Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses

By Yu-Wei Chang, Mu-Hsuan Huang, Chiao-Wen Lin. Scientometrics, 2015

310 citations recorded by the source corpus.

Subfields: Information Systems, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9eefd86cddbe3fec06cf62cd7961a1a231ce9d27

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Chaomei Chen
2. Jia-lin Hou
3. Xiucai Yang
4. Paolo Ferragina
5. Ugo Scaiella

In Statistics and Probability

1. Jia-lin Hou
2. Xiucai Yang
3. Chaomei Chen
4. Jerome K. Vanclay
5. Reijo Savolainen
6. Hamid R. Darvish
7. Enrique Herrera-Viedma
8. Loet Leydesdorff

Citations in the corpus

• Mapping 50 Years of Small Group Research Through Small Group Research (2020, unknown): “Researchers use keyword co-occurrence networks (KCNs) to demarcate the boundaries of scientific fields or domains and to identify communication between subfields (e.g., Castriotta et al., 2019; Y. W. Chang et al., 2015; Choi et al., 2011; Su & Lee, 2010).”
• Emerging trends and new developments in information science: a document co-citation analysis (2009–2016) (2018, methodology): “Moreover, increasingly more research has employed content analysis or co-word analysis to manually label the cluster results (Milojevic´ et al. 2011; Aharony 2012; Tuo-maala et al. 2014; Chang et al. 2015).”