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Kevin W Boyack

Biographic Data

ID9458095
NAMEKevin W Boyack
GIVEN NAMESKevin W
FAMILY NAMEBoyack
SIGNATUREBOYACK K W
AFFILIATIONSSciTech Strategies (United States)
ORCID0000-0001-7814-8951
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2003
LATEST PUBLICATION YEAR2022
H-INDEX0
  • An improved practical approach to forecasting exceptional growth in research

    Open Access•Kevin W Boyack, Richard Klavans•ARTICLE•Quantitative Science Studies•2022

    The accurate forecasting of exceptional growth in research areas has been an extremely difficult problem to solve. In a previous study we introduced an approach to forecasting which research clusters in a global model of the scientific literature would have an annual growth rate of 8% annually over a 3-year period. In this study we (a) introduce a much more robust method of creating and updating global models of research, (b) introduce new indica…

  • A comparison of large-scale science models based on textual, direct citation and hybrid relatedness

    Open Access•Kevin W Boyack, Richard Klavans•ARTICLE•Quantitative Science Studies•2020

    Recent large-scale bibliometric models have largely been based on direct citation, and several recent studies have explored augmenting direct citation with other citation-based or textual characteristics. In this study we compare clustering results from direct citation, extended direct citation, a textual relatedness measure, and several citation-text hybrid measures using a set of nine million documents. Three different accuracy measures are emp…

  • A principled methodology for comparing relatedness measures for clustering publications

    Open Access•Ludo Waltman, Kevin W Boyack et al.•ARTICLE•Quantitative Science Studies•2020

    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 principled methodology for evaluating the accuracy of clustering solutions obtained using these relatedness measures. We formally show that the proposed methodology has an important consistency property. The empirical analyses that we present are based on publications in t…

  • Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?

    Open Access•Richard Klavans, Kevin W Boyack•ARTICLE•Journal of the Association for…•2017

    In 1965, Price foresaw the day when a citation‐based taxonomy of science and technology would be delineated and correspondingly used for science policy. A taxonomy needs to be comprehensive and accurate if it is to be useful for policy making, especially now that policy makers are utilizing citation‐based indicators to evaluate people, institutions and laboratories. Determining the accuracy of a taxonomy, however, remains a challenge. Previous wo…

  • Identifying emerging topics in science and technology

    Open Access•Henry Small, Kevin W Boyack et al.•ARTICLE•Research Policy•2014

  • Approaches to understanding and measuring interdisciplinary scientific research (IDR)

    Open Access•Caroline S Wagner, J David Roessner et al.•ARTICLE•Journal of Informetrics•2011

  • Co‐citation analysis, bibliographic coupling, and direct citation

    Open Access•Kevin W Boyack, Richard Klavans•ARTICLE•Journal of the Association for…•2010

    In the past several years studies have started to appear comparing the accuracies of various science mapping approaches. These studies primarily compare the cluster solutions resulting from different similarity approaches, and give varying results. In this study we compare the accuracies of cluster solutions of a large corpus of 2,153,769 recent articles from the biomedical literature (2004–2008) using four similarity approaches: co‐citation anal…

  • Mapping the backbone of science

    Open Access•Kevin W Boyack, Richard Klavans et al.•ARTICLE•Scientometrics•2005

  • Visualizing knowledge domains

    Open Access•Katy Börner, Chaomei Chen et al.•ARTICLE•Annual Review of Information…•2003

No prominent works on this page.

  • Visualizing knowledge domains

    Open Access•Katy Börner, Chaomei Chen et al.•ARTICLE•Annual Review of Information…•2003

  • Mapping the backbone of science

    Open Access•Kevin W Boyack, Richard Klavans et al.•ARTICLE•Scientometrics•2005

  • Co‐citation analysis, bibliographic coupling, and direct citation

    Open Access•Kevin W Boyack, Richard Klavans•ARTICLE•Journal of the Association for…•2010

    In the past several years studies have started to appear comparing the accuracies of various science mapping approaches. These studies primarily compare the cluster solutions resulting from different similarity approaches, and give varying results. In this study we compare the accuracies of cluster solutions of a large corpus of 2,153,769 recent articles from the biomedical literature (2004–2008) using four similarity approaches: co‐citation anal…

  • Approaches to understanding and measuring interdisciplinary scientific research (IDR)

    Open Access•Caroline S Wagner, J David Roessner et al.•ARTICLE•Journal of Informetrics•2011

  • Identifying emerging topics in science and technology

    Open Access•Henry Small, Kevin W Boyack et al.•ARTICLE•Research Policy•2014

  • Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?

    Open Access•Richard Klavans, Kevin W Boyack•ARTICLE•Journal of the Association for…•2017

    In 1965, Price foresaw the day when a citation‐based taxonomy of science and technology would be delineated and correspondingly used for science policy. A taxonomy needs to be comprehensive and accurate if it is to be useful for policy making, especially now that policy makers are utilizing citation‐based indicators to evaluate people, institutions and laboratories. Determining the accuracy of a taxonomy, however, remains a challenge. Previous wo…

  • A comparison of large-scale science models based on textual, direct citation and hybrid relatedness

    Open Access•Kevin W Boyack, Richard Klavans•ARTICLE•Quantitative Science Studies•2020

    Recent large-scale bibliometric models have largely been based on direct citation, and several recent studies have explored augmenting direct citation with other citation-based or textual characteristics. In this study we compare clustering results from direct citation, extended direct citation, a textual relatedness measure, and several citation-text hybrid measures using a set of nine million documents. Three different accuracy measures are emp…

  • A principled methodology for comparing relatedness measures for clustering publications

    Open Access•Ludo Waltman, Kevin W Boyack et al.•ARTICLE•Quantitative Science Studies•2020

    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 principled methodology for evaluating the accuracy of clustering solutions obtained using these relatedness measures. We formally show that the proposed methodology has an important consistency property. The empirical analyses that we present are based on publications in t…

  • An improved practical approach to forecasting exceptional growth in research

    Open Access•Kevin W Boyack, Richard Klavans•ARTICLE•Quantitative Science Studies•2022

    The accurate forecasting of exceptional growth in research areas has been an extremely difficult problem to solve. In a previous study we introduced an approach to forecasting which research clusters in a global model of the scientific literature would have an annual growth rate of 8% annually over a 3-year period. In this study we (a) introduce a much more robust method of creating and updating global models of research, (b) introduce new indica…

Computer Science (9 works) · scientometrics and bibliometrics research (8 works) · Citation (7 works) · Information retrieval (6 works) · Data mining (5 works) · Data science (5 works) · Library science (5 works) · Cluster analysis (4 works) · Artificial Intelligence (3 works) · Bibliographic coupling (3 works)

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