in Bistable Neural Models. Physical Review Letters. 90(3). 30601–30601. 59 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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