Reik V. Donner

7.8k total citations · 4 hit papers
129 papers, 5.0k citations indexed

About

Reik V. Donner is a scholar working on Economics and Econometrics, Global and Planetary Change and Statistical and Nonlinear Physics. According to data from OpenAlex, Reik V. Donner has authored 129 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Economics and Econometrics, 48 papers in Global and Planetary Change and 37 papers in Statistical and Nonlinear Physics. Recurrent topics in Reik V. Donner's work include Complex Systems and Time Series Analysis (53 papers), Climate variability and models (36 papers) and Complex Network Analysis Techniques (20 papers). Reik V. Donner is often cited by papers focused on Complex Systems and Time Series Analysis (53 papers), Climate variability and models (36 papers) and Complex Network Analysis Techniques (20 papers). Reik V. Donner collaborates with scholars based in Germany, United Kingdom and Sweden. Reik V. Donner's co-authors include Jonathan F. Donges, Norbert Marwan, Jürgen Kurths, Yong Zou, Jürgen Kurths, Carl‐Friedrich Schleussner, Hans Joachim Schellnhuber, Jonatan F. Siegmund, Susana Barbosa and Michael Small and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Reik V. Donner

125 papers receiving 4.9k citations

Hit Papers

Recurrence networks—a novel paradigm for nonlinear time s... 2009 2026 2014 2020 2010 2009 2018 2016 100 200 300 400

Peers

Reik V. Donner
Yong Zou China
Donald B. Percival United States
Wen‐wen Tung United States
Jianbo Gao United States
Richard A. Davis United States
Anastasios A. Tsonis United States
Yong Zou China
Reik V. Donner
Citations per year, relative to Reik V. Donner Reik V. Donner (= 1×) peers Yong Zou

Countries citing papers authored by Reik V. Donner

Since Specialization
Citations

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

Fields of papers citing papers by Reik V. Donner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reik V. Donner. 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 Reik V. Donner. The network helps show where Reik V. Donner may publish in the future.

Co-authorship network of co-authors of Reik V. Donner

This figure shows the co-authorship network connecting the top 25 collaborators of Reik V. Donner. A scholar is included among the top collaborators of Reik V. Donner 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 Reik V. Donner. Reik V. Donner 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.
Capua, Giorgia Di, Evangelos Tyrlis, Daniela Matei, & Reik V. Donner. (2024). Tropical and mid-latitude causal drivers of the eastern Mediterranean Etesians during boreal summer. Climate Dynamics. 62(10). 9565–9585. 2 indexed citations
2.
Alberti, Tommaso, Davide Faranda, Valerio Lucarini, et al.. (2023). Scale dependence of fractal dimension in deterministic and stochastic Lorenz-63 systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(2). 23144–23144. 12 indexed citations
3.
Donner, Reik V., et al.. (2022). Partial event coincidence analysis for distinguishing direct and indirect coupling in functional network construction. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(6). 63134–63134. 2 indexed citations
4.
Alberti, Tommaso, Davide Faranda, Giuseppe Consolini, et al.. (2022). Concurrent Effects between Geomagnetic Storms and Magnetospheric Substorms. Universe. 8(4). 226–226. 9 indexed citations
5.
Huang, Min, Zhongkui Sun, Reik V. Donner, et al.. (2021). Characterizing dynamical transitions by statistical complexity measures based on ordinal pattern transition networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(3). 33127–33127. 18 indexed citations
6.
Alberti, Tommaso, Davide Faranda, Reik V. Donner, et al.. (2021). Small-scale Induced Large-scale Transitions in Solar Wind Magnetic Field. The Astrophysical Journal Letters. 914(1). L6–L6. 8 indexed citations
7.
Ciemer, Catrin, et al.. (2021). Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics. 230(14-15). 3075–3100. 8 indexed citations
8.
Alberti, Tommaso, et al.. (2020). Multiscale measures of phase-space trajectories. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(12). 123116–123116. 12 indexed citations
9.
Alberti, Tommaso, et al.. (2020). Disentangling nonlinear geomagnetic variability during magnetic storms and quiescence by timescale dependent recurrence properties. Journal of Space Weather and Space Climate. 10. 25–25. 11 indexed citations
10.
Singh, Manmeet, R. Krishnan, Bedartha Goswami, et al.. (2020). Fingerprint of volcanic forcing on the ENSO–Indian monsoon coupling. Science Advances. 6(38). 42 indexed citations
11.
Donner, Reik V., et al.. (2019). Ordinal partition transition network based complexity measures for inferring coupling direction and delay from time series. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(4). 43111–43111. 26 indexed citations
12.
Loew, Alexander, William Bell, Luca Brocca, et al.. (2017). Validation practices for satellite‐based Earth observation data across communities. Reviews of Geophysics. 55(3). 779–817. 146 indexed citations
13.
Donner, Reik V. & Jonathan F. Donges. (2012). Visibility Graph Analysis of Geophysical Time Series - Potentials and Possible Pitfalls. Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)). 14314. 6 indexed citations
14.
Donges, Jonathan F., Reik V. Donner, Martin H. Trauth, et al.. (2012). Recurrence network-based time series analysis for identifying tipping points in Plio-Pleistocene African climate. EGU General Assembly Conference Abstracts. 4342. 1 indexed citations
15.
Kurths, Jürgen, Jonathan F. Donges, Reik V. Donner, Norbert Marwan, & Yong Zou. (2010). Nonlinear Time Series Analysis in Earth Sciences - Potentials and Pitfalls. EGUGA. 9126.
16.
Donner, Reik V., et al.. (2010). Urban Street Networks as an Example for Spatial Networks with Universal Geometric Features: A Case Study from Germany. EGU General Assembly Conference Abstracts. 13522. 1 indexed citations
17.
Zou, Yong, et al.. (2010). Identifying shrimps in continuous dynamical systems using recurrence-based methods. EGU General Assembly Conference Abstracts. 8226. 3 indexed citations
18.
Donner, Reik V.. (2009). Complex network approach to geophysical time series analysis. EGU General Assembly Conference Abstracts. 29(11). 11157–8. 1 indexed citations
19.
Donner, Reik V. & Susana Barbosa. (2008). Nonlinear time series analysis in the geosciences : applications in climatology, geodynamics and solar terrestrial physics. Springer eBooks. 38 indexed citations
20.
Scholz‐Reiter, Bernd, et al.. (2006). Modelling of networks of production and logistics and analysis of their nonlinear dynamics. international conference on Modelling and simulation. 178–183. 1 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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