Geoscientific model development

3.3k papers and 105.5k indexed citations i.

About

The 3.3k papers published in Geoscientific model development in the last decades have received a total of 105.5k indexed citations. Papers published in Geoscientific model development usually cover Atmospheric Science (2.2k papers), Global and Planetary Change (2.1k papers) and Oceanography (490 papers) specifically the topics of Climate variability and models (1.1k papers), Meteorological Phenomena and Simulations (882 papers) and Atmospheric chemistry and aerosols (775 papers). The most active scholars publishing in Geoscientific model development are Tianfeng Chai, Roland R. Draxler, Veronika Eyring, Gerald A. Meehl, Björn Stevens, C. A. Senior, Karl E. Taylor, Sandrine Bony, Ronald J. Stouffer and L. K. Emmons.

In The Last Decade

Fields of papers published in Geoscientific model development

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Geoscientific model development. 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 Geoscientific model development.

Countries where authors publish in Geoscientific model development

Since Specialization
Citations

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