Superspace or One Thousand and One Lessons in Supersymmetry

403 indexed citations

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About

This paper, published in 1983, received 403 indexed citations. Written by M. Roček and Warren Siegel covering the research area of Atomic and Molecular Physics, and Optics and Political Science and International Relations. It is primarily cited by scholars working on Nuclear and High Energy Physics (372 citations), Astronomy and Astrophysics (190 citations) and Statistical and Nonlinear Physics (189 citations). Published in Medical Entomology and Zoology.

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Countries where authors are citing Superspace or One Thousand and One Lessons in Supersymmetry

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Citations

This map shows the geographic impact of Superspace or One Thousand and One Lessons in Supersymmetry. 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 Superspace or One Thousand and One Lessons in Supersymmetry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Superspace or One Thousand and One Lessons in Supersymmetry more than expected).

Fields of papers citing Superspace or One Thousand and One Lessons in Supersymmetry

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Superspace or One Thousand and One Lessons in Supersymmetry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Superspace or One Thousand and One Lessons in Supersymmetry.

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/w52471312.

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