Chimera and phase-cluster states in populations of coupled chemical oscillators

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This paper, published in 1950, received 519 indexed citations. Written by Mark R. Tinsley, Simbarashe Nkomo and Kenneth Showalter covering the research area of Cognitive Neuroscience, Biomedical Engineering and Computer Networks and Communications. It is primarily cited by scholars working on Computer Networks and Communications (496 citations), Biomedical Engineering (241 citations) and Statistical and Nonlinear Physics (196 citations). Published in Nature Physics.

Countries where authors are citing Chimera and phase-cluster states in populations of coupled chemical oscillators

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This map shows the geographic impact of Chimera and phase-cluster states in populations of coupled chemical oscillators. 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 Chimera and phase-cluster states in populations of coupled chemical oscillators with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chimera and phase-cluster states in populations of coupled chemical oscillators more than expected).

Fields of papers citing Chimera and phase-cluster states in populations of coupled chemical oscillators

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Chimera and phase-cluster states in populations of coupled chemical oscillators. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Chimera and phase-cluster states in populations of coupled chemical oscillators.

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.

This paper is also available at doi.org/10.1038/nphys2371.

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