Theory of Group Representations and Applications

734 indexed citations
published 1986
Journal
WORLD SCIENTIFIC eBooks

In The Last Decade

doi.org/10.1142/0352 →

Countries where authors are citing Theory of Group Representations and Applications

Specialization
Citations

This map shows the geographic impact of Theory of Group Representations and Applications. 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 Theory of Group Representations and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theory of Group Representations and Applications more than expected).

Fields of papers citing Theory of Group Representations and Applications

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Theory of Group Representations and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Theory of Group Representations and Applications.

About Theory of Group Representations and Applications

This paper, published in 1986, received 734 indexed citations . Written by A. O. Barut and R. Rączka covering the research area of Mathematical Physics. It is primarily cited by scholars working on Statistical and Nonlinear Physics (291 citations), Atomic and Molecular Physics, and Optics (259 citations) and Nuclear and High Energy Physics (193 citations). Published in WORLD SCIENTIFIC eBooks.

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/10.1142/0352.

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