Kevin W Boyack
Biographic Data
| ID | 9458095 |
|---|---|
| NAME | Kevin W Boyack |
| GIVEN NAMES | Kevin W |
| FAMILY NAME | Boyack |
| SIGNATURE | BOYACK K W |
| AFFILIATIONS | SciTech Strategies (United States) |
| ORCID | 0000-0001-7814-8951 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
An improved practical approach to forecasting exceptional growth in research
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
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
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?
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
Approaches to understanding and measuring interdisciplinary scientific research (IDR)
Co‐citation analysis, bibliographic coupling, and direct citation
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
Visualizing knowledge domains
No prominent works on this page.
Visualizing knowledge domains
Mapping the backbone of science
Co‐citation analysis, bibliographic coupling, and direct citation
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)
Identifying emerging topics in science and technology
Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?
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
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
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
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)