Computational Materials Science

12.2k papers and 328.7k indexed citations i.

About

The 12.2k papers published in Computational Materials Science in the last decades have received a total of 328.7k indexed citations. Papers published in Computational Materials Science usually cover Materials Chemistry (8.1k papers), Mechanical Engineering (3.8k papers) and Mechanics of Materials (3.1k papers) specifically the topics of Microstructure and mechanical properties (1.5k papers), Graphene research and applications (944 papers) and Boron and Carbon Nanomaterials Research (882 papers). The most active scholars publishing in Computational Materials Science are Georg Kresse, J. Furthmüller, Hannes Jónsson, Andri Arnaldsson, Graeme Henkelman, Anton Kokalj, Andrea Dal Corso, Stefano Curtarolo, Dean Deng and Tomasz Sadowski.

In The Last Decade

Fields of papers published in Computational Materials Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Materials Science. 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 Materials Science.

Countries where authors publish in Computational Materials Science

Since Specialization
Citations

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