Michael Small

15.3k total citations · 1 hit paper
463 papers, 11.1k citations indexed

About

Michael Small is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Computer Networks and Communications. According to data from OpenAlex, Michael Small has authored 463 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Statistical and Nonlinear Physics, 90 papers in Economics and Econometrics and 80 papers in Computer Networks and Communications. Recurrent topics in Michael Small's work include Complex Network Analysis Techniques (116 papers), Complex Systems and Time Series Analysis (89 papers) and Chaos control and synchronization (81 papers). Michael Small is often cited by papers focused on Complex Network Analysis Techniques (116 papers), Complex Systems and Time Series Analysis (89 papers) and Chaos control and synchronization (81 papers). Michael Small collaborates with scholars based in Australia, China and Hong Kong. Michael Small's co-authors include Chi K. Tse, J. Zhang, Xiao-Ke Xu, Xinchu Fu, Jürgen Kurths, Jie Zhang, Kevin Judd, David M. Walker, Haifeng Zhang and Tomomichi Nakamura and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Michael Small

439 papers receiving 10.5k citations

Hit Papers

Complex Network from Pseu... 2006 2026 2012 2019 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Complex Network from Pseudoperiodic Time Series: Topology versus Dynamics
    2006 592 citations Michael Small et al. Physical Review Letters profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Small 4.2k 2.3k 1.7k 1.3k 1.1k 463 11.1k
Kazuyuki Aihara 4.9k 1.2× 631 0.3× 3.2k 1.8× 4.8k 3.8× 3.5k 3.1× 815 17.5k
Leon Glass 5.5k 1.3× 1.8k 0.8× 5.2k 3.0× 3.0k 2.4× 7.9k 7.1× 232 26.6k
John C. Doyle 4.8k 1.1× 378 0.2× 5.5k 3.1× 1.7k 1.3× 509 0.5× 327 41.1k
Plamen Ch. Ivanov 3.5k 0.8× 7.1k 3.1× 1.2k 0.7× 1.7k 1.3× 7.5k 6.8× 137 23.1k
Jens Timmer 841 0.2× 549 0.2× 572 0.3× 815 0.6× 3.4k 3.1× 361 16.5k
Lennart Ljung 2.0k 0.5× 357 0.2× 1.7k 1.0× 8.2k 6.5× 662 0.6× 509 38.3k
J. A. Tenreiro Machado 5.2k 1.2× 1.3k 0.6× 1.5k 0.9× 1.6k 1.3× 200 0.2× 752 22.5k
Iain M. Johnstone 381 0.1× 1.1k 0.5× 568 0.3× 3.8k 3.0× 788 0.7× 117 29.0k
Hui Zou 318 0.1× 1.7k 0.8× 546 0.3× 5.8k 4.6× 1.1k 1.0× 130 26.1k
Luonan Chen 1.6k 0.4× 202 0.1× 774 0.4× 1.5k 1.1× 572 0.5× 507 15.3k

Countries citing papers authored by Michael Small

Since Specialization
Citations

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

Fields of papers citing papers by Michael Small

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Small

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Small. A scholar is included among the top collaborators of Michael Small 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 Michael Small. Michael Small 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.
Lei, Youming, et al.. (2024). Chaos synchronization of two coupled map lattice systems using safe reinforcement learning. Chaos Solitons & Fractals. 186. 115241–115241. 3 indexed citations
2.
Stemler, Thomas, et al.. (2024). Cognitive dissonance and introversion effects on opinion dynamics and echo chamber formation. Physica A Statistical Mechanics and its Applications. 654. 130130–130130.
3.
4.
Small, Michael, et al.. (2024). Network Spreading from Network Dimension. Physical Review Letters. 132(23). 237401–237401. 6 indexed citations
5.
Zio, Enrico, et al.. (2023). Improving resilience of high-speed train by optimizing repair strategies. Reliability Engineering & System Safety. 237. 109381–109381. 18 indexed citations
6.
Weng, Tongfeng, et al.. (2023). Synchronization of machine learning oscillators in complex networks. Information Sciences. 630. 74–81. 7 indexed citations
7.
Liu, Lixiang, et al.. (2023). Global stability and optimal control of epidemics in heterogeneously structured populations exhibiting adaptive behavior. Communications in Nonlinear Science and Numerical Simulation. 126. 107500–107500. 6 indexed citations
8.
Weng, Tongfeng, et al.. (2023). Synchronization of multiple mobile reservoir computing oscillators in complex networks. Chaos Solitons & Fractals. 177. 114217–114217. 2 indexed citations
9.
Small, Michael, et al.. (2023). Correlation dimension in empirical networks. Physical review. E. 107(3). 34310–34310. 2 indexed citations
10.
Jüngling, Thomas, et al.. (2022). Reservoir time series analysis: Using the response of complex dynamical systems as a universal indicator of change. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(3). 33109–33109. 8 indexed citations
11.
Jüngling, Thomas, et al.. (2021). Parameter extraction with reservoir computing: Nonlinear time series analysis and application to industrial maintenance. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(3). 33122–33122. 4 indexed citations
12.
Jüngling, Thomas, et al.. (2021). Consistency Hierarchy of Reservoir Computers. IEEE Transactions on Neural Networks and Learning Systems. 33(6). 2586–2595. 6 indexed citations
13.
Small, Michael, et al.. (2021). Reservoir computing with swarms. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(3). 33121–33121. 12 indexed citations
14.
Jüngling, Thomas, Thomas Stemler, & Michael Small. (2020). Laminar chaos in nonlinear electronic circuits with delay clock modulation. Physical review. E. 101(1). 12215–12215. 9 indexed citations
15.
Mackay, Meggan, An Vo, Chris C. Tang, et al.. (2019). Metabolic and microstructural alterations in the SLE brain correlate with cognitive impairment. JCI Insight. 4(1). 55 indexed citations
16.
Walker, David M., et al.. (2019). The reservoir’s perspective on generalized synchronization. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(9). 93133–93133. 29 indexed citations
17.
Ma, Chuang, et al.. (2018). Detection of core-periphery structure in networks based on 3-tuple motifs. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(5). 53121–53121. 7 indexed citations
18.
Stemler, Thomas, et al.. (2017). Regenerating time series from ordinal networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 27(3). 35814–35814. 33 indexed citations
19.
Stemler, Thomas, et al.. (2016). Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitter. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(12). 123103–123103. 29 indexed citations
20.
Stemler, Thomas, et al.. (2016). Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(12). 123104–123104. 26 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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