Algebraic methods in statistical mechanics and quantum field theory
- Authors
- Gérard G. Emch
- Journal
- CERN Bulletin
In The Last Decade
doi.org/w65002378 →Countries where authors are citing Algebraic methods in statistical mechanics and quantum field theory
This map shows the geographic impact of Algebraic methods in statistical mechanics and quantum field theory. 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 Algebraic methods in statistical mechanics and quantum field theory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Algebraic methods in statistical mechanics and quantum field theory more than expected).
Fields of papers citing Algebraic methods in statistical mechanics and quantum field theory
This network shows the impact of Algebraic methods in statistical mechanics and quantum field theory. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Algebraic methods in statistical mechanics and quantum field theory.
About Algebraic methods in statistical mechanics and quantum field theory
This paper, published in 1972, received 395 indexed citations . Written by Gérard G. Emch. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (263 citations), Statistical and Nonlinear Physics (151 citations) and Mathematical Physics (108 citations). Published in CERN Bulletin.
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/w65002378.