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Demystifying Algorithmic Complexities and Geometric Review of the ‘H’-Index
Description
This podcast discusses a research paper that explores the h-index, a metric used to assess the productivity and impact of a researcher's publications. It examines the algorithmic complexity of calculating the h-index using algebraic methods and proposes a simpler geometric approach. The authors argue that the Euclidean geometric method provides a more visually intuitive and comprehensive way to determine the h-index. Finally, they present a series of postulates based on their case studies to guide the geometric calculation of the h-index.
Reference
Ghosh, Kaushik and Mukhopadhyay, Mayukh, Demystifying Algorithmic Complexities and Geometric Review of the ‘H’-Index (September 29, 2021). Five Shades of Emerging Business Cases, Eliva Press (Nov 2021), ISBN: 978-1-63648-395-5 , Available at SSRN: https://ssrn.com/abstract=3933175 or http://dx.doi.org/10.2139/ssrn.3933175