Reik V. Donner
Statistical and Nonlinear Physics · 2009–2019
A researcher in the Science corpus: 5 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 100 citations into it; #4,635 of 10,127 by trust here, #3,616 by citations
- Economics and Econometrics — 60 citations into it; #11,246 of 23,481 by trust here, #10,609 by citations
- Computer Networks and Communications — 40 citations into it; #4,472 of 9,886 by trust here, #3,753 by citations
- Cognitive Neuroscience — 18 citations into it
- Signal Processing — 15 citations into it
- Artificial Intelligence — 14 citations into it
- Molecular Biology — 14 citations into it
Whom Reik V. Donner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Norbert Marwan
- Floris Takens
- Mark Newman
- Jie Zhang
- J. Dall
- B. Luque
- Alex Arenas
- Jürgen Kurths
- Chstoph Bandt
- Michael Small
Who trusts Reik V. Donner overall
- Yong Zou
- Norbert Marwan
- Zhiguang Wang
- Matthew P. Juniper
- Jonathan F. Donges
- Peter Csermely
- Tim Oates
- R. Sujith
- Jürgen Kurths
- Zbigniew Galias
Papers from Reik V. Donner's perspective
Ordered by how strongly the researchers Reik V. Donner trusts endorse each paper. Same corpus, a different order for every researcher.
- Emergence of Scaling in Random Networks
- Statistical mechanics of complex networks
- The Structure and Function of Complex Networks
- Collective dynamics of ‘small-world’ networks
- Assortative mixing in networks. (Physical Review Letters)
- Exploring complex networks (Nature)
- Network motifs: simple building blocks of complex networks.
- Community detection in graphs
- From time series to complex networks: The visibility graph (Proceedings of the National Academy of Sciences of the United States of America)
- Finding communities in linear time: a physics approach
Their papers
- Recurrence networks—a novel paradigm for nonlinear time series analysis (2009) — 569 citations
- Complex network approach for recurrence analysis of time series (2009) — 555 citations
- Recurrence-based time series analysis by means of complex network methods (2010) — 362 citations
- Complex network approaches to nonlinear time series analysis (2019) — 557 citations
- Turn down the heat : climate extremes, regional impacts, and the case for resilience - full report (2013) — 157 citations