Rico Berner

837 total citations
23 papers, 487 citations indexed

About

Rico Berner is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Rico Berner has authored 23 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Statistical and Nonlinear Physics and 11 papers in Cognitive Neuroscience. Recurrent topics in Rico Berner's work include Nonlinear Dynamics and Pattern Formation (19 papers), stochastic dynamics and bifurcation (11 papers) and Neural dynamics and brain function (10 papers). Rico Berner is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (19 papers), stochastic dynamics and bifurcation (11 papers) and Neural dynamics and brain function (10 papers). Rico Berner collaborates with scholars based in Germany, Ireland and Austria. Rico Berner's co-authors include Eckehard Schöll, Serhiy Yanchuk, Jakub Sawicki, Jürgen Kurths, Thilo Groß, Christian Kuehn, Igor M. Sokolov, Oleksandr V. Popovych, Iryna Omelchenko and Georg A. Gottwald and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Rico Berner

22 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rico Berner Germany 13 392 295 194 53 42 23 487
Patrycja Jaros Poland 11 395 1.0× 257 0.9× 138 0.7× 130 2.5× 29 0.7× 17 461
Jakub Sawicki Germany 11 286 0.7× 187 0.6× 179 0.9× 60 1.1× 22 0.5× 15 349
Georgi S. Medvedev United States 13 301 0.8× 273 0.9× 148 0.8× 46 0.9× 14 0.3× 34 486
Sarbendu Rakshit India 15 631 1.6× 555 1.9× 330 1.7× 65 1.2× 54 1.3× 27 789
Kensuke Arai Japan 11 366 0.9× 270 0.9× 311 1.6× 59 1.1× 28 0.7× 35 591
Bastian Pietras Spain 9 183 0.5× 124 0.4× 150 0.8× 40 0.8× 27 0.6× 12 259
Mahesh Wickramasinghe United States 9 340 0.9× 144 0.5× 153 0.8× 138 2.6× 41 1.0× 12 422
Oleksandr Burylko Ukraine 12 438 1.1× 226 0.8× 213 1.1× 155 2.9× 36 0.9× 21 531
Takaaki Aoki Japan 11 168 0.4× 142 0.5× 151 0.8× 36 0.7× 37 0.9× 43 411

Countries citing papers authored by Rico Berner

Since Specialization
Citations

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

Fields of papers citing papers by Rico Berner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rico Berner

This figure shows the co-authorship network connecting the top 25 collaborators of Rico Berner. A scholar is included among the top collaborators of Rico Berner 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 Rico Berner. Rico Berner 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.
Berner, Rico, et al.. (2024). Disparity-driven heterogeneous nucleation in finite-size adaptive networks. Physical review. E. 109(5). L052301–L052301. 4 indexed citations
2.
Ehlert, Kristian, et al.. (2024). Mantik: A Workflow Platform for the Development ofArtificial Intelligence on High-Performance ComputingInfrastructures. The Journal of Open Source Software. 9(98). 6136–6136.
3.
Yanchuk, Serhiy, et al.. (2024). Resonant solitary states in complex networks. New Journal of Physics. 26(11). 113016–113016. 1 indexed citations
4.
Yanchuk, Serhiy, et al.. (2024). Modeling brain network flexibility in networks of coupled oscillators: a feasibility study. Scientific Reports. 14(1). 5713–5713. 1 indexed citations
5.
Berner, Rico, et al.. (2023). Synchronization transitions in Kuramoto networks with higher-mode interaction. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(7). 9 indexed citations
6.
Berner, Rico, et al.. (2023). Asymmetric adaptivity induces recurrent synchronization in complex networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(2). 23123–23123. 17 indexed citations
7.
Yanchuk, Serhiy, et al.. (2023). Heterogeneous Nucleation in Finite-Size Adaptive Dynamical Networks. Physical Review Letters. 130(6). 67402–67402. 29 indexed citations
8.
Berner, Rico, Thilo Groß, Christian Kuehn, Jürgen Kurths, & Serhiy Yanchuk. (2023). Adaptive dynamical networks. Physics Reports. 1031. 1–59. 70 indexed citations
9.
Chandrasekar, V. K., et al.. (2022). Exotic states induced by coevolving connection weights and phases in complex networks. Physical review. E. 105(3). 34312–34312. 14 indexed citations
10.
Franović, Igor, et al.. (2022). Collective Activity Bursting in a Population of Excitable Units Adaptively Coupled to a Pool of Resources. PubMed. 2. 841829–841829. 5 indexed citations
11.
Sawicki, Jakub, et al.. (2022). Modeling Tumor Disease and Sepsis by Networks of Adaptively Coupled Phase Oscillators. PubMed. 1. 730385–730385. 20 indexed citations
12.
Berner, Rico, et al.. (2022). Critical Parameters in Dynamic Network Modeling of Sepsis. PubMed. 2. 904480–904480. 13 indexed citations
13.
Berner, Rico, et al.. (2021). Desynchronization Transitions in Adaptive Networks. Physical Review Letters. 126(2). 28301–28301. 62 indexed citations
14.
Berner, Rico, Serhiy Yanchuk, & Eckehard Schöll. (2021). What adaptive neuronal networks teach us about power grids. Physical review. E. 103(4). 42315–42315. 39 indexed citations
15.
Berner, Rico & Serhiy Yanchuk. (2021). Synchronization in Networks With Heterogeneous Adaptation Rules and Applications to Distance-Dependent Synaptic Plasticity. Frontiers in Applied Mathematics and Statistics. 7. 7 indexed citations
16.
Berner, Rico. (2021). Patterns of Synchrony in Complex Networks of Adaptively Coupled Oscillators. Springer theses. 10 indexed citations
17.
Berner, Rico, Jakub Sawicki, & Eckehard Schöll. (2020). Birth and Stabilization of Phase Clusters by Multiplexing of Adaptive Networks. Physical Review Letters. 124(8). 88301–88301. 48 indexed citations
18.
Sawicki, Jakub, et al.. (2020). Effect of topology upon relay synchronization in triplex neuronal networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(5). 51104–51104. 24 indexed citations
19.
Yanchuk, Serhiy, Rico Berner, & Eckehard Schöll. (2020). Frequency clusters in adaptive networks. 313–316. 3 indexed citations
20.
Berner, Rico, et al.. (2019). Frequency cluster formation and slow oscillations in neural populations with plasticity. PLoS ONE. 14(11). e0225094–e0225094. 24 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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