Nonextensive Entropy: Interdisciplinary Applications
Impact in
Classified as
- Journal
- CaltechAUTHORS (California Institute of Technology)
In The Last Decade
doi.org/w82120905 →Countries where authors are citing Nonextensive Entropy: Interdisciplinary Applications
This map shows the geographic impact of Nonextensive Entropy: Interdisciplinary 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 Nonextensive Entropy: Interdisciplinary Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nonextensive Entropy: Interdisciplinary Applications more than expected).
Fields of papers citing Nonextensive Entropy: Interdisciplinary Applications
This network shows the impact of Nonextensive Entropy: Interdisciplinary Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Nonextensive Entropy: Interdisciplinary Applications.
About Nonextensive Entropy: Interdisciplinary Applications
This paper, published in 2004, received 630 indexed citations . Written by Murray Gell‐Mann and Constantino Tsallis covering the research area of Statistical and Nonlinear Physics, Economics and Econometrics and Condensed Matter Physics. It is primarily cited by scholars working on Statistical and Nonlinear Physics (481 citations), Economics and Econometrics (294 citations), Modeling and Simulation (76 citations), Finance (66 citations) and Atomic and Molecular Physics, and Optics (64 citations). Published in CaltechAUTHORS (California Institute of Technology).
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/w82120905.