The use of bibliometrics for ranking the all‐time greatest music artists

Timothy L. Urban

Journal of the Association for Information Science & Technology, 2025, vol. 76, issue 6, 843-847

Abstract: This brief communication presents a novel adaptation of common bibliometric measures to provide a quantitative assessment of an artist's music catalog that incorporates both impact and productivity. Data from Billboard's weekly Hot 100™ music charts are used to rank the all‐time greatest artists. Since the sorted data are increasing in value—that is, a number 1 hit is best—a transformation is applied to provide a convex, monotonically decreasing curve. Furthermore, since conventional bibliometrics result in several artists with identical measures, metrics inspired by the multidimensional h‐ and g‐indices are used to rank the artists. We find that this approach provides a simple, yet unbiased, approach for ranking the all‐time greatest music artists.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/asi.24976

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jinfst:v:76:y:2025:i:6:p:843-847

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=2330-1635

Access Statistics for this article

More articles in Journal of the Association for Information Science & Technology from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().