Computational Materials Science

366.4k citations
12.7k papers · · active since 1950

Impact in

    • Microstructure and mechanical properties
    • Graphene research and applications
    • MXene and MAX Phase Materials
    • 2D Materials and Applications
    • Machine Learning in Materials Science
    • Boron and Carbon Nanomaterials Research
    • Metallurgy and Material Forming
    • Metal and Thin Film Mechanics

Papers in

    • Microstructure and mechanical properties 1.6k
    • Graphene research and applications 977
    • Boron and Carbon Nanomaterials Research 903
    • Machine Learning in Materials Science 720
    • MXene and MAX Phase Materials 658
    • Metal and Thin Film Mechanics 816
    • Metallurgy and Material Forming 664

Computational Materials Science

12.2k papers receiving 358.2k citations

Peers

Computational Materials Science
Comparison fields: 5 of 230
  • Materials Chemistry 220.3k
  • Mechanics of Materials 81.3k
  • Mechanical Engineering 108.1k
  • Metals and Alloys 6.8k
  • Ceramics and Composites 11.3k
Replace Journal of materials research/Pratt's guide to venture capital sources with:
Journal of materials research/Pratt's guide to venture capital sources United States
Vacuum China
Colloids and Surfaces A Physicochemical and Engineering Aspects China
Materials science forum China
Journal of Physics D Applied Physics China
Materials Letters China
Review of Scientific Instruments United States
Journal of Applied Crystallography United States
Materials Chemistry and Physics China
Thin Solid Films United States
Computational Materials Science relative to Journal of materials research/Pratt's guide to venture capital sources United States Journal of materials research/Pratt's guide to venture capital sources's profile →
Citations per field
00.5×1.5×2.2×
Journal of materials research/Pratt's guide to venture capital sources · 1×
Citations per year

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).

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.

About Computational Materials Science

The 12.7k papers published in Computational Materials Science in the last decades have received a total of 366.4k indexed citations . Papers published in Computational Materials Science usually cover Materials Chemistry (8.4k papers), Mechanics of Materials (3.2k papers), Mechanical Engineering (3.9k papers), Metals and Alloys (261 papers) and Ceramics and Composites (555 papers) specifically the topics of Microstructure and mechanical properties (1.6k papers), Graphene research and applications (977 papers), Boron and Carbon Nanomaterials Research (903 papers), Metal and Thin Film Mechanics (816 papers), Aluminum Alloy Microstructure Properties (750 papers), Machine Learning in Materials Science (720 papers), Metallurgy and Material Forming (664 papers) and MXene and MAX Phase Materials (658 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, Dean Deng, Stefano Curtarolo and Hidekazu Murakawa.

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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