Introduction

Bibliometrics and Scientometrics are at the forefront of research evaluation and knowledge management in today’s data-driven academic and scientific environment. Bibliometrics and Scientometrics Training Course is designed to equip researchers, librarians, policy analysts, and academic leaders with advanced skills in research analytics, publication impact assessment, and data-driven decision-making. Participants will explore the latest tools, databases, and methodologies to measure scholarly productivity, map research trends, and optimize institutional and individual research performance.

This course integrates hands-on exercises, real-world case studies, and interactive workshops, ensuring participants gain practical expertise in citation analysis, research mapping, and bibliometric indicators. By the end of the program, learners will be proficient in leveraging scientometric techniques to enhance research visibility, monitor emerging scientific trends, and contribute to strategic research planning. This comprehensive approach makes the course invaluable for anyone aiming to excel in research management, academic evaluation, and policy-making.

Programme Curriculum

Bibliometrics and Scientometrics Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand fundamental concepts of bibliometrics and scientometrics.
Analyze research performance using citation and publication metrics.
Apply advanced bibliometric tools like Scopus, Web of Science, and Google Scholar.
Conduct co-authorship, co-citation, and co-occurrence network analyses.
Develop research trend mapping and forecasting skills.
Evaluate journal impact using JIF, SJR, CiteScore, and SNIP.
Optimize researcher visibility through h-index, g-index, and altmetrics.
Apply bibliometric indicators for institutional ranking and research assessment.
Integrate data visualization techniques for scientometric reporting.
Conduct systematic literature reviews with bibliometric support.
Design and implement data-driven research strategies.
Explore emerging trends in open science, research collaboration, and AI in bibliometrics.
Develop actionable insights for policy-making, funding allocation, and academic planning.

Target Audience

Academic researchers and faculty members
University librarians and knowledge managers
Research administrators and coordinators
Policy analysts and government research bodies
PhD scholars and postgraduate students
Research funding agencies
Data scientists and scientometric analysts
Open science and research evaluation specialists

Course Modules

Module 1: Introduction to Bibliometrics and Scientometrics

Definition, history, and scope of bibliometrics and scientometrics
h-index, g-index, impact factor
Differences between qualitative and quantitative research assessment
Case study: Mapping top-cited research in AI
Emerging trends in research evaluation

Module 2: Bibliometric Databases and Tools

Overview of Scopus, Web of Science, Google Scholar, Dimensions
Hands-on database search and data export
Introduction to bibliometric software
Case study: Institutional publication analysis using Scopus
Limitations and challenges of bibliometric databases

Module 3: Citation Analysis and Metrics

Citation counting and normalization techniques
Journal metrics
Author-level metrics
Case study: Comparative citation analysis of top researchers
Interpreting metrics for research evaluation

Module 4: Co-authorship and Collaboration Networks

Mapping research collaborations using network analysis
International and institutional collaboration trends
VOSviewer and Gephi for co-authorship mapping
Case study: Collaboration patterns in COVID-19 research
Understanding the influence of collaboration on research impact

Module 5: Co-citation and Bibliographic Coupling

Concept and applications of co-citation analysis
Bibliographic coupling to identify research clusters
Visualizing knowledge structures and research fronts
Case study: Co-citation network in renewable energy research
Implications for literature review and strategic research planning

Module 6: Research Trend Analysis and Forecasting

Identifying emerging topics using bibliometric techniques
Keyword co-occurrence and thematic mapping
Trend visualization with Bibliometrix and VOSviewer
Case study: Forecasting AI research directions 2023–2026
Integrating trend analysis into research strategy

Module 7: Research Assessment and Institutional Ranking

Using bibliometrics for performance evaluation
Benchmarking institutions and research groups
Metrics for funding allocation and policy decisions
Case study: University ranking and strategic insights
Best practices in responsible research assessment

Module 8: Practical Applications and Policy Insights

Translating bibliometric insights into actionable decisions
Reporting and visualization for stakeholders
Applications in open science and research management
Case study: Policy formulation for national research priorities
Future of scientometrics with AI and big data

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Research impact analysis Citation metrics Publication trends Academic evaluation

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000