Generalized Hirsch h-index for disclosing latent facts in citation networks

By Antonis Sidiropoulos, Dimitrios Katsaros, Yannis Manolopoulos. Scientometrics, 2007

411 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5e54cb984eac5e3b20b0a49adcacf12ff344edef

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Statistical and Nonlinear Physics

In Statistics and Probability

Citations in the corpus

Which h-index? — A comparison of WoS, Scopus and Google Scholar (2008, result): “These findings are supported by the results of Vaughan and Shaw (2006) for Information Science in general.”
Library 2.0: A guide to participatory library service (2008, neutral): “active researchers, we did not compute the contemporary h index as proposed by Sidiropoulos, Katsaros, and Manolopoulos (2007) .”
An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship (2009, background): “Various modifications of the h-index have been proposed to take into account some of its perceived shortcomings (Egghe 2006; Van Raan 2006; Komulski 2006; Jin et al. 2007; Jin 2007; Sidiropoulos et al. 2007; Bornmann et al. 2008; Van Eck and Waltman 2008; Antonakis and Lalive 2008; Ruane and Tol 2”
Impact of license choice on Open Source Software development activity (2009, background): “The h index was really path-breaking, and inspired several research efforts to cureitsvariousdeficiencies(e.g.,itsaging-ignorantbehavior) ( Sidiropoulos, Katsaros, & Manolopoulos, 2007 ).”
What do we know about the h index? (2007, methodology): “A scientist’s h index will never decrease ( Sidiropoulos, Katsaros, & Manolopoulos, 2006 ); an increase is to be expected as new (high-impact) papers are published, as “sleeping beauties” (van Raan, 2004b) come to life, and as the scientist’s papers attract citations (Cronin & Meho, 2006; Hirsch, 20”
RankClus: integrating clustering with ranking for heterogeneous information network analysis (2009, background): “J. E. Hirsch [8] proposed h index originally in the area of physics for characterizing the scientiflc output of a researcher, which is deflned as the number of papers with citation number higher or equal to h. Extensions work [ 16 ] shows that it also can work well in computer science area.”
Some bibliometric procedures for analyzing and evaluating research fields (2017, neutral): “Nowadays, this evaluation process is performed by means of the computation of bibliometric measures due to the beneﬁts of obtaining an unbiased and fair criterion [58].”