Cited by 80scientometrics and bibliometrics researchComplex Network Analysis TechniquesWeb visibility and informetrics

Predicting future citation behavior

Burrell, Quentin L.·2003·Journal of the American Society for Information Science and Technology

Abstract

In this article we further develop the theory for a stochastic model for the citation process in the presence of obsolescence to predict the future citation pattern of individual papers in a collection. More precisely, we investigate the conditional distribution—and its mean—of the number of citations to a paper after time t, given the number of citations it has received up to time t. In an important parametric case it is shown that the expected number of future citations is a linear function of the current number, this being interpretable as an example of a success‐breeds‐success phenomenon.

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Crossref · 10.1002/asi.10207

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Authors
Burrell, Q. L.
Corresponding author
Burrell, Quentin L.
Venue
Journal of the American Society for Information Science and Technology
Publisher
Wiley
Published
2003-01-30
Volume
54
Issue
5
Pages
372-378
ISSN
  • 1532-2882 (ISSN-L)
  • 1532-2890
OpenAlex
W1991901918
Cited by
80
References
0
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 5 · 2020: 3 · 2019: 4 · 2018: 5 · 2017: 4 · 2016: 4 · 2015: 5 · 2014: 6 · 2013: 8 · 2012: 5
FWCI
1.83
Type
journal article
Language
en
Open access
closed
Locations
Journal of the American Society for Information Science and Technology (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
Keywords
citation behavior, obsolescence, citation growth, bibliometric analysis

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