bibliometrix (version 3.1.4)

rpys: Reference Publication Year Spectroscopy

Description

rpys computes a Reference Publication Year Spectroscopy for detecting the Historical Roots of Research Fields. The method was introduced by Marx et al., 2014.

Usage

rpys(M, sep = ";", timespan = NULL, graph = T)

Arguments

M

is a data frame obtained by the converting function convert2df. It is a data matrix with cases corresponding to articles and variables to Field Tag in the original ISI or SCOPUS file.

sep

is the cited-references separator character. This character separates cited-references in the CR column of the data frame. The default is sep = ";".

timespan

is a numeric vector c(min year,max year). The default value is NULL (the entire timespan is considered).

graph

is a logical. If TRUE the function plot the spectroscopy otherwise the plot is created but not drawn down.

Value

a list containing the spectroscopy (class ggplot2) and two dataframes with the number of citations per year and the list of the cited references for each year, respectively.

Details

Reference: Marx, W., Bornmann, L., Barth, A., & Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the Association for Information Science and Technology, 65(4), 751-764.

See Also

convert2df to import and convert an ISI or SCOPUS Export file in a data frame.

biblioAnalysis to perform a bibliometric analysis.

biblioNetwork to compute a bibliographic network.

Examples

# NOT RUN {

data(scientometrics, package = "bibliometrixData")
res <- rpys(scientometrics, sep=";", graph = TRUE)

# }