Computational Mechanics

1.4M papers and 26.1M indexed citations i.

About

1.4M papers covering Computational Mechanics have received a total of 26.1M indexed citations since 1950. Papers on subfields are most often about the specific topic of Fluid Dynamics and Turbulent Flows, Ion-surface interactions and analysis and Computational Fluid Dynamics and Aerodynamics and also cover the fields of Mechanical Engineering, Aerospace Engineering and Biomedical Engineering. Papers citing papers on subfields are usually about Biomedical Engineering, Mechanical Engineering and Aerospace Engineering. Some of the most active scholars covering Computational Mechanics are David L. Donoho, Emmanuel J. Candès, Chi‐Wang Shu, Stanley Osher, Shiing-Shen Chern, Florian Menter, Thomas J.R. Hughes, J. J. Monaghan, Parviz Moin and Tasawar Hayat.

In The Last Decade

Fields of papers citing papers about Computational Mechanics

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Computational Mechanics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers covering Computational Mechanics.

Countries where authors publish papers about Computational Mechanics

Since Specialization

Citations

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

Explore fields with similar magnitude of impact

Breakdown of academic impact, for papers covering General Health Professions Breakdown of academic impact, for papers covering Computer Vision and Pattern Recognition Breakdown of academic impact, for papers covering Rheumatology Breakdown of academic impact, for papers covering Mechanics of Materials Breakdown of academic impact, for papers covering Computational Theory and Mathematics Breakdown of academic impact, for papers covering Artificial Intelligence Breakdown of academic impact, for papers covering Pediatrics, Perinatology and Child Health