Michael Small
Impact in
- Statistical and Nonlinear Physics top 0.05%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Chaos control and synchronization
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
Papers in
-
- Complex Network Analysis Techniques 116
- Chaos control and synchronization 81
- Opinion Dynamics and Social Influence 80
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- Complex Systems and Time Series Analysis 89
- Co-authors
- Chi K. Tse (31 shared papers)J. Zhang (2 shared papers)Xiao-Ke Xu (19 shared papers)Xinchu Fu (26 shared papers)Jürgen Kurths (7 shared papers)Jie Zhang (2 shared papers)Kevin Judd (16 shared papers)David M. Walker (24 shared papers)
In The Last Decade
Michael Small
439 papers receiving 10.5k citations
Michael Small's Hit Papers
Peers
Comparison fields: 5 of 207
- Statistical and Nonlinear Physics 4.2k
- Modeling and Simulation 797
- Signal Processing 929
- Economics and Econometrics 2.3k
- Computer Networks and Communications 1.7k
Countries citing papers authored by Michael Small
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
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-authors
The 25 scholars most cited alongside Michael Small, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 463 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Complex Network from Pseudoperiodic Time Series: Topology versus Dynamics Hit paper breakdown → | 2006 | 592 |
| 2 | 2008 | 389 | |
| 3 | 2011 | 304 | |
| 4 | 2016 | 228 | |
| 5 | 2008 | 185 | |
| 6 | 1974 | 182 | |
| 7 | 1975 | 181 | |
| 8 | 2012 | 179 | |
| 9 | 2017 | 174 | |
| 10 | 1990 | 163 | |
| 11 | 2005 | 158 | |
| 12 | 2008 | 152 | |
| 13 | 2001 | 126 | |
| 14 | 2010 | 115 | |
| 15 | 2005 | 109 | |
| 16 | 2014 | 103 | |
| 17 | 1992 | 100 | |
| 18 | 2019 | 98 | |
| 19 | 2000 | 89 | |
| 20 | 2005 | 81 |
About Michael Small
Michael Small is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Computer Networks and Communications, Artificial Intelligence and Cognitive Neuroscience, having authored 463 papers that have together received 11.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (116 papers), Complex Systems and Time Series Analysis (89 papers), Chaos control and synchronization (81 papers), Opinion Dynamics and Social Influence (80 papers), Nonlinear Dynamics and Pattern Formation (60 papers), Neural dynamics and brain function (43 papers), Time Series Analysis and Forecasting (32 papers) and Neural Networks and Applications (31 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.2k citations), Modeling and Simulation (797 citations), Signal Processing (929 citations), Economics and Econometrics (2.3k citations) and Computer Networks and Communications (1.7k citations). Michael Small has collaborated with scholars based in Australia, China and Hong Kong. Frequent 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. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physica A Statistical Mechanics and its Applications, International Journal of Bifurcation and Chaos, Diabetic Medicine and Physical review. E.
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.