Literature DB >> 33746310

Viewing Computer Science through Citation Analysis: Salton and Bergmark Redux.

Sitaram Devarakonda1, Dmitriy Korobskiy1, Tandy Warnow2, George Chacko1.   

Abstract

Computer science has experienced dramatic growth and diversification over the last twenty years. Towards a current understanding of the structure of this discipline, we analyze a large sample of the computer science literature from the DBLP database. For insight on the features of this cohort and the relationship within its components, we have constructed article level clusters based on either direct citations or co-citations, and reconciled them with major and minor subject categories in the All Science Journal Classification (ASJC). We describe complementary insights from clustering by direct citation and co-citation, and both point to the increase in computer science publications and their scope. Our analysis reveals cross-category clusters, some that interact with external fields, such as the biological sciences, while others remain inward looking. Overall, we document an increase in computer science publications and their scope.

Entities:  

Keywords:  01A85; 01A90; Bibliometrics; Clustering; Computer Science; DBLP; Research Evaluation

Year:  2020        PMID: 33746310      PMCID: PMC7968068          DOI: 10.1007/s11192-020-03624-0

Source DB:  PubMed          Journal:  Scientometrics        ISSN: 0138-9130            Impact factor:   3.238


  5 in total

1.  Weighted graph cuts without eigenvectors a multilevel approach.

Authors:  Inderjit S Dhillon; Yuqiang Guan; Brian Kulis
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2007-11       Impact factor: 6.226

2.  Clustering more than two million biomedical publications: comparing the accuracies of nine text-based similarity approaches.

Authors:  Kevin W Boyack; David Newman; Russell J Duhon; Richard Klavans; Michael Patek; Joseph R Biberstine; Bob Schijvenaars; André Skupin; Nianli Ma; Katy Börner
Journal:  PLoS One       Date:  2011-03-17       Impact factor: 3.240

3.  Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale.

Authors:  Scott Emmons; Stephen Kobourov; Mike Gallant; Katy Börner
Journal:  PLoS One       Date:  2016-07-08       Impact factor: 3.240

4.  From Louvain to Leiden: guaranteeing well-connected communities.

Authors:  V A Traag; L Waltman; N J van Eck
Journal:  Sci Rep       Date:  2019-03-26       Impact factor: 4.379

5.  Clustering Scientific Publications Based on Citation Relations: A Systematic Comparison of Different Methods.

Authors:  Lovro Šubelj; Nees Jan van Eck; Ludo Waltman
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

  5 in total

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