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The h-index has been shown to have predictive power. Here I report results of an empirical study showing that the increase of the h-index with time often depends for a long time on citations to rather old publications. This inert behavior…

Physics and Society · Physics 2013-02-06 Michael Schreiber

I describe a simple modification which can be applied to any citation count-based index (e.g. Hirsch's h-index) quantifying a researcher's publication output. The key idea behind the proposed approach is that the merit for the citations of…

Digital Libraries · Computer Science 2014-08-19 Ognjen Arandjelovic

I introduce a decomposition of the h-index, which is nowadays the leading criterion to assess the relevance of a scientist in his/her research field. According to the proposed decomposition, the h-index is the product of two indicators, the…

Digital Libraries · Computer Science 2012-03-12 Francesco Bartolucci

Problems for evaluation and impact of published scientific works and their authors are discussed. The role of citations in this process is pointed out. Different bibliometric indicators are reviewed in this connection and ways for…

Physics and Society · Physics 2014-05-21 Bozhidar Z. Iliev

A new percentile-based rating scale P100 has recently been proposed to describe the citation impact in terms of the distribution of the unique citation values. Here I investigate P100 for 5 example datasets, two simple fictitious models and…

Digital Libraries · Computer Science 2014-08-06 Michael Schreiber

Alternative metrics (aka altmetrics) are gaining increasing interest in the scientometrics community as they can capture both the volume and quality of attention that a research work receives online. Nevertheless, there is limited knowledge…

Digital Libraries · Computer Science 2019-01-01 Andrea Giovanni Nuzzolese , Paolo Ciancarini , Aldo Gangemi , Silvio Peroni , Francesco Poggi , Valentina Presutti

We study the distributions of citations received by a single publication within several disciplines, spanning broad areas of science. We show that the probability that an article is cited $c$ times has large variations between different…

Physics and Society · Physics 2008-11-04 Filippo Radicchi , Santo Fortunato , Claudio Castellano

The characteristics of the $h$-index in the field of condensed matter physics are studied using high-quality data from ResearcherID. The results are examined in terms of theoretical descriptions of the $h$-index' overall dependence on a…

Digital Libraries · Computer Science 2019-02-19 Anna Tietze , Philip Hofmann

One interesting phenomenon that emerges from the typical structure of social networks is the friendship paradox. It states that your friends have on average more friends than you do. Recent efforts have explored variations of it, with…

Social and Information Networks · Computer Science 2015-10-20 Fabrício Benevenuto , Alberto H. F. Laender , Bruno L. Alves

Citation impact indicators nowadays play an important role in research evaluation, and consequently these indicators have received a lot of attention in the bibliometric and scientometric literature. This paper provides an in-depth review…

Digital Libraries · Computer Science 2016-02-26 Ludo Waltman

We submit newly developed citation impact indicators based not on arithmetic averages of citations but on percentile ranks. Citation distributions are-as a rule-highly skewed and should not be arithmetically averaged. With percentile ranks,…

Digital Libraries · Computer Science 2011-06-21 Loet Leydesdorff , Lutz Bornmann , Rüdiger Mutz , Tobias Opthof

The h index is a widely recognized metric for assessing the research impact of scholars, defined as the maximum value h such that the scholar has published h papers each cited at least h times. While it has proven useful measuring…

Heretofore, the only way to evaluate an author has been frequency-based citation metrics that assume citations to be of a neutral sentiment. However, considering the sentiment behind citations aids in a better understanding of the…

Digital Libraries · Computer Science 2024-03-14 Shikha Gupta , Animesh Kumar

An empirical study is conducted to compare citations per publication, statistics and observed Hirsch indexes between subject fields using summary statistics of countries. No distributional assumptions are made and ratios are calculated.…

Digital Libraries · Computer Science 2018-11-06 J. Martin van Zyl , Sean van der Merwe

Modern management of research is increasingly based on quantitative bibliometric indices. Nowadays, the h-index is a major measure of research output that has supplanted all other citation-based indices. In this context, indicators that…

Digital Libraries · Computer Science 2017-10-06 M. Adda-Bedia , F. Lechenault

We address the question how citation-based bibliometric indicators can best be normalized to ensure fair comparisons between publications from different scientific fields and different years. In a systematic large-scale empirical analysis,…

Digital Libraries · Computer Science 2013-04-03 Ludo Waltman , Nees Jan van Eck

Ranking scientific authors is an important but challenging task, mostly due to the dynamic nature of the evolving scientific publications. The basic indicators of an author's productivity and impact are still the number of publications and…

Digital Libraries · Computer Science 2016-10-25 Dinesh Pradhan , Partha Sarathi Paul , Umesh Maheswari , Subrata Nandi , Tanmoy Chakraborty

One way of evaluating individual scientists is the determination of the number of highly cited publications, where the threshold is given by a large reference set. It is shown that this indicator behaves in a counterintuitive way, leading…

Digital Libraries · Computer Science 2013-05-09 Michael Schreiber

How to quantify the impact of a researcher's or an institution's body of work is a matter of increasing importance to scientists, funding agencies, and hiring committees. The use of bibliometric indicators, such as the h-index or the…

Physics and Society · Physics 2016-02-17 João A. G. Moreira , Xiao Han T. Zeng , Luís A. Nunes Amaral

The predominant method for evaluating the quality of causal models is to measure the graphical accuracy of the learned model structure. We present an alternative method for evaluating causal models that directly measures the accuracy of…

Artificial Intelligence · Computer Science 2016-08-17 Dan Garant , David Jensen