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Related papers: Universality in Bibliometrics

200 papers

This study aimed to identify and analyze the characteristics of highly cited publications in the field of artificial intelligence within the Science Citation Index Expanded from 1991 to 2022. The assessment focused on documents that…

Digital Libraries · Computer Science 2024-11-19 Yuh-Shan Ho , Juan-Jose Prieto-Gutierrez

The citation impact of a scientific publication is usually seen as a one-dimensional concept. We introduce a multi-dimensional framework for characterizing the citation impact of a publication. In addition to the level of citation impact,…

Digital Libraries · Computer Science 2020-11-24 Yi Bu , Ludo Waltman , Yong Huang

Currently the ranking of scientists is based on the $h$-index, which is widely perceived as an imprecise and simplistic though still useful metric. We find that the $h$-index actually favours modestly performing researchers and propose a…

Digital Libraries · Computer Science 2015-11-06 S. N. Dorogovtsev , J. F. F. Mendes

Bibliometric indicators are increasingly used in support of decisions for recruitment, career advancement, rewarding and selective funding for scientists. Given the importance of the applications, bibliometricians are obligated to carry out…

Digital Libraries · Computer Science 2018-12-24 Giovanni Abramo , Ciriaco Andrea D'Angelo , Fulvio Viel

One is inclined to conceptualize impact in terms of citations per publication, and thus as an average. However, citation distributions are skewed, and the average has the disadvantage that the number of publications is used in the…

Digital Libraries · Computer Science 2012-04-10 Loet Leydesdorff

This paper presents an extensive survey of regular distributions in natural and social sciences. The survey includes studies from a wide scope of academic disciplines, in order to create an inventory of the different mathematical functions…

Physics and Society · Physics 2015-07-14 L. Benguigui , M. Marinov

This paper aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information Retrieval (IR) was selected…

Digital Libraries · Computer Science 2011-02-10 Ying Ding

Citation analysis is used extensively in the bibliometrics literature to assess the impact of individual works, researchers, institutions, and even entire fields of study. In this paper, we analyze citations in one large and influential…

Digital Libraries · Computer Science 2023-01-31 Eitan Frachtenberg

We consider nonparametric Bayesian estimation of a probability density $p$ based on a random sample of size $n$ from this density using a hierarchical prior. The prior consists, for instance, of prior weights on the regularity of the…

Statistics Theory · Mathematics 2009-09-29 Subhashis Ghosal , Jüri Lember , Aad van der Vaart

I propose a new measure, the w-index, as a particularly simple and useful way to assess the integrated impact of a researcher's work, especially his or her excellent papers. The w-index can be defined as follows: If w of a researcher's…

Physics and Society · Physics 2010-02-28 Qiang Wu

This paper introduces a simple agglomerative clustering method to identify large publishing consortia with at least 20 authors and 80% shared authorship between articles. Based on Scopus journal articles 1996-2018, under these criteria,…

Digital Libraries · Computer Science 2019-06-06 Mike Thelwall

The scientific community increasingly relies on open data sharing, yet existing metrics inadequately capture the true impact of datasets as research outputs. Traditional measures, such as the h-index, focus on publications and citations but…

Computers and Society · Computer Science 2025-12-09 Smitha Muthya Sudheendra , Zhongxing Zhang , Wenwen Cao , Jisu Huh , Jaideep Srivastava

A multi-parametric family of stretch exponential distributions with various power law tails is introduced and is shown to describe adequately the empirical distributions of scientific citation of individual authors. The four-parametric…

Physics and Society · Physics 2016-05-13 O. S. Garanina , M. Yu. Romanovsky

I describe a method to separate the articles of different authors with the same name. It is based on a distance between any two publications, defined in terms of the probability that they would have as many coincidences if they were drawn…

Digital Libraries · Computer Science 2007-05-23 Jose M. Soler

The disambiguation of author names is an important and challenging task in bibliometrics. We propose an approach that relies on an external source of information for selecting and validating clusters of publications identified through an…

Digital Libraries · Computer Science 2021-03-29 Ciriaco Andrea D'Angelo , Nees Jan van Eck

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

Scientific behavior is often characterized by a tension between building upon established knowledge and introducing novel ideas. Here, we investigate whether this tension is reflected in the relationship between the similarity of a…

Digital Libraries · Computer Science 2025-07-01 Nathaniel Imel , Zachary Hafen

As science advances, the academic community has published millions of research papers. Researchers devote time and effort to search relevant manuscripts when writing a paper or simply to keep up with current research. In this paper, we…

Information Retrieval · Computer Science 2019-01-01 Haofeng Jia , Erik Saule

Bibliometric indicators can be determined by comparing specific citation records with the percentiles of a reference set. However, there exists an ambiguity in the computation of percentiles because usually a significant number of papers…

Digital Libraries · Computer Science 2013-11-27 Michael Schreiber

The volume of academic paper submissions and publications is growing at an ever increasing rate. While this flood of research promises progress in various fields, the sheer volume of output inherently increases the amount of noise. We…

Information Retrieval · Computer Science 2020-05-22 Marko Stamenovic , Jeibo Luo