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Most scientometricians reject the use of the journal impact factor for assessing individual articles and their authors. The well-known San Francisco Declaration on Research Assessment also strongly objects against this way of using the…

Digital Libraries · Computer Science 2021-02-23 Ludo Waltman , Vincent A. Traag

Regression evaluation has been performed for decades. Some metrics have been identified to be robust against shifting and scaling of the data but considering the different distributions of data is much more difficult to address (imbalance…

Machine Learning · Computer Science 2020-09-14 Mario Michael Krell , Bilal Wehbe

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

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

Properties of a percentile-based rating scale needed in bibliometrics are formulated. Based on these properties, P100 was recently introduced as a new citation-rank approach (Bornmann, Leydesdorff, & Wang, in press). In this paper, we…

Digital Libraries · Computer Science 2013-10-11 Lutz Bornmann , Ruediger Mutz

Percentiles have been established in bibliometrics as an important alternative to mean-based indicators for obtaining a normalized citation impact of publications. Percentiles have a number of advantages over standard bibliometric…

Digital Libraries · Computer Science 2012-11-05 Lutz Bornmann , Loet Leydesdorff , Ruediger Mutz

Many methods are available for assessing the importance of omitted variables in linear regression. These methods typically make different, non-falsifiable assumptions. Hence the data alone cannot tell us which method is most appropriate.…

Econometrics · Economics 2026-02-05 Paul Diegert , Matthew A. Masten , Alexandre Poirier

We find evidence for the universality of two relative bibliometric indicators of the quality of individual scientific publications taken from different data sets. One of these is a new index that considers both citation and reference…

Physics and Society · Physics 2012-10-26 T. S. Evans , N. Hopkins , B. S. Kaube

The recently proposed Euclidean index offers a novel approach to measure the citation impact of academic authors, in particular as an alternative to the h-index. We test if the index provides new, robust information, not covered by existing…

Digital Libraries · Computer Science 2017-03-08 Jens Peter Andersen

We introduce some new indexes to measure the departure of any multivariate continuous distribution on non-negative orthant from a given reference one such the uncorrelated exponential model, similar to the relative Fisher dispersion indexes…

Statistics Theory · Mathematics 2019-06-25 Célestin C. Kokonendji , Aboubacar Y. Touré , Amadou Sawadogo

In this work we ask whether and to what extent applying a predictor of publications' impact better than early citations, has an effect on the assessment of research performance of individual scientists. Specifically, we measure the total…

Digital Libraries · Computer Science 2021-03-26 Giovanni Abramo , Ciriaco Andrea D'Angelo , Giovanni Felici

In this paper an analysis of the presence and possibilities of altmetrics for bibliometric and performance analysis is carried out. Using the web based tool Impact Story, we collected metrics for 20,000 random publications from the Web of…

Digital Libraries · Computer Science 2014-04-07 Zohreh Zahedi , Rodrigo Costas , Paul Wouters

Random-effects meta-analyses of observational studies can produce biased estimates if the synthesized studies are subject to unmeasured confounding. We propose sensitivity analyses quantifying the extent to which unmeasured confounding of…

Methodology · Statistics 2017-10-10 Maya B. Mathur , Tyler J. VanderWeele

Despite the huge amount of literature on h-index, few papers have been devoted to the statistical analysis of h-index when a probabilistic distribution is assumed for citation counts. The present contribution relies on showing the available…

Applications · Statistics 2014-07-29 Alberto Baccini , Lucio Barabesi , Marzia Marcheselli , Luca Pratelli

Several measures of non-convexity (departures from convexity) have been introduced in the literature, both for sets and functions. Some of them are of geometric nature, while others are more of topological nature. We address the statistical…

Statistics Theory · Mathematics 2022-11-23 Alejandro Cholaquidis , Ricardo Fraiman , Leonardo Moreno , Beatriz Pateiro-López

It is commonly required to detect change points in sequences of random variables. In the most difficult setting of this problem, change detection must be performed sequentially with new observations being constantly received over time.…

Methodology · Statistics 2015-05-08 Gordon J Ross

Bibliometrics plays an increasingly important role in research evaluation. However, no gold standard exists for a set of reliable and valid (field-normalized) impact indicators in research evaluation. This opinion paper recommends that…

Digital Libraries · Computer Science 2018-05-21 Lutz Bornmann , Werner Marx

The proliferation of surveys and review articles in academic journals has impacted citation metrics like impact factor and h-index, skewing evaluations of journal and researcher quality. This work investigates the implications of this…

Digital Libraries · Computer Science 2025-04-09 Jesus S. Aguilar-Ruiz

There are several estimators of conditional probability from observed frequencies of features. In this paper, we propose using the lower limit of confidence interval on posterior distribution determined by the observed frequencies to…

Information Theory · Computer Science 2017-09-26 Masato Kikuchi , Eiko Yamamoto , Mitsuo Yoshida , Masayuki Okabe , Kyoji Umemura

We discuss the paper "Citation Statistics" by the Joint Committee on Quantitative Assessment of Research [arXiv:0910.3529]. In particular, we focus on a necessary feature of "good" measures for ranking scientific authors: that good measures…

Methodology · Statistics 2009-10-20 Sune Lehmann , Benny E. Lautrup , Andrew D. Jackson