Computational Materials Science

385k citations
12.9k papers · · active since 1992

Impact in

    • Machine Learning in Materials Science
    • Microstructure and mechanical properties
    • 2D Materials and Applications
    • Graphene research and applications
    • Fusion materials and technologies
    • Nonlocal and gradient elasticity in micro/nano structures
    • Composite Material Mechanics

Papers in

    • Microstructure and mechanical properties 1.5k
    • Machine Learning in Materials Science 1.3k
    • Solidification and crystal growth phenomena 706
    • Fusion materials and technologies 684
    • 2D Materials and Applications 462
    • Boron and Carbon Nanomaterials Research 435
    • Composite Material Mechanics 629

Computational Materials Science

12.5k papers receiving 377.4k citations

Peers

Computational Materials Science
Comparison fields: 5 of 216
  • Materials Chemistry 168.9k
  • Mechanics of Materials 51.9k
  • Mechanical Engineering 75.7k
  • Metals and Alloys 3.2k
  • Electronic, Optical and Magnetic Materials 19.7k
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
Thin Solid Films United States
Journal of Vacuum Science & Technology A Vacuum Surfaces and Films United States
Polymer China
Materials Letters China
Journal of Physics D Applied Physics China
Materials Chemistry and Physics China
Journal of Physics and Chemistry of Solids United States
Surface and Coatings Technology China
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 12.9k papers published in Computational Materials Science in the last decades have received a total of 385k indexed citations . Papers published in Computational Materials Science usually cover Materials Chemistry (7k papers), Mechanics of Materials (2k papers), Mechanical Engineering (2.6k papers), Metals and Alloys (137 papers) and Atomic and Molecular Physics, and Optics (1.5k papers) specifically the topics of Microstructure and mechanical properties (1.5k papers), Machine Learning in Materials Science (1.3k papers), Advanced Chemical Physics Studies (899 papers), Solidification and crystal growth phenomena (706 papers), Fusion materials and technologies (684 papers), Composite Material Mechanics (629 papers), 2D Materials and Applications (462 papers) and Boron and Carbon Nanomaterials Research (435 papers). The most active scholars publishing in Computational Materials Science are Georg Kresse, Jürgen Furthmüller, Hannes Jónsson, Graeme Henkelman, Andri Arnaldsson, Anton Kokalj, Andrea Dal Corso, Stefano Curtarolo A, Dean Deng and Wahyu Setyawan.

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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