Computational Geosciences

1.4k papers and 29.4k indexed citations i.

About

The 1.4k papers published in Computational Geosciences in the last decades have received a total of 29.4k indexed citations. Papers published in Computational Geosciences usually cover Ocean Engineering (569 papers), Computational Mechanics (421 papers) and Environmental Engineering (403 papers) specifically the topics of Advanced Techniques in Reservoir Management (369 papers), Hydraulic Fracturing and Reservoir Analysis (354 papers) and Advanced Numerical Methods in Computational Mathematics (315 papers). The most active scholars publishing in Computational Geosciences are Mary F. Wheeler, Dean S. Oliver, Louis J. Durlofsky, Ivar Aavatsmark, Yan Chen, Albert C. Reynolds, Todd Arbogast, Knut‐Andreas Lie, Alexandre A. Emerick and Andro Mikelić.

In The Last Decade

Fields of papers published in Computational Geosciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Geosciences. 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 Computational Geosciences.

Countries where authors publish in Computational Geosciences

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Geosciences. 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 Computational Geosciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Geosciences 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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2025