Oliver Kamps

555 total citations
24 papers, 312 citations indexed

About

Oliver Kamps is a scholar working on Economics and Econometrics, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Oliver Kamps has authored 24 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 10 papers in Global and Planetary Change and 7 papers in Computational Mechanics. Recurrent topics in Oliver Kamps's work include Complex Systems and Time Series Analysis (11 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). Oliver Kamps is often cited by papers focused on Complex Systems and Time Series Analysis (11 papers), Fluid Dynamics and Turbulent Flows (7 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). Oliver Kamps collaborates with scholars based in Germany, Japan and France. Oliver Kamps's co-authors include Joachim Peinke, R. Friedrich, Rainer Grauer, Michael Wilczek, Holger Homann, Vasilis Dakos, Markus Schwarzländer, Isao T. Tokuda, Chun‐Wei Chang and Chih‐hao Hsieh and has published in prestigious journals such as Nature Communications, Journal of Computational Physics and Science Advances.

In The Last Decade

Oliver Kamps

22 papers receiving 307 citations

Peers

Oliver Kamps

EEE

SNP

GPC

CNC

David Hess United States

V. Shanmugasundaram India

Heiko Schmidt Germany

Bainian Liu China

Yury Kolokolov Russia

Peter Plaschko Germany

César Quilodrán-Casas United Kingdom

Pantelis R. Vlachas Switzerland

Yuta Okuno Japan

David Hess United States

Oliver Kamps

27 ×0.3

EEE

126 ×1.7

25 ×0.4

SNP

15 ×0.2

GPC

8 ×0.1

CNC

Citations per year, relative to Oliver Kamps Oliver Kamps (= 1×) peers David Hess

Countries citing papers authored by Oliver Kamps

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Kamps

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Kamps

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Kamps. A scholar is included among the top collaborators of Oliver Kamps 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 Oliver Kamps. Oliver Kamps is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kamps, Oliver, et al.. (2025). Quantifying local stability and noise levels from time series in the US Western Interconnection blackout on 10th August 1996. Nature Communications. 16(1). 6246–6246. 1 indexed citations

Kamps, Oliver, et al.. (2024). Estimating stable fixed points and Langevin potentials for financial dynamics. Physical review. E. 109(2). 24226–24226. 1 indexed citations

Kamps, Oliver, et al.. (2024). Cooperation in a non-ergodic world on a network - insurance and beyond. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(7).

Kamps, Oliver, et al.. (2024). Causal Hierarchy in the Financial Market Network—Uncovered by the Helmholtz–Hodge–Kodaira Decomposition. Entropy. 26(10). 858–858.

Kamps, Oliver, et al.. (2023). Efficient Bayesian estimation of the generalized Langevin equation from data. Journal of Computational Physics. 497. 112626–112626. 5 indexed citations

Chang, Chun‐Wei, Vasilis Dakos, Egbert H. van Nes, et al.. (2023). Anticipating the occurrence and type of critical transitions. Science Advances. 9(1). eabq4558–eabq4558. 30 indexed citations

Kamps, Oliver, et al.. (2023). Identifying dominant industrial sectors in market states of the S&P 500 financial data. Journal of Statistical Mechanics Theory and Experiment. 2023(4). 43402–43402. 4 indexed citations

Kamps, Oliver, et al.. (2023). Efficient Multi-Change Point Analysis to Decode Economic Crisis Information from the S&P500 Mean Market Correlation. Entropy. 25(9). 1265–1265. 3 indexed citations

Kamps, Oliver, et al.. (2023). Memory Effects, Multiple Time Scales and Local Stability in Langevin Models of the S&P500 Market Correlation. Entropy. 25(9). 1257–1257. 7 indexed citations

10.

Gorjão, Leonardo Rydin, et al.. (2023). Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands. 1–1. 4 indexed citations

11.

Kamps, Oliver, et al.. (2022). Quantifying resilience and the risk of regime shifts under strong correlated noise. PNAS Nexus. 2(2). pgac296–pgac296. 7 indexed citations

12.

Kamps, Oliver, et al.. (2021). Exemplary python implementation of the estimation procedures proposed in "Non-parametric estimation of a Langevin model driven by correlated noise". Zenodo (CERN European Organization for Nuclear Research). 10 indexed citations

13.

Thiele, Uwe, et al.. (2020). Adaptive stochastic continuation with a modified lifting procedure applied to complex systems. Physical review. E. 102(3). 32210–32210. 3 indexed citations

14.

Lind, Pedro G., et al.. (2019). Heterogeneities in electricity grids strongly enhance non-Gaussian features of frequency fluctuations under stochastic power input. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(10). 103149–103149. 20 indexed citations

15.

Friedrich, R., et al.. (2012). The Lundgren–Monin–Novikov hierarchy: Kinetic equations for turbulence. Comptes Rendus Physique. 13(9-10). 929–953. 22 indexed citations

16.

Kamps, Oliver & Michael Wilczek. (2011). Long Time Memory of Lagrangian Acceleration Statistics in 2D and 3D Turbulence. Journal of Physics Conference Series. 318(5). 52033–52033. 1 indexed citations

17.

Kamps, Oliver, R. Friedrich, & Rainer Grauer. (2009). Exact relation between Eulerian and Lagrangian velocity increment statistics. Physical Review E. 79(6). 17 indexed citations

18.

Kamps, Oliver & R. Friedrich. (2008). Lagrangian statistics in forced two-dimensional turbulence. Physical Review E. 78(3). 36321–36321. 11 indexed citations

19.

Wilczek, Michael, Oliver Kamps, & R. Friedrich. (2008). Lagrangian investigation of two-dimensional decaying turbulence. Physica D Nonlinear Phenomena. 237(14-17). 2090–2094. 12 indexed citations

20.

Kamps, Oliver, et al.. (2005). Instability threshold of a photorefractive pattern-forming system. Physical Review E. 72(1). 16215–16215. 2 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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