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20172021
most citedResearch Portfolio Analysis and Topic Prominence

1 citations · 1 across the 3 of their papers we have counts for

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cs.DL2021

Investigating Disagreement in the Scientific Literature

Wout S. Lamers, Kevin Boyack, Vincent Larivière +4

Disagreement is essential to scientific progress. However, the extent of disagreement in science, its evolution over time, and the fields in which it happens, remains poorly unders…

cs.DL2020

A Novel Approach to Predicting Exceptional Growth in Research

Richard Klavans, Kevin W. Boyack, Dewey A. Murdick

The prediction of exceptional or surprising growth in research is an issue with deep roots and few practical solutions. In this study we develop and validate a novel approach to fo…

cs.DL2019

A principled methodology for comparing relatedness measures for clustering publications

Ludo Waltman, Kevin W. Boyack, Giovanni Colavizza +1

There are many different relatedness measures, based for instance on citation relations or textual similarity, that can be used to cluster scientific publications. We propose a pri…

cs.DL2017

Characterizing in-text citations in scientific articles: A large-scale analysis

Kevin W. Boyack, Nees Jan van Eck, Giovanni Colavizza +1

We report characteristics of in-text citations in over five million full text articles from two large databases - the PubMed Central Open Access subset and Elsevier journals - as f…

cs.DL20171 cited

Research Portfolio Analysis and Topic Prominence

Richard Klavans, Kevin W. Boyack

Stakeholders in the science system need to decide where to place their bets. Example questions include: Which areas of research should get more funding? Who should we hire? Which p…

cs.DL2017

The Closer the Better: Similarity of Publication Pairs at Different Co-Citation Levels

Giovanni Colavizza, Kevin W. Boyack, Nees Jan van Eck +1

We investigate the similarities of pairs of articles which are co-cited at the different co-citation levels of the journal, article, section, paragraph, sentence and bracket. Our r…