Bibliometric Analysis & Research Impact Cartography

About this course

What this course covers

Bibliometrics and scientometrics have become indispensable for mapping the intellectual structure of disciplines, evaluating research performance, and identifying emerging frontiers. This course provides hands-on training in the quantitative analysis of scholarly literature using VOSviewer, CiteSpace, Bibliometrix (R), and the Scopus and Web of Science analytics interfaces — enabling participants to conduct publishable bibliometric studies and to strategically position their own research. Learning outcomes • Retrieve, clean, and structure bibliographic datasets from Scopus and Web of Science • Apply co-citation, bibliographic coupling, and keyword co-occurrence mapping to identify clusters and frontiers • Construct and interpret network visualizations in VOSviewer and CiteSpace with documented parameters • Compute and critically interpret author, journal, and institutional metrics (h-index, m-quotient, g-index, CiteScore, SNIP, SJR) • Conduct and report a publishable bibliometric review using Bibliometrix in R Assessment & deliverables A full dataset retrieval and cleaning exercise; a VOSviewer co-citation network with annotated interpretation; a draft bibliometric review manuscript (Introduction, Methods, Results — 3,000 words).

What you’ll learn

Outcomes you can put to work

Curriculum

• 01

  Module 1 — Foundations of Bibliometrics & Data Retrieval

  0 lessons

  Bibliometrics vs. scientometrics vs. informetrics; Bradford, Lotka, and Zipf laws; database biases; precise retrieval from Scopus and Web of Science and cleaning with Bibliometrix in R and Python pandas.

• 02

  Module 2 — Performance Metrics & Author-Level Analysis

  0 lessons
• 03

  Module 3 — Network Analysis, Visualization & Publication

  0 lessons