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Related papers: Quantifying the topic disparity of scientific arti…

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Scientific novelty is a critical construct in bibliometrics and is commonly measured by aggregating pairwise distances between the knowledge units underlying a paper. While prior work has refined how such distances are computed, less…

Digital Libraries · Computer Science 2026-02-09 Yi Xiang , Pascal Welke , Chengzhi Zhang , Jian Wang

Normalised citation counts are routinely used to assess the average impact of research groups or nations. There is controversy over whether confidence intervals for them are theoretically valid or practically useful. In response, this…

Digital Libraries · Computer Science 2017-10-25 Mike Thelwall

Citation recommendation is an important task to assist scholars in finding candidate literature to cite. Traditional studies focus on static models of recommending citations, which do not explicitly distinguish differences between papers…

Information Retrieval · Computer Science 2021-01-20 Shutian Ma , Heng Zhang , Chengzhi Zhang , Xiaozhong Liu

We propose a summarization approach for scientific articles which takes advantage of citation-context and the document discourse model. While citations have been previously used in generating scientific summaries, they lack the related…

Computation and Language · Computer Science 2017-04-24 Arman Cohan , Nazli Goharian

This work explores the distribution of citations for the publications of top scientists. A first objective is to find out whether the 80-20 Pareto rule applies, that is if 80% of the citations to a top scientist's work concern 20% of their…

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

Evaluation of journals for quality is one of the dominant themes of bibliometrics since journals are the primary venue of vetting and distribution of scholarship. There are many criticisms of quantifying journal impact with bibliometrics…

Digital Libraries · Computer Science 2021-02-23 Domenic Rosati

Co-authored articles tend to be more cited in many academic fields, but is this because they tend to be higher quality or is it an audience effect: increased awareness through multiple author networks? We address this unknown with the…

Digital Libraries · Computer Science 2023-07-31 Mike Thelwall , Kayvan Kousha , Mahshid Abdoli , Emma Stuart , Meiko Makita , Paul Wilson , Jonathan Levitt

Bibliometric studies often rely on field-normalized citation impact indicators in order to make comparisons between scientific fields. We discuss the connection between field normalization and the choice of a counting method for handling…

Digital Libraries · Computer Science 2015-01-20 Ludo Waltman , Nees Jan van Eck

Academic publishing requires solving a collective coordination problem: among thousands of possible publication venues, which deserve a community's attention? A clear consensus helps scholars allocate attention, match submissions to…

Digital Libraries · Computer Science 2026-03-03 Ian Van Buskirk , Marilena Hohmann , Ekaterina Landgren , Johan Ugander , Aaron Clauset , Daniel B. Larremore

A widely used measure of scientific impact is citations. However, due to their heavy-tailed distribution, citations are fundamentally difficult to predict. Instead, to characterize scientific impact, we address two analogous questions asked…

Digital Libraries · Computer Science 2016-11-17 Yuxiao Dong , Reid A. Johnson , Nitesh V. Chawla

A common consensus in the literature is that the citation profile of published articles in general follows a universal pattern - an initial growth in the number of citations within the first two to three years after publication followed by…

Digital Libraries · Computer Science 2015-03-29 Tanmoy Chakraborty , Suhansanu Kumar , Pawan Goyal , Niloy Ganguly , Animesh Mukherjee

Many different measures are used to assess academic research excellence and these are subject to ongoing discussion and debate within the scientometric, university-management and policy-making communities internationally. One topic of…

Digital Libraries · Computer Science 2014-09-23 O. Mryglod , R. Kenna , Yu. Holovatch , B. Berche

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

Scholars frequently employ relatedness measures to estimate the similarity between two different items (e.g., documents, authors, and institutes). Such relatedness measures are commonly based on overlapping references ($\textit{i.e.}$,…

Social and Information Networks · Computer Science 2020-04-14 Jinhyuk Yun , Sejung Ahn , June Young Lee

Many other factors affecting citation of publications, except for research area coverage, have been studied. This study aims to investigate impact of research area coverage. Bibliometric papers and their related papers (referred papers,…

Digital Libraries · Computer Science 2023-11-14 Zhuoran Lin , Yun Wang , Hongjun Li

The use of Pearson's correlation coefficient in Author Cocitation Analysis was compared with Salton's cosine measure in a number of recent contributions. Unlike the Pearson correlation, the cosine is insensitive to the number of zeros.…

Information Retrieval · Computer Science 2009-11-24 Loet Leydesdorff

A percentile-based bibliometric indicator is an indicator that values publications based on their position within the citation distribution of their field. The most straightforward percentile-based indicator is the proportion of frequently…

Digital Libraries · Computer Science 2013-03-01 Ludo Waltman , Michael Schreiber

In this paper we present a first large-scale analysis of the relationship between Mendeley readership and citation counts with particular documents bibliographic characteristics. A data set of 1.3 million publications from different fields…

Digital Libraries · Computer Science 2017-12-27 Zohreh Zahedi , Stefanie Haustein

The aim of this note is to propose a definition of the scientific diversity and corollarly, a measure of the "interdisciplinarity" of collaborations. With respect to previous studies, the proposed approach consists of 2 steps : first, the…

Digital Libraries · Computer Science 2012-10-25 Stéphane Cordier

Topic models extract representative word sets - called topics - from word counts in documents without requiring any semantic annotations. Topics are not guaranteed to be well interpretable, therefore, coherence measures have been proposed…

Machine Learning · Computer Science 2014-03-26 Frank Rosner , Alexander Hinneburg , Michael Röder , Martin Nettling , Andreas Both