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 Pseudoperiodic Time Series: Topology... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Michael Small
Comparison fields: 5 of 207
  • Statistical and Nonlinear Physics 4.2k
  • Economics and Econometrics 2.3k
  • Computer Networks and Communications 1.7k
  • Artificial Intelligence 1.3k
  • Cognitive Neuroscience 1.1k
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John C. Doyle United States
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Kazuyuki Aihara Japan View profile →
Citations per field, relative to Michael Small
Michael Small · 1×
Citations per year, relative to Michael Small
Michael Small · 1×

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
# Work Indexed citations
1 0
2 3
3 6
4 7
5 6
6 2
7 18
8 2
9 12
10 2
11 9
12 55
13 20
14 7
15 54
16 33
17 68
18 41
19 29
20 163

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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