Shawn D. Pethel

773 citations
34 papers · 570 indexed · h-index 12
Topics
Chaos control and synchronization (22 papers)Nonlinear Dynamics and Pattern Formation (12 papers)Quantum chaos and dynamical systems (9 papers)
Partner nations
United States

In The Last Decade

Shawn D. Pethel

31 papers receiving 540 citations

Peers

Shawn D. Pethel
Comparison fields: 5 of 72
  • Statistical and Nonlinear Physics 388
  • Computer Networks and Communications 258
  • Artificial Intelligence 81
  • Cognitive Neuroscience 77
  • Atomic and Molecular Physics, and Optics 62
Replace Ned J. Corron with:
Ned J. Corron United States
K.E. Chlouverakis Greece
Jonathan N. Blakely United States
V. S. Udaltsov France
Gregory D. VanWiggeren United States
Jean-Pierre Goedgebuer France
M. M. Sushchik United States
Damien Rontani France
Hugo L. D. de S. Cavalcante Brazil
J. M. Liu United States
Shawn D. Pethel relative to Ned J. Corron United States Ned J. Corron's profile →
Citations per field
00.5×1.5×
Ned J. Corron · 1×
Citations per year

Countries citing papers authored by Shawn D. Pethel

Since Specialization
Citations

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

Fields of papers citing papers by Shawn D. Pethel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn D. Pethel. 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 Shawn D. Pethel. The network helps show where Shawn D. Pethel may publish in the future.

Co-authorship network of co-authors of Shawn D. Pethel

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn D. Pethel. A scholar is included among the top collaborators of Shawn D. Pethel 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 Shawn D. Pethel. Shawn D. Pethel 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
#WorkIndexed citations
1 0
2 3
3 11
4 17
5 41
6 1
7 8
8 4
9 16
10 37
11 2
12 1
13 11
14 11
15 39
16 1
17 0
18 22
19 31
20 4

About Shawn D. Pethel

Shawn D. Pethel is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Mathematical Physics, having authored 34 papers that have together received 570 indexed citations. Recurring topics across this work include Chaos control and synchronization (22 papers), Nonlinear Dynamics and Pattern Formation (12 papers) and Quantum chaos and dynamical systems (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (388 citations), Computer Networks and Communications (258 citations) and Acoustics and Ultrasonics (5 citations). Shawn D. Pethel has collaborated with scholars based in United States. Frequent co-authors include Ned J. Corron, Krishna Myneni, Jonathan N. Blakely, Scott Hayes, Erik M. Bollt, C. M. Bowden, C. C. Sung, A. B. Ritchie, A. T. Rosenberger and John C. Englund. Their work appears in journals such as Physical Review Letters, Applied Physics Letters and Physical Review A.

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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