BIBLIOMETRIC LITERATURE REVIEW
The term Statistical Bibliography was first used by E. Wyndham Hulme in 1922 while delivering lectures at the University of Cambridge. Over time, the term Bibliometrics has evolved, which simply refers to statistical analysis of bibliography information of published manuscripts and documents. In recent year with the development of sophisticated software tools and new bibliometrics measures, we can do much more than only citation analysis. After taking this course you will have knowledge of most common bibliometric analysis methods (e.g. co-citation, bibliographic coupling) and softwares (e.g. VosViewer, Biblioshiny). The course is designed for PhD students, post-doctoral fellows, researchers and young faculty members interested in bibliometric literature review analysis. Highly motivated Master students may attend. The course has seven modules:
- Introduction to Bibliometric Literature Reviews
- Planning A Bibliometric Literature Review
- Bibliometric Metrics and Algorithms
- Bibliography Data Extraction
- Bibliometric Analysis using VosViewer
- Bibliometric Analysis using CiteSpace
- Bibliometric Analysis using Biblioshiny
Prof. Dr. Ilan Alon (PhD, Kent State University, USA) is Professor of Strategy and International Marketing at the University of Agder. Prior to that he also had research positions at Harvard University, Georgetown University (USA) and University of International Business and Economics (China). Alon is a researcher in the field of international business with a focus on internationalization, modes of entry, political risk, cultural intelligence and emerging markets. Ilan Alon publications have appeared in the Harvard Business Review, Management International Review, International Business Review, Journal of International Marketing, International Marketing Review and others. His books were published by Palgrave, Routledge, McGraw-Hill among other imprints. In addition to being a professor, Alon is the Head of International Affairs for the School of Business and Law at the University of Agder and leader of the Emerging Markets research group. He is also Editor-in-Chief of the International Journal of Emerging Markets and the European Journal of International Management. Ilan Alon has worked with government bodies, non-profit organizations, multinational companies and international association on various projects ranging from capacity development at the macro level to international business development at the firm or project level. Clients include USAID, illy, Darden, Disney, and others.
Assoc. Prof. Dr. Ziaul Haque Munim (PhD, University of Agder, Norway) is Associate Professor of Maritime Logistics at the University of South-Eastern Norway. He pursued PhD degree in International Management from the University of Agder, and M.Sc in Supply Chain Management from the Vienna University of Economics and Business. His main research interests include maritime economics and logistics, forecasting, supply chain management and research methods. He has extensive training in Global Transport Challenges from the University of Oxford and, in Structural Equation Modelling from the University of Cambridge and the University of Oslo. Dr Munim received the Palgrave Macmillan Best Paper Award at the IAME 2016 in Hamburg and, the KLU Young Researcher Best Paper Award at the IAME 2018 in Mombasa. He authored several studies using bibliometric analysis tools and techniques. His publications have appeared in leading journals such as Journal of Business Research, Asia Pacific Journal of Management, Resources, Conservation & Recycling, and others. He serves as a Senior Editor in the International Journal of Emerging Markets and a Co-Editor in the Maritime Economist magazine.
Participants receives course completion certificate from Research HUB upon finishing all lectures and MCQ tests within 01 to 30 weeks from the enrollment date.
THE COURSE INCLUDES
- 46 on-demand lectures.
- Lecture slides.
- Software manuals.
- Literature review matrix (excel template).
- MCQ test for assessment (+ 2 retake).
- 30 minutes ZOOM consultation with the instructors.
- Lifetime access to course resources and updates.
PARTICIPANT FEEDBACK ON THE COURSE
Thank you very much for the course and all the support! It was a very enlightening experience for me. It is also the best course that I have attended so far. (PhD Candidate, University of Stavanger)
Everything about the course in my opinion was valuable. e.g. the videos, and the supporting learning materials. The professors were very supportive and were indeed experts in the field. (PhD Candidate, University of Vaasa)
Here you can see the list of some of the published studies by our students and network. See Payment Options here.
The course contents are subject to copyright. Unauthorized distribution of the course contents will lead to legal actions by Research HUB. The enrolled participants will have lifetime access to the course materials and any future updates. For institutional subscription, contact us at email@example.com.
Introduction to Bibliometric Reviews
- Welcome to the Bibliometric Literature Review course
- An Overview of What, Why and How in Bibliometrics
- Understanding Individual Level Bibliometrics and the Scientific Ecosystem
- How Does Bibliometrics Work and Caveats of Bibliometric Reviews
- Publishing Literature Reviews (Part 1)
- Publishing Literature Reviews (Part 2: Read and build your literature review matrix)
- Publishing Literature Reviews (Part 3: Elements of a good bibliometric literature review)
- Making Contributions in Bibliometric Literature Reviews (Part 1 & 2)
- Making Contributions in Bibliometric Literature Reviews (Part 3)
- Key Questions to Ask Yourself
Planning A Bibliometric Literature Review
Bibliometric Metrics and Algorithms
- Bibliometric Metrics and Algorithms (Part 1: Citation Metrics)
- Bibliometric Metrics and Algorithms (Part 2: Indices)
- Bibliometric Metrics and Algorithms (Part 3: Network Metrics)
- Bibliometric Metrics and Algorithms (Part 4: Lotka’s & Bradford’s Law)
- Bibliometric Metrics and Algorithms (Part 5: Clusterting Algoritms)
- BLR MCQ 1
Bibliography Data Extraction
- Extract Bibliography Data from Web of Science (Part 1: Broad to Narrow Search)
- Extract Bibliography Data from Web of Science (Part 2: Narrow to Broad Search)
- Define Keywords for Bibliography Data Extraction from Iterative Analysis
- Extract Bibliography Data from SCOPUS Database
- Extract Bibliography Data from DIMENSIONS Database
- Journal Focused Bibliography Data Extraction
- Authors Focused Bibliography Data Extraction
- Impactful or Founding Article Focused Bibliography Data Extraction
- Theory or Method Focused Bibliography Data Extraction
- The PRISMA Flow Diagram
Bibliometric Analysis using VosViewer
Bibliometric Analysis using CiteSpace
Bibliometric Analysis using Biblioshiny
- Install Bibliometrix-Biblioshiny
- Biblioshiny (Part 1: Bibliometrics using Biblioshiny)
- Biblioshiny (Part 2: Three-fields-plot)
- Biblioshiny (Part 3: Dynamic Co-citation)
- Biblioshiny (Part 4: Understanding bibliometrix syntex for database combination)
- Biblioshiny (Part 5: WOS and SCOPUS combination example)