Communications in Mathematical Sciences

1.2k papers and 17.7k indexed citations
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About

The 1.2k papers published in Communications in Mathematical Sciences in the last decades have received a total of 17.7k indexed citations. Papers published in Communications in Mathematical Sciences usually cover Applied Mathematics (417 papers), Computational Mechanics (376 papers) and Mathematical Physics (266 papers) specifically the topics of Navier-Stokes equation solutions (255 papers), Advanced Mathematical Modeling in Engineering (183 papers) and Computational Fluid Dynamics and Aerodynamics (162 papers). The most active scholars publishing in Communications in Mathematical Sciences are E Weinan, Björn Engquist, Seung‐Yeal Ha, Andrew J. Majda, Giuseppe Toscani, Jian‐Guo Liu, Eric Vanden‐Eijnden, Stanley Osher, Alexander Kurganov and Liqun Qi.

In The Last Decade

Communications in Mathematical Sciences

1.1k papers receiving 15.9k citations

Fields of papers published in Communications in Mathematical Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Communications in Mathematical Sciences. 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 Communications in Mathematical Sciences.

Countries where authors publish in Communications in Mathematical Sciences

Since Specialization
Citations

This map shows the geographic impact of research published in Communications in Mathematical Sciences. 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 Communications in Mathematical Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Communications in Mathematical Sciences more than expected).

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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