Journal of materials research/Pratt's guide to venture capital sources · 1×
×0.9216k/232kMC
×0.979k/90kMM
×0.9106k/120kME
×1.97k/3kMA
×0.311k/43kCC
Citations per year
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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
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 358.7k 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 (554 papers) specifically the topics of Microstructure and mechanical properties (1.6k papers), Graphene research and applications (976 papers), Boron and Carbon Nanomaterials Research (902 papers), Metal and Thin Film Mechanics (816 papers), Aluminum Alloy Microstructure Properties (748 papers), Machine Learning in Materials Science (717 papers), Metallurgy and Material Forming (662 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.