Gregory P. King

45 papers receiving 2.5k citations

Gregory P. King's Hit Papers

Extracting qualitative dynamics from experimental data 1986 · 1.7k citations
1.7k0+13+26Years since publication50010001.5k

Peers

Gregory P. King
Comparison fields: 5 of 133
  • Statistical and Nonlinear Physics 794
  • Applied Mathematics 419
  • Oceanography 345
  • Signal Processing 244
  • Computer Networks and Communications 488
Replace R. S. Bucy with:
R. S. Bucy United States
Georg A. Gottwald Australia
John W. Van Ness United States
David B. Preston
Irene M. Moroz United Kingdom
Robert J. Adler Israel
Emmanuel Bacry France
Jean–François Muzy France
Hüseyin Koçak United States
A. Großmann France
Gregory P. King relative to R. S. Bucy United States R. S. Bucy's profile →
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Countries citing papers authored by Gregory P. King

Since Specialization
Citations

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

Fields of papers citing papers by Gregory P. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory P. King. 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 Gregory P. King. The network helps show where Gregory P. King may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory P. King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregory P. King Line = papers co-authored together Gregory P. King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Extracting qualitative dynamics from experimental data
Hit paper breakdown →
19861695
2 1987119
3 198494
4 200592
5 199089
6 201876
7 199257
8 198737
9 199235
10 198333
11 199232
12 199730
13 199226
14 201524
15 200122
16 199521
17 201420
18 198019
19 200118
20 202217

About Gregory P. King

Gregory P. King is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Oceanography, Computer Networks and Communications and Atmospheric Science, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (12 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Quantum chaos and dynamical systems (10 papers), Oceanographic and Atmospheric Processes (8 papers), Ocean Waves and Remote Sensing (7 papers), Tropical and Extratropical Cyclones Research (7 papers), Climate variability and models (6 papers) and Complex Systems and Time Series Analysis (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (794 citations), Applied Mathematics (419 citations), Oceanography (345 citations), Signal Processing (244 citations) and Computer Networks and Communications (488 citations). Gregory P. King has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include D.S. Broomhead, Peter Ashwin, Richard D. Jones, Harry L. Swinney, Julian M. Allwood, Joost R. Duflou, James W. Swift, Ad Stoffelen, Philip Marcus and Weizhi Li. Their work appears in journals such as Physica D Nonlinear Phenomena, Journal of Geophysical Research Oceans, Physics of Fluids, Journal of Fluid Mechanics and Journal of Fluids and Structures.

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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