A comprehensive, hands-on guide to the quantitative study of scientific literature through citation patterns, keyword co-occurrences, and collaboration networks. Written by the creators of bibliometrix, this book bridges the gap between methodological rigor and practical accessibility.
Massimo Aria & Corrado Cuccurullo
University of Naples Federico II • University of Campania Luigi Vanvitelli
Every year, millions of scientific articles are published across thousands of journals. How can researchers navigate this ocean of knowledge, identify the most influential works, and uncover the hidden structures that shape a scientific field?
Science Mapping Analysis provides a comprehensive, hands-on guide to the quantitative study of scientific literature through citation patterns, keyword co-occurrences, and collaboration networks. Written by the creators of bibliometrix — the most widely adopted open-source bibliometric tool — this book bridges the gap between methodological rigor and practical accessibility.
Organized around the SAAS workflow (Search–Appraisal–Analysis–Synthesis), the eleven chapters take the reader from foundational concepts to advanced techniques. Every method is explained with its theoretical underpinnings and demonstrated step by step through Biblioshiny, a point-and-click web interface that requires no programming expertise.
A common example runs through all chapters, showing how different techniques illuminate different facets of the same field. Mathematical formulations are included where they clarify the logic; worked examples make every analysis immediately reproducible.
This repository contains everything you need to reproduce every analysis presented in the book.
A shared applied-examples dataset of bibliometric and scientometric articles from Web of Science, available as pre-processed .rdata and raw files
Custom stopword lists and synonym dictionaries used in the content analysis workflows, plus a complete field tag reference for bibliographic databases.
Pre-processed plain-text files for Chapter 11, extracted from two foundational works: Ramos-Rodriguez & Ruiz-Navarro (2004) and Zupic & Cater (2015).
All materials are released under the MIT License. Clone the repository, load the data into Biblioshiny, and follow along chapter by chapter.
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