John J. Sidorowich

4.1k citations
13 papers · 3.1k indexed · 2 hit papers · h-index 7
Topics
Chaos control and synchronization (5 papers)Optical Coatings and Gratings (3 papers)Complex Systems and Time Series Analysis (3 papers)
Partner nations
United StatesSouth Korea

In The Last Decade

John J. Sidorowich

13 papers receiving 2.8k citations

Hit Papers

Predicting chaotic time series1987202620002013198719934008001.2k

Peers

John J. Sidorowich
Comparison fields: 5 of 135
  • Statistical and Nonlinear Physics 1.5k
  • Economics and Econometrics 1.1k
  • Artificial Intelligence 779
  • Computer Networks and Communications 668
  • Signal Processing 365
Replace Matthew B. Kennel with:
Matthew B. Kennel United States
Andrew M. Fraser United States
Martin Casdagli United States
Sylvie Oliffson Kamphorst Brazil
Bernd Pompe Germany
Reggie Brown United States
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Jianbo Gao United States
Kevin Judd Australia
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John J. Sidorowich relative to Matthew B. Kennel United States Matthew B. Kennel's profile →
Citations per field
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Citations per year

Countries citing papers authored by John J. Sidorowich

Since Specialization
Citations

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

Fields of papers citing papers by John J. Sidorowich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Sidorowich. 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 John J. Sidorowich. The network helps show where John J. Sidorowich may publish in the future.

Co-authorship network of co-authors of John J. Sidorowich

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Sidorowich. A scholar is included among the top collaborators of John J. Sidorowich 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 John J. Sidorowich. John J. Sidorowich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 4
3 6
4 10
5 54
6
The analysis of observed chaotic data in physical systemsbreakdown →
1365
7 7
8 14
9 164
10
Predicting chaotic time seriesbreakdown →
1435
11 6
12 1
13 4

About John J. Sidorowich

John J. Sidorowich is a scholar working on Surfaces, Coatings and Films, Statistical and Nonlinear Physics and Mathematical Physics, having authored 13 papers that have together received 3.1k indexed citations. Recurring topics across this work include Chaos control and synchronization (5 papers), Optical Coatings and Gratings (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Economics and Econometrics (1.1k citations) and Signal Processing (365 citations). John J. Sidorowich has collaborated with scholars based in United States and South Korea. Frequent co-authors include J. Doyne Farmer, Henry D. I. Abarbanel, Lev S. Tsimring, Reggie Brown, Louis M. Pecora, Willard H. Wells, Jon Opsal, J. M. Leng, Richard K. Belew and J.T. Moon. Their work appears in journals such as Nature, Physical Review Letters and Reviews of Modern Physics.

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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