Mathematical models and finite elements for reservoir simulation

408 indexed citations
published 1986

Impact in

Classified as

Authors
Guy Chavent

In The Last Decade

doi.org/w67061892 →

Countries where authors are citing Mathematical models and finite elements for reservoir simulation

Specialization
Citations

This map shows the geographic impact of Mathematical models and finite elements for reservoir simulation. 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 Mathematical models and finite elements for reservoir simulation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathematical models and finite elements for reservoir simulation more than expected).

Fields of papers citing Mathematical models and finite elements for reservoir simulation

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Mathematical models and finite elements for reservoir simulation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mathematical models and finite elements for reservoir simulation.

About Mathematical models and finite elements for reservoir simulation

This paper, published in 1986, received 408 indexed citations . Written by Guy Chavent covering the research area of Ocean Engineering and Mechanical Engineering. It is primarily cited by scholars working on Computational Mechanics (273 citations), Computational Theory and Mathematics (170 citations), Mechanical Engineering (84 citations), Environmental Engineering (79 citations) and Ocean Engineering (79 citations).

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.

This paper is also available at doi.org/w67061892.

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