From Zero to Published Research Paper
Master R Biblioshiny & VOSviewer | Step-by-Step Guide for Beginners
|
Mahbub Hassan 🏛️ Chulalongkorn University |
This is the most comprehensive, beginner-friendly guide to bibliometric analysis available online. Whether you're a Master's student, PhD researcher, or academic professional, this interactive course will take you from absolute beginner to publishing your first bibliometric paper.
| Feature | Description |
|---|---|
| 🎯 Zero to Hero | No prior knowledge required |
| 🎨 Beautiful UI | Modern, Chula-themed interface |
| 📊 Complete Tools | R Biblioshiny + VOSviewer |
| 💻 Ready-to-Use | Code templates included |
| 📝 Publication-Ready | Q1 journal standards |
| 🆓 100% Free | MIT Licensed, open source |
# Simply open index.html in your browser
# Works offline, no setup needed!- Download or clone this repository
- Open
index.htmlin any modern browser - Start with Module 1: Introduction
- Follow the interactive lessons
# For R Analysis
1. Install R and RStudio
2. Open templates/biblioshiny_scripts/complete_analysis_template.R
3. Modify for your data
4. Run and generate results!What You'll Learn:
- Understanding bibliometric analysis fundamentals
- Key concepts: citations, co-citation, bibliographic coupling
- Types of bibliometric studies
- Real-world applications in research
- When to use bibliometric methods
Duration: 1-2 hours
What You'll Learn:
- Designing effective search queries with Boolean operators
- Web of Science: Complete navigation guide
- Scopus: Step-by-step data export
- Data quality assurance and validation
- Common pitfalls and how to avoid them
Duration: 2-3 hours
Hands-On Practice: Sample search queries provided
What You'll Learn:
- R and Biblioshiny installation (Windows/Mac/Linux)
- Data import and conversion
- Descriptive statistics generation
- Performance analysis (most cited papers, authors, journals)
- Temporal trend analysis
- Keyword co-occurrence networks
- Thematic mapping and evolution
- Network visualization techniques
Duration: 4-6 hours
Deliverables: 20+ publication-quality tables and plots
What You'll Learn:
- VOSviewer installation and setup
- Network construction from bibliographic data
- Co-citation analysis techniques
- Bibliographic coupling
- Co-authorship networks (authors, countries, institutions)
- Keyword co-occurrence visualization
- Advanced customization and styling
- Exporting high-resolution figures
Duration: 3-4 hours
Deliverables: Professional network visualizations
What You'll Learn:
- Standard bibliometric paper structure
- PRISMA guidelines for systematic reviews
- Reporting best practices
- Interpreting and discussing results
- Journal selection strategies
- Submission process tips
Duration: 2-3 hours
Resources: Paper templates and examples
What You'll Get:
- Complete R code templates
- Sample datasets for practice
- Bibliometric cheat sheets
- Visualization style guides
- PRISMA diagram templates
- Manuscript templates
File: templates/biblioshiny_scripts/complete_analysis_template.R
Features:
- ✅ 21 analysis sections
- ✅ Automatic generation of 20+ statistical tables
- ✅ Creation of 15+ publication-quality plots
- ✅ All major bibliometric analyses included
- ✅ Comprehensive inline documentation
- ✅ Export data for VOSviewer
- ✅ Generates summary reports
What It Does:
✓ Data import (WoS, Scopus, PubMed)
✓ Descriptive statistics
✓ Annual production trends
✓ Most cited papers/authors/journals
✓ Author productivity over time
✓ H-index calculations
✓ Country analysis and collaboration
✓ Keyword analysis and trends
✓ Co-occurrence networks
✓ Co-citation analysis
✓ Bibliographic coupling
✓ Author collaboration networks
✓ Thematic mapping
✓ Thematic evolution
✓ Conceptual structure (MCA)
✓ Historiograph
✓ Three-field plots
✓ And much more!Bibliometric-Analysis-by-Mahbub/
│
├── 📄 index.html # ⭐ Main interactive course
├── 📄 README.md # This file
├── 📄 GETTING_STARTED.md # Quick start guide
├── 📄 PROJECT_SUMMARY.md # Project overview
├── 📄 LICENSE # MIT License
│
├── 📁 templates/ # Code templates
│ ├── 📁 biblioshiny_scripts/
│ │ └── complete_analysis_template.R
│ ├── 📁 vosviewer_guides/
│ └── 📁 paper_templates/
│
├── 📁 examples/ # Sample data
│ └── 📁 sample_data/
│ ├── sample_wos.txt
│ └── sample_scopus.csv
│
└── 📁 resources/ # Reference materials
├── 📁 cheat_sheets/
│ └── biblioshiny_quick_reference.md
├── 📁 video_tutorials/
└── 📁 recommended_readings/
Requirements:
- ✅ Any modern web browser (Chrome, Firefox, Safari, Edge)
- ✅ No installation needed
- ✅ Works completely offline
Requirements:
# Required Software
- R (version 4.0 or higher)
- RStudio (recommended but optional)
# R Package
install.packages("bibliometrix")
library(bibliometrix)
biblioshiny() # Launch web interfaceDownload Links:
Requirements:
- Java Runtime Environment (JRE 8 or higher)
- VOSviewer software (free download)
Download Links:
- Java: https://www.java.com/download/
- VOSviewer: https://www.vosviewer.com/download
Access Needed:
- Web of Science (institutional access) - Recommended
- Scopus (institutional access)
- Alternative: Google Scholar (limited functionality)
For Chulalongkorn Students: Access via: https://www.car.chula.ac.th/ → Databases
- 🚗 Electric vehicle adoption patterns
- 🚦 Traffic safety research trends
- 🏙️ Smart city transportation systems
- 🌱 Sustainable mobility solutions
- 🚌 Public transit optimization
- 🤖 Machine learning applications
- 🌍 Climate change research
- 💊 Public health studies
- 🧠 Artificial intelligence
- 🏗️ Civil engineering topics
Upon completing this course, you will be able to:
✅ Understand bibliometric analysis principles and applications
✅ Design effective search queries for literature retrieval
✅ Collect high-quality bibliographic data from major databases
✅ Perform comprehensive analysis using R Biblioshiny
✅ Create professional network visualizations with VOSviewer
✅ Interpret bibliometric results correctly and meaningfully
✅ Write and structure a bibliometric research paper
✅ Publish your analysis in academic journals
1. Define research question
2. Design search query:
TS=("electric vehicle*" OR "EV" OR "battery electric")
AND TS=("adoption" OR "acceptance")
3. Search Web of Science
4. Export 500 documents with full records
1. Import data into Biblioshiny
2. Generate descriptive statistics
3. Identify most cited papers
4. Analyze publication trends
1. Create keyword co-occurrence network
2. Generate co-citation network
3. Build collaboration networks
4. Visualize in VOSviewer
1. Thematic mapping
2. Thematic evolution over time
3. Trend analysis
4. Conceptual structure mapping
1. Structure manuscript
2. Insert visualizations
3. Write interpretations
4. Prepare for submission
- 🎨 Beautiful Chula-themed design (Pink, Purple, Gold)
- 📱 Responsive layout (works on mobile, tablet, desktop)
- 🔄 Expandable sections for easy navigation
- ⚡ Smooth animations and transitions
- 🎯 Progress tracking
- 💡 Interactive code examples
- 📚 6 complete modules
- 🔢 150+ step-by-step instructions
- 💻 50+ code examples
- 📊 30+ visualization techniques
- 🎓 20+ real-world examples
- 📝 Publication guidelines
- ✅ Copy-paste R code templates
- ✅ Automated analysis workflows
- ✅ Professional visualization styles
- ✅ Q1 journal quality standards
- ✅ Reproducible research practices
- ✅ Open science principles
Contributions are welcome! Here's how you can help:
- 🐛 Report bugs or issues
- 💡 Suggest new features or improvements
- 📝 Improve documentation
- 🌍 Translate content to other languages
- 📊 Add example datasets
- 🎨 Enhance visualizations
- 📚 Share your use cases
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Master's Student in Civil Engineering (Transportation)
Chulalongkorn University, Bangkok, Thailand
This project is licensed under the MIT License - see the LICENSE file for details.
What this means:
- ✅ Free to use for any purpose
- ✅ Modify and distribute freely
- ✅ Use in commercial projects
- ✅ No warranty provided
Special thanks to:
- 🏛️ Chulalongkorn University - Institutional support and resources
- 🎓 Faculty of Engineering - Research facilities and guidance
- 👨🏫 Department of Civil Engineering - Academic mentorship
- 📦 R bibliometrix team - Excellent open-source package
- 🕸️ VOSviewer developers - Powerful visualization tool
- 🌍 Open Science Community - Knowledge sharing and collaboration
- 📚 GitHub Community - Feedback and contributions
If you use this course in your research or teaching, please cite:
@misc{hassan2025bibliometric,
author = {Hassan, Mahbub},
title = {Complete Bibliometric Analysis Guide: From Zero to Published},
year = {2025},
institution = {Chulalongkorn University},
address = {Bangkok, Thailand},
howpublished = {\url{https://github.com/mahbubchula/Bibliometric-Analysis-by-Mahbub}},
note = {Master's thesis research materials}
}APA Style:
Hassan, M. (2025). Complete Bibliometric Analysis Guide: From Zero to Published.
Chulalongkorn University. https://github.com/mahbubchula/Bibliometric-Analysis-by-Mahbub
If you find this course helpful, please consider:
- ⭐ Starring this repository
- 🔄 Sharing with your colleagues
- 📢 Recommending to your students
- 💬 Providing feedback via issues
- 🤝 Contributing improvements
| Resource | Link |
|---|---|
| 📖 Start Course | Open index.html |
| 🚀 Quick Start Guide | GETTING_STARTED.md |
| 📋 Project Summary | PROJECT_SUMMARY.md |
| 💻 R Template | complete_analysis_template.R |
| 📝 Cheat Sheet | biblioshiny_quick_reference.md |
| 🐛 Report Issues | GitHub Issues |
| 📧 Contact Me | mahbub.hassan@ieee.org |
- ✨ Initial public release
- 📚 Complete 6-module interactive course
- 💻 Full R Biblioshiny analysis template
- 🎨 Beautiful Chula-themed user interface
- 📖 Comprehensive documentation
- 🔧 Sample datasets and examples
- 📋 Quick reference cheat sheets
- Add video tutorials for each module
- Create Python alternative using pybliometrics
- Include more domain-specific examples
- Add interactive quizzes and assessments
- Develop mobile app version
- Translate to Thai language
- Add advanced visualization techniques
- Create case study database
Made with ❤️ by Mahbub Hassan
Master's Student | Civil Engineering (Transportation)
Chulalongkorn University | Bangkok, Thailand
"Empowering researchers through systematic bibliometric analysis"
Last Updated: January 2025
License: MIT
Status: Active Development ✨