Operators and Matrices

701 papers and 2.6k indexed citations

About

The 701 papers published in Operators and Matrices in the last decades have received a total of 2.6k indexed citations. Papers published in Operators and Matrices usually cover Applied Mathematics (391 papers), Mathematical Physics (317 papers) and Computational Theory and Mathematics (312 papers) specifically the topics of Matrix Theory and Algorithms (261 papers), Holomorphic and Operator Theory (228 papers) and Advanced Topics in Algebra (173 papers). The most active scholars publishing in Operators and Matrices are Donald Sarason, Minghua Lin, Andrea Posilicano, S.W. Drury, Takeaki Yamazaki, Merve İlkhan, Emrah Evren Kara, Vjacheslav Yurko, Mohammad Sababheh and Chi-Kwong Li.

In The Last Decade

Operators and Matrices

512 papers receiving 2.3k citations

Fields of papers published in Operators and Matrices

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Operators and Matrices. 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 Operators and Matrices.

Countries where authors publish in Operators and Matrices

Since Specialization
Citations

This map shows the geographic impact of research published in Operators and Matrices. 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 Operators and Matrices with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Operators and Matrices 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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2026