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Related papers: Expected values in percentile indicators

200 papers

There is demand from science funders, industry, and the public that science should become more risk-taking, more out-of-the-box, and more interdisciplinary. Is it possible to tell how interdisciplinary and out-of-the-box scientific papers…

Digital Libraries · Computer Science 2020-07-01 Stefan Thurner , Wenyuan Liu , Peter Klimek , Siew Ann Cheong

The percentile-based rating scale P100 describes the citation impact in terms of the distribution of unique citation values. This approach has recently been refined by considering also the frequency of papers with the same citation counts.…

Digital Libraries · Computer Science 2014-11-11 Michael Schreiber

This article addresses issues of model criticism and model comparison in Bayesian contexts, and focusses on the use of the so-called posterior predictive p-values (ppp values). These involve a general discrepancy or conflict measure and…

Methodology · Statistics 2026-05-26 Nils Lid Hjort , Fredrik A. Dahl , Gunnhildur Högnadóttir Steinbakk

We report a method of estimating what percentage of people who cited a paper had actually read it. The method is based on a stochastic modeling of the citation process that explains empirical studies of misprint distributions in citations…

Disordered Systems and Neural Networks · Physics 2007-05-23 M. V. Simkin , V. P. Roychowdhury

The web application presented in this paper allows for an analysis to reveal centres of excellence in different fields worldwide using publication and citation data. Only specific aspects of institutional performance are taken into account…

Digital Libraries · Computer Science 2013-07-25 Lutz Bornmann , Moritz Stefaner , Felix de Moya Anegon , Ruediger Mutz

The growing focus in research policy worldwide on top scientists makes it increasingly important to define adequate supporting measures to help identify excellent scientists. Highly cited publications have since long been associated to…

Digital Libraries · Computer Science 2013-07-26 Nadine Rons

Distributions over rankings are used to model data in various settings such as preference analysis and political elections. The factorial size of the space of rankings, however, typically forces one to make structural assumptions, such as…

Machine Learning · Computer Science 2012-02-20 Jonathan Huang , Ashish Kapoor , Carlos E. Guestrin

We compute confidence intervals for recursive impact factors, that take into account that some citations are more prestigious than others, as well as for the associated ranks of journals, applying the methods to the population of economics…

General Economics · Economics 2022-06-02 Johannes Konig , David I. Stern , Richard S. J. Tol

A scheme of evaluating an impact of a given scientific paper based on importance of papers quoting it is investigated. Introducing a weight of a given citation, dependent on the previous scientific achievements of the author of the citing…

Physics and Society · Physics 2010-10-08 Karol Zyczkowski

$P$-values have been the focus of considerable criticism based on various considerations. Still, the $P$-value represents one of the most commonly used statistical tools. When assessing the suitability of a single hypothesized distribution,…

Statistics Theory · Mathematics 2010-01-13 Michael Evans , Gun Ho Jang

Scholars, awards committees, and laypeople frequently discuss the merit of written works. Literary professionals and journalists differ in how much perspectivism they concede in their book reviews. Here, we quantify how strongly book…

Digital Libraries · Computer Science 2025-03-05 Hannes Rosenbusch , Luke Korthals

The methods presented in this paper allow for a statistical analysis revealing centers of excellence around the world using programs that are freely available. Based on Web of Science data, field-specific excellence can be identified in…

Digital Libraries · Computer Science 2011-06-29 Lutz Bornmann , Loet Leydesdorff

In this paper we extend the principle of proportional representation to rankings. We consider the setting where alternatives need to be ranked based on approval preferences. In this setting, proportional representation requires that…

Computer Science and Game Theory · Computer Science 2016-12-06 Piotr Skowron , Martin Lackner , Markus Brill , Dominik Peters , Edith Elkind

Researchers are more likely to share notable findings. As a result, published findings tend to overstate the magnitude of real-world phenomena. This bias is a natural concern for asset pricing research, which has found hundreds of return…

General Finance · Quantitative Finance 2023-09-22 Andrew Y. Chen , Tom Zimmermann

One of the most useful and correct methodological approaches in bibliometrics is ranking. In the context of highly skewed bibliometric distributions and severe distortions caused by outliers, it is often the preferable way of analysis.…

Digital Libraries · Computer Science 2022-08-31 Vladimir Pislyakov

The paper is focused on the problem of estimating the probability $p$ of individual contaminated sample, under group testing. The precision of the estimator is given by the probability of proportional closeness, a concept defined in the…

Statistics Theory · Mathematics 2017-12-27 Yaakov Malinovsky , Shelemyahu Zacks

Peer review is the most common mechanism in place for assessing requests for resources in a large variety of scientific disciplines. One of the strongest criticisms to this paradigm is the limited reproducibility of the process, especially…

Physics and Society · Physics 2018-07-04 Ferdinando Patat

Mysterious citations are routinely appearing in peer-reviewed publications throughout the scientific community. In this paper, we developed an automated pipeline and examine the proceedings of four major high-performance computing…

Digital Libraries · Computer Science 2026-02-06 Amanda Bienz , Carl Pearson , Simon Garcia de Gonzalo

What makes a paper independently reproducible? Debates on reproducibility center around intuition or assumptions but lack empirical results. Our field focuses on releasing code, which is important, but is not sufficient for determining…

Machine Learning · Computer Science 2019-09-17 Edward Raff

Since a number of journals specifically focus on the review and publication of data sets, reviewing their policies seems an appropriate place to start in assessing what existing practice looks like in the 'real world' of reviewing and…

Digital Libraries · Computer Science 2017-04-10 Todd A Carpenter