Hirsch's h-index
Given a sequence of n non-negative numbers x=(x_1,…,x_n), where x_i ≥ x_j ≥ 0 for i ≤ j, the h-index (Hirsch, 2005) for x is defined as
H(x)=max{i=1,…,n: x_i ≥ i}
if n ≥ 1 and x_1 ≥ 1, or H(x)=0 otherwise.
index_h(x) index.h(x) # same as index_h(x), deprecated alias
x |
a non-negative numeric vector |
If a non-increasingly sorted vector is given, the function has O(n) run-time.
For historical reasons, this function is also available via an alias,
index.h
[but its usage is deprecated].
The h-index is the same as the discrete Sugeno integral of x
w.r.t. the counting measure (see Torra, Narukawa, 2008).
a single numeric value
Hirsch J.E., An index to quantify individual's scientific research output, Proceedings of the National Academy of Sciences 102(46), 2005, pp. 16569-16572.
Mesiar R., Gagolewski M., H-index and other Sugeno integrals: Some defects and their compensation, IEEE Transactions on Fuzzy Systems 24(6), 2016, pp. 1668-1672. doi:10.1109/TFUZZ.2016.2516579
Gagolewski M., Mesiar R., Monotone measures and universal integrals in a uniform framework for the scientific impact assessment problem, Information Sciences 263, 2014, pp. 166-174. doi:10.1016/j.ins.2013.12.004
Gagolewski M., Data Fusion: Theory, Methods, and Applications, Institute of Computer Science, Polish Academy of Sciences, 2015, 290 pp. isbn:978-83-63159-20-7
Sugeno M., Theory of fuzzy integrals and its applications, PhD thesis, Tokyo Institute of Technology, 1974.
Torra V., Narukawa Y., The h-index and the number of citations: Two fuzzy integrals, IEEE Transactions on Fuzzy Systems 16(3), 2008, pp. 795-797.
Other impact_functions: index_g
,
index_lp
, index_maxprod
,
index_rp
, index_w
,
pord_weakdom
authors <- list( # a list of numeric sequences # (e.g. citation counts of the articles # written by some authors) "A" =c(23,21,4,2,1,0,0), "B" =c(11,5,4,4,3,2,2,2,2,2,1,1,1,0,0,0,0), "C" =c(53,43,32,23,14,13,12,8,4,3,2,1,0) ) index_h(authors$A) sapply(authors, index_h)
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