[R course] bibliometrix: An R-Tool for Bibliometric Analysis

R Courses NLP

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Thierry Warin https://warin.ca/aboutme.html (HEC Montréal and CIRANO (Canada))https://www.hec.ca/en/profs/thierry.warin.html

Course objectives

This course provides routines for importing bibliographic data which work with the bibliometrix package that you’ll discover and use to perform bibliometric analysis and build data matrices for: co-citation, coupling, scientific collaboration analysis and co-word analysis.

Cours plan

1. Bibliometrix

Learning about the bibliometrix package.

2. Import & Convert

Importing a .bib file and converting it into a dataframe.

3. Bibliometric Analysis

Calculating main bibliometric measures.

4. Bibliographic Network Matrices

Generating bibliographic network matrices.

5. Network Graph Characteristics

Calculating summary statistics.

6. Three Fields Plot

Visualizing the relation between main items of three fields through a Sankey diagram.

7. Visualizing Bibliographic Networks

Calculating the most frequently used networks: Coupling, Co-citation, Co-occurrences, and Collaboration.

8. Co-Word Analysis

Mapping the conceptual structure of a framework using the word co-occurrences.

9. Historical Direct Citation Network

Representing a chronological network map of most relevant direct citations.

10. Biblioshiny

Using a shiny to facilitate bibliometric analysis.



For attribution, please cite this work as

Warin (2020, March 26). Thierry Warin, PhD: [R course] bibliometrix: An R-Tool for Bibliometric Analysis. Retrieved from https://warin.ca/posts/rcourse-bibliometrix/

BibTeX citation

  author = {Warin, Thierry},
  title = {Thierry Warin, PhD: [R course] bibliometrix: An R-Tool for Bibliometric Analysis},
  url = {https://warin.ca/posts/rcourse-bibliometrix/},
  year = {2020}