Meteorological Applications

1.6k papers and 29.9k indexed citations i.

About

The 1.6k papers published in Meteorological Applications in the last decades have received a total of 29.9k indexed citations. Papers published in Meteorological Applications usually cover Global and Planetary Change (1.1k papers), Atmospheric Science (1.1k papers) and Environmental Engineering (383 papers) specifically the topics of Meteorological Phenomena and Simulations (833 papers), Climate variability and models (721 papers) and Precipitation Measurement and Analysis (260 papers). The most active scholars publishing in Meteorological Applications are Mohammad Valipour, Daniel S. Wilks, Brian Golding, Elizabeth E. Ebert, Tim Hewson, John E. Thornes, Lee Chapman, Nigel Roberts, Pak Wai Chan and Chris Kidd.

In The Last Decade

Fields of papers published in Meteorological Applications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Meteorological Applications. 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 Meteorological Applications.

Countries where authors publish in Meteorological Applications

Since Specialization
Citations

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