Countries where authors publish in Multiscale Modeling and Simulation
Since Specialization
Citations
This map shows the geographic impact of research published in Multiscale Modeling and Simulation. 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 Multiscale Modeling and Simulation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multiscale Modeling and Simulation more than expected).
Fields of papers published in Multiscale Modeling and Simulation
This network shows the impact of papers published in Multiscale Modeling and Simulation. 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 Multiscale Modeling and Simulation.
About Multiscale Modeling and Simulation
The 1.1k papers published in Multiscale Modeling and Simulation in the last decades have received a total of 36.2k indexed citations . Papers published in Multiscale Modeling and Simulation usually cover Computational Theory and Mathematics (409 papers), Computational Mechanics (420 papers), Mathematical Physics (135 papers), Statistical and Nonlinear Physics (161 papers) and Mechanics of Materials (290 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (387 papers), Advanced Numerical Methods in Computational Mathematics (274 papers), Composite Material Mechanics (220 papers), Numerical methods in inverse problems (85 papers), Theoretical and Computational Physics (62 papers), Electromagnetic Simulation and Numerical Methods (58 papers), Gene Regulatory Network Analysis (52 papers) and Gas Dynamics and Kinetic Theory (49 papers). The most active scholars publishing in Multiscale Modeling and Simulation are Stanley Osher, Alexander V. Shapeev, Jean‐Michel Morel, Antoni Buades, B. Coll, Valérie R. Wajs, Patrick L. Combettes, Guy Gilboa, Lexing Ying and Laurent Demanet.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.