Fluctuation and Noise Letters

990 papers and 7.7k indexed citations i.

About

The 990 papers published in Fluctuation and Noise Letters in the last decades have received a total of 7.7k indexed citations. Papers published in Fluctuation and Noise Letters usually cover Statistical and Nonlinear Physics (359 papers), Economics and Econometrics (191 papers) and Atomic and Molecular Physics, and Optics (180 papers) specifically the topics of stochastic dynamics and bifurcation (202 papers), Complex Systems and Time Series Analysis (179 papers) and Nonlinear Dynamics and Pattern Formation (101 papers). The most active scholars publishing in Fluctuation and Noise Letters are Derek Abbott, László B. Kish, Raúl Toral, Bernardo Spagnolo, Hamidreza Namazi, Davide Valenti, Lutz Schimansky-Geier, Janusz Smulko, Gregory P. Harmer and Salim Lahmiri.

In The Last Decade

Fields of papers published in Fluctuation and Noise Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Fluctuation and Noise Letters. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Fluctuation and Noise Letters.

Countries where authors publish in Fluctuation and Noise Letters

Since Specialization
Citations

This map shows the geographic impact of research published in Fluctuation and Noise Letters. 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 papers published in Fluctuation and Noise Letters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fluctuation and Noise Letters more than expected).

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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