Introduction to the theory of linear nonselfadjoint operators

1.5k indexed citations

Abstract

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About

This paper, published in 1969, received 1.5k indexed citations. Written by M. Г. Крейн and Israel Gohberg covering the research area of Applied Mathematics and Computational Theory and Mathematics. It is primarily cited by scholars working on Mathematical Physics (935 citations), Applied Mathematics (760 citations) and Computational Theory and Mathematics (588 citations). Published in American Mathematical Society eBooks.

In The Last Decade

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Countries where authors are citing Introduction to the theory of linear nonselfadjoint operators

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This map shows the geographic impact of Introduction to the theory of linear nonselfadjoint operators. 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 Introduction to the theory of linear nonselfadjoint operators with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Introduction to the theory of linear nonselfadjoint operators more than expected).

Fields of papers citing Introduction to the theory of linear nonselfadjoint operators

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Introduction to the theory of linear nonselfadjoint operators. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Introduction to the theory of linear nonselfadjoint operators.

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.

This paper is also available at doi.org/w6793102.

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