arrow
Return

Frequently cocited publications: Features and kinetics

delete2020-08-01
delete1
delete
OA
AI
S
Sitaram Devarakonda
J
James R. Bradley
D
Dmitriy Korobskiy
T
Tandy Warnow
G
George Chacko *
DOI:10.1162/qss_a_00075delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Cocitation measurements can reveal the extent to which a concept representing a novel combination of existing ideas evolves towards a specialty. The strength of cocitation is represented by its frequency, which accumulates over time. Of interest is whether underlying features associated with the strength of cocitation can be identified. We use the proximal citation network for a given pair of articles (x, y) to compute theta, an a priori estimate of the probability of cocitation between x and y, prior to their first cocitation. Thus, low values for theta reflect pairs of articles for which cocitation is presumed less likely. We observe that cocitation frequencies are a composite of power-law and lognormal distributions, and that very high cocitation frequencies are more likely to be composed of pairs with low values of theta, reflecting the impact of a novel combination of ideas. Furthermore, we note that the occurrence of a direct citation between two members of a cocited pair increases with cocitation frequency. Finally, we identify cases of frequently cocited publications that accumulate cocitations after an extended period of dormancy.
Keywords:
bibliometrics
cocitation

Journal

Quantitative Science Studies cover
Quantitative Science Studies
IF:
3.5
Papers:
371
Citations:
1.7K

Organization

U
University of Illinois Urbana-Champaign
Scholars:
2.4W
Papers: 2.0W
Citations: 35
University of Illinois System cover
University of Illinois System
Scholars:
6.8W
Papers: 6.2W
Citations: 644