Work

A method for predicting citations to the scientific publications of individual researchers

Year: 2014

Type: conference-paper

Abstract: Any researcher's publications at any time can be ordered from the highest cited to the lowest cited, yielding a citation curve. We describe a novel method for predicting citation curves of researchers in the future. The method depends on treating the citation curves of researchers for various years as one single spatio-temporal function from rank and time to citations. For each researcher, we derive an estimate of this spatio-temporal function that can be used to predict the total citations of individual publications at any given rank at any time. Experiments show that this method can accurately predict entire citation curves and derived measures, such as, the total citations to all publications and the h-index of the researchers.

Source: International Database Engineering and Applications Symposium (IDEAS)

DOI: 10.1145/2628194.2628210

Author: Peter Z. Revesz

Institutions: University of Nebraska–Lincoln, United States Air Force Office of Scientific Research

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funder: Australian Government

OpenAlex ID: W2149732716

FWCI: 8.676

Cites: 14

Cited by: 15

Related to: 10