Countries where authors publish in Nature Computational Science
Since Specialization
Citations
This map shows the geographic impact of research published in Nature Computational 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 Nature Computational Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nature Computational Science more than expected).
Fields of papers published in Nature Computational Science
This network shows the impact of papers published in Nature Computational 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 Nature Computational Science.
About Nature Computational Science
The 589 papers published in Nature Computational Science in the last decades have received a total of 11.7k indexed citations . Papers published in Nature Computational Science usually cover Biophysics (32 papers), Computational Theory and Mathematics (68 papers), Modeling and Simulation (19 papers), Structural Biology (5 papers) and Acoustics and Ultrasonics (3 papers) specifically the topics of Machine Learning in Materials Science (92 papers), Computational Drug Discovery Methods (59 papers), Single-cell and spatial transcriptomics (51 papers), Protein Structure and Dynamics (39 papers), Gene expression and cancer classification (27 papers), Cell Image Analysis Techniques (26 papers), Bioinformatics and Genomic Networks (23 papers) and RNA and protein synthesis mechanisms (21 papers). The most active scholars publishing in Nature Computational Science are Shyue Ping Ong, Chi Chen, Steven L. Brunton, Ricardo Vinuesa, Robert Vaser, Mile Šikić, Maryam Parsa, Catherine D. Schuman, Prasanna Date and Shruti Kulkarni.
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.