Measures scholarly impact using modern citation-based indices.
Metrics(citation.counts, publishing.age = 0, display = TRUE)Number of times each aritcle has been cited. (vector)
Age of the first article author has published. (scalar)
Whether to display metrics (if TRUE, the default) or direct output to a file (if FALSE).
h index, the largest number h such that at least h articles are cited h times each (Hirsch, 2005).
Tapered h index, credit decreases for citations farther from the origin (Anderson, Hankin, & Killworth, 2008).
f index, largest value f such that the harmonic mean fo rthe f most highly cited articles is at least f (Tol, 2009).
g index, larfest value g such that th emean citations for the g most highly cited articles is at least g (Egghe, 2006).
hg index, geometric mean of h and g (Alonso, Cabrerizo, Herrera-Viedma, & Herrera, 2010).
a index, mean citations for the papers in Hirsch core (Jin, 2006).
m index, median citations for papers in Hirsch core (Bornmann, Mutz, Daniel, 2008).
r index, square root of citations for papers in Hirsch core (Jin, Liang, Rousseau, Egghe, 2007).
h index weighted by citation impact (Egghe & Rousseau, 2008).
q2 index, geometric mean of h and m indexes (Cabrerizo, Alonso, Herrera-Videma, & Herrera, 2010).
e index, excess citations for papers in Hirsch core (Zhang, 2009).
Maximum product index, maximum product of article's rank and citation count (Kosmulski, 2007).
Rescales maximum product index from an area to a distance measure.
h2 index, analogous to h index with more stringent criterion (Kosmulski, 2006).
m quotient, controlling h index for publishing age (Hirsch, 2005).
Controlling tapered h index for publishing age.
Ruscio et al. (2012)
# NOT RUN {
# Running the Metrics program with illustrative data from Ruscio et al. (2012)
x <- c(24, 18, 12, 8, 6, 5, 5, 4, 4, 3, 2, 2, 1, 1, 1, 0, 0, 0)
Metrics(x)
# }
Run the code above in your browser using DataLab