Current Opinion in Solid State and Materials Science · 1×
×1.039k/40kMC
×1.6602/378SB
×0.51k/2kMA
×0.76k/9kEOMM
×0.611k/19kME
Citations per year
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Countries where authors publish in npj Computational Materials
Since Specialization
Citations
This map shows the geographic impact of research published in npj Computational Materials. 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 npj Computational Materials with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites npj Computational Materials more than expected).
Fields of papers published in npj Computational Materials
This network shows the impact of papers published in npj Computational Materials. 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 npj Computational Materials.
About npj Computational Materials
The 1.7k papers published in npj Computational Materials in the last decades have received a total of 61.2k indexed citations . Papers published in npj Computational Materials usually cover Structural Biology (50 papers), Materials Chemistry (1.2k papers) and Metals and Alloys (32 papers) specifically the topics of Machine Learning in Materials Science (655 papers), X-ray Diffraction in Crystallography (160 papers), 2D Materials and Applications (156 papers), Electronic and Structural Properties of Oxides (128 papers), Computational Drug Discovery Methods (104 papers), Graphene research and applications (102 papers), Perovskite Materials and Applications (83 papers) and Topological Materials and Phenomena (81 papers). The most active scholars publishing in npj Computational Materials are Miguel A. L. Marques, Silvana Botti, Jonathan Schmidt, Mário R. G. Marques, Rampi Ramprasad, Ankit Agrawal, Alok Choudhary, Rohit Batra, Kamal Choudhary and Christopher Wolverton.
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.