Irreducible tensorial sets

576 indexed citations
published 1959
Authors
U. FanoGiulio Racah
Journal
CERN Document Server (European Organization for Nuclear Research)

In The Last Decade

doi.org/w67835566 →

Countries where authors are citing Irreducible tensorial sets

Specialization
Citations

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

Fields of papers citing Irreducible tensorial sets

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Irreducible tensorial sets. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Irreducible tensorial sets.

About Irreducible tensorial sets

This paper, published in 1959, received 576 indexed citations . Written by U. Fano and Giulio Racah covering the research area of Civil and Structural Engineering, Computational Theory and Mathematics and Computational Mechanics. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (379 citations), Spectroscopy (187 citations) and Nuclear and High Energy Physics (80 citations). Published in CERN Document Server (European Organization for Nuclear Research).

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/w67835566.

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