bibliometrix (version 5.1.0)

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, median.window = "centered", graph = T)

Value

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

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).

median.window

is a character string that can be "centered" or "backward". It indicates the type of median to be used. "centered" is the default value and it uses the centered 5-year median (t-2 to t+2) as proposed by Marx et al. (2014). "backward" uses the backward 5-year median (t-4 to t) as proposed by Aria and Cuccurullo (2017).

graph

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

Details

References:

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.

Thor A., Bornmann L., Mark W. & Mutz R.(2018). Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer. Scientometrics, 116:591–608 https://doi.org/10.1007/s11192-018-2733-7

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

if (FALSE) {
data(management, package = "bibliometrixData")
res <- rpys(management, sep = ";", graph = TRUE)
}