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Here we show a novel technique for comparing subject categories, where the prestige of academic journals in each category is represented statistically by an impact-factor histogram. For each subject category we compute the probability of…

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 are witnessing a rapid trend towards the adoption of exercises for evaluation of national research systems, generally based on the peer review approach. They respond to two main needs: stimulating higher efficiency in research activities…

Digital Libraries · Computer Science 2018-11-22 Giovanni Abramo , Ciriaco Andrea D'Angelo

In this paper we describe the usefulness of statistical validation techniques for human factors survey research. We need to investigate a diversity of validity aspects when creating metrics in human factors research, and we argue that the…

Software Engineering · Computer Science 2019-04-05 Lucas Gren , Alfredo Goldman

What is the value of a scientist and its impact upon the scientific thinking? How can we measure the prestige of a journal or of a conference? The evaluation of the scientific work of a scientist and the estimation of the quality of a…

Digital Libraries · Computer Science 2007-05-23 Antonis Sidiropoulos , Dimitrios Katsaros , Yannis Manolopoulos

We perform a statistical analysis of scientific-publication data with a goal to provide quantitative analysis of scientific process. Such an investigation belongs to the newly established field of scientometrics: a branch of the general…

Digital Libraries · Computer Science 2020-03-24 Olesya Mryglod , Yurij Holovatch , Ralph Kenna

Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE), together with the growing…

Information Retrieval · Computer Science 2007-05-23 Stevan Harnad

Van Raan et al. (2010; arXiv:1003.2113) have proposed a new indicator (MNCS) for field normalization. Since field normalization is also used in the Leiden Rankings of universities, we elaborate our critique of journal normalization in…

Physics and Society · Physics 2010-05-06 Loet Leydesdorff , Tobias Opthof

We tested Rousseau's (in press) recent proposal to define percentile classes in the case of the Integrated Impact Indicator (I3) so that the largest number in a set always belongs to the highest (100th) percentile rank class. In the case a…

Computers and Society · Computer Science 2011-12-30 Loet Leydesdorff , Lutz Bornmann

Recently, it was shown that most popular IR measures are not interval-scaled, implying that decades of experimental IR research used potentially improper methods, which may have produced questionable results. However, it was unclear if and…

Information Retrieval · Computer Science 2021-01-08 Marco Ferrante , Nicola Ferro , Norbert Fuhr

Lennard (2013) [Fingerprint identification: how far have we come? Aus J Forensic Sci. doi:10.1080/00450618.2012.752037] proposes that the numeric output of statistical models should not be presented in court (except "if necessary" / "if…

Methodology · Statistics 2020-12-23 Geoffrey Stewart Morrison , Reinoud D Stoel

Measuring research impact is important for ranking publications in academic search engines and for research evaluation. Social media metrics or altmetrics measure the impact of scientific work based on social media activity. Altmetrics are…

Social and Information Networks · Computer Science 2018-04-10 Maryam Mehrazar , Christoph Carl Kling , Steffen Lemke , Athanasios Mazarakis , Isabella Peters

In the past two decades, psychological science has experienced an unprecedented replicability crisis which uncovered several issues. Among others, statistical inference is too often viewed as an isolated procedure limited to the analysis of…

Measuring performance & quantifying a performance change are core evaluation techniques in programming language and systems research. Of 122 recent scientific papers, as many as 65 included experimental evaluation that quantified a…

Methodology · Statistics 2020-07-22 Tomas Kalibera , Richard Jones

Rankings of scholarly journals based on citation data are often met with skepticism by the scientific community. Part of the skepticism is due to disparity between the common perception of journals' prestige and their ranking based on…

Applications · Statistics 2015-12-16 Cristiano Varin , Manuela Cattelan , David Firth

Measuring the efficiency of scientific research activity presents critical methodological aspects, many of which have not been sufficiently studied. Although many studies have assessed the relation between quality and research productivity…

Digital Libraries · Computer Science 2018-11-06 Giovanni Abramo , Ciriaco Andrea D'Angelo , Marco Solazzi

This paper introduces a new method for change detection in psychometric studies based on the recently introduced pseudo Score statistic, for which the sampling distribution under the alternative hypothesis has been determined. Our approach…

Methodology · Statistics 2024-08-09 Nicoletta D'Angelo

There is a worldwide trend towards application of bibliometric research evaluation, in support of the needs of policy makers and research administrators. However the assumptions and limitations of bibliometric measurements suggest a…

Digital Libraries · Computer Science 2018-10-31 Giovanni Abramo , Corrado Costa , Ciriaco Andrea D'Angelo

Through academic publications, the authors of these publications form a social network. Instead of sharing casual thoughts and photos (as in Facebook), authors pick co-authors and reference papers written by other authors. Thanks to various…

Social and Information Networks · Computer Science 2014-02-18 Tom Z. J. Fu , Qianqian Song , Dah Ming Chiu

Despite extensive focus on techniques for evaluating the performance of two learning algorithms on a single dataset, the critical challenge of developing statistical tests to compare multiple algorithms across various datasets has been…

Machine Learning · Computer Science 2025-12-16 Mohammad Abu-Shaira , Weishi Shi
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