MICHAEL P. 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 120
- Chaos control and synchronization 86
- Opinion Dynamics and Social Influence 82
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- Complex Systems and Time Series Analysis 92
- Co-authors
- J. Zhang (2 shared papers)Chi Kong Tse (33 shared papers)Xiao-Ke Xu (21 shared papers)Xinchu Fu (27 shared papers)Jürgen Kurths (8 shared papers)Jie Zhang (3 shared papers)Kevin T. Judd (17 shared papers)David M. Walker (26 shared papers)
In The Last Decade
MICHAEL P. SMALL
465 papers receiving 11.7k citations
MICHAEL P. SMALL's Hit Papers
Peers
Comparison fields: 5 of 208
- Statistical and Nonlinear Physics 4.5k
- Modeling and Simulation 794
- Economics and Econometrics 2.4k
- Signal Processing 1.0k
- Computer Networks and Communications 1.9k
Countries citing papers authored by MICHAEL P. SMALL
This map shows the geographic impact of MICHAEL P. 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 P. 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 P. SMALL more than expected).
Fields of papers citing papers by MICHAEL P. SMALL
This network shows the impact of papers produced by MICHAEL P. 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 P. SMALL. The network helps show where MICHAEL P. SMALL may publish in the future.
Co-authors
The 25 scholars most cited alongside MICHAEL P. 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 496 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 | 637 |
| 2 | 2008 | 405 | |
| 3 | RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS Hit paper breakdown → | 2011 | 330 |
| 4 | 2016 | 249 | |
| 5 | 1975 | 205 | |
| 6 | 1974 | 196 | |
| 7 | 2008 | 195 | |
| 8 | 2017 | 194 | |
| 9 | 2012 | 188 | |
| 10 | 2019 | 177 | |
| 11 | 1990 | 170 | |
| 12 | 2005 | 169 | |
| 13 | 2008 | 164 | |
| 14 | 2001 | 136 | |
| 15 | The HOPE (Heart Outcomes Prevention Evaluation) Study: The design of a large, simple randomized trial of an angiotensin converting enzyme inhibitor (ramipril) and vitamin E in patients at high risk of cardiovascular events | 1996 | 135 |
| 16 | 2010 | 118 | |
| 17 | 2005 | 114 | |
| 18 | 2014 | 108 | |
| 19 | 2019 | 106 | |
| 20 | 1992 | 105 |
About MICHAEL P. SMALL
MICHAEL P. SMALL is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Computer Networks and Communications, Endocrinology, Diabetes and Metabolism and Signal Processing, having authored 496 papers that have together received 12.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (120 papers), Complex Systems and Time Series Analysis (92 papers), Chaos control and synchronization (86 papers), Opinion Dynamics and Social Influence (82 papers), Nonlinear Dynamics and Pattern Formation (63 papers), Neural dynamics and brain function (45 papers), Neural Networks and Applications (34 papers) and Time Series Analysis and Forecasting (32 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.5k citations), Modeling and Simulation (794 citations), Economics and Econometrics (2.4k citations), Signal Processing (1.0k citations) and Computer Networks and Communications (1.9k citations). MICHAEL P. SMALL has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include J. Zhang, Chi Kong Tse, Xiao-Ke Xu, Xinchu Fu, Jürgen Kurths, Jie Zhang, Kevin T. 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, Physical review. E and Diabetic Medicine.
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.