Bibliometric Analysis Made Easy with Biblioshiny

Bibliometric Analysis Made Easy with Biblioshiny | Step-by-Step Tutorial Using AI & Journalism Dataset Unlock the power of Bibliometric Analysis using Biblioshiny, the user-friendly interface of the Bibliometrix R package. In this tutorial, I take you through a complete step-by-step demonstration using a curated dataset of 545 documents from the Web of Science (WoS) on Artificial Intelligence in Journalism. 🔍 What You Will Learn in This Video: ✅ What is Bibliometric Analysis and why it matters ✅ How to install Bibliometrix in R and RStudio ✅ How to load and clean a dataset from WoS ✅ How to run powerful visual and statistical analyses using Biblioshiny ✅ Interpretation of key outputs: collaboration maps, keyword co-occurrence, thematic evolution, and more 🖥️ Tools Used: R (Statistical Software) RStudio (IDE for R) Bibliometrix Package Biblioshiny Web Interface 📘 Dataset Overview: Source: Web of Science Focus Area: Artificial Intelligence in Journalism Number of Documents: 545 📌 Whether you are a beginner or a research scholar, this video will help you simplify complex bibliometric workflows and gain insights from academic literature quickly and accurately. 🔗 Explore More: Visit my website: https://profusp.com Subscribe for more tutorials on AI, Research Methods and Indian Communication Models #Biblioshiny #BibliometricAnalysis #RStudio #WoS #ResearchTools #DrUSPExplains You can also connect with me: Website: https://profusp.com Facebook:   / profusp   Twitter:   / uspindia   Instagram:   / dr_usp   0:00 Intro 0:48 Bibliometric Analysis 4:42 Web of Science 6:40 Downloading R 7:20 R Studio 8:25 Bibliometrix 11:21 Merging Database 12:57 Biblioshiny Interface 14:12 Importing dataset 15:10 Overview analysis 16:43 Three-field plot 18:45 Sources Analysis 21:32 Authors Analysis 22:45 Lotka's Law 24:18 Affiliations Analysis 27:04 Reference Spectroscopy 28:04 Word Cloud 28:30 Clustering 31:02 Limitations