Nonlinear processes in geophysics

1.5k papers and 30.6k indexed citations i.

About

The 1.5k papers published in Nonlinear processes in geophysics in the last decades have received a total of 30.6k indexed citations. Papers published in Nonlinear processes in geophysics usually cover Atmospheric Science (494 papers), Global and Planetary Change (485 papers) and Oceanography (325 papers) specifically the topics of Climate variability and models (382 papers), Meteorological Phenomena and Simulations (313 papers) and Oceanographic and Atmospheric Processes (243 papers). The most active scholars publishing in Nonlinear processes in geophysics are John C. Moore, Aslak Grinsted, Svetlana Jevrejeva, Jürgen Kurths, Douglas Maraun, Michael Ghil, Marc Bocquet, G. S. Lakhina, Norbert Marwan and Stephen Wiggins.

In The Last Decade

Fields of papers published in Nonlinear processes in geophysics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Nonlinear processes in geophysics. 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 Nonlinear processes in geophysics.

Countries where authors publish in Nonlinear processes in geophysics

Since Specialization
Citations

This map shows the geographic impact of research published in Nonlinear processes in geophysics. 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 Nonlinear processes in geophysics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nonlinear processes in geophysics 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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