Linear and Multilinear Algebra

3.9k papers and 30.6k indexed citations i.

About

The 3.9k papers published in Linear and Multilinear Algebra in the last decades have received a total of 30.6k indexed citations. Papers published in Linear and Multilinear Algebra usually cover Computational Theory and Mathematics (2.5k papers), Geometry and Topology (1.4k papers) and Algebra and Number Theory (1.4k papers) specifically the topics of Matrix Theory and Algorithms (2.0k papers), Advanced Topics in Algebra (1.3k papers) and graph theory and CDMA systems (676 papers). The most active scholars publishing in Linear and Multilinear Algebra are Charles R. Johnson, Chi-Kwong Li, Russell Merris, George P. H. Styan, Henryk Minc, Yongge Tian, Jǐŕı Rohn, Yimin Wei, Marvin Marcus and Qing‐Wen Wang.

In The Last Decade

Fields of papers published in Linear and Multilinear Algebra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Linear and Multilinear Algebra. 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 Linear and Multilinear Algebra.

Countries where authors publish in Linear and Multilinear Algebra

Since Specialization
Citations

This map shows the geographic impact of research published in Linear and Multilinear Algebra. 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 Linear and Multilinear Algebra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linear and Multilinear Algebra 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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2025