Focus and Scopes

International Journal of Mathematics and Statistics Research is a peer-reviewed, open-access journal that publishes high-quality research articles in the field of algebra and number theory and applied fields such as mathematical biology and mathematical physics. Statistics research focuses on both classical and Bayesian statistics, data mining, machine learning, and statistical inference for big data, financial mathematics and computational mathematics.

Research Areas Include:

  • Pure Mathematics
  • Algebra
  • Analysis
  • Geometry and Topology
  • Number Theory
  • Logic and Set Theory
  • Applied Mathematics
  • Differential Equations
  • Mathematical Biology
  • Mathematical Physics
  • Computational Mathematics
  • Mathematical Finance
  • Statistical Inference & Machine Learning
  • Statistical Inference
  • Machine Learning
  • Computational Statistics
  • Specific Applications
  • Environmental statistics
  • Econometric modeling
  • Bioinformatics and biostatistics
  • Spatial statistics and environmental modeling
  • Data analysis and data mining
  • Methodological Areas
  • Non-parametric and robust statistics
  • Optimal experimental design
  • Change-point problems

Editorial Team

Editor-in-Chief

Professor Michel Stevenson

Visiting Professor of Mathematics, Stamford International University, Thailand

Associate Editors

Professor Make Smart

Faculty of Mathematics and Natural Science, University of Augsburg, Germany

Professor Shem Aywa

Masinde Muliro University of Science and Technology, Kakamega, Kenya

Professor Matthew Peters

University of Western Sydney, Australia

Professor Aldrin W. Wanambisi

Mount Kenya University, Kakamega, Kenya

Dr. Moawad El-Fallah Abd El-Salam

Zagazig University, Zagazig City, Egypt

Professor Ojiabo Ukoha

Department of Mathematics and Computer Science, University of Maryland Eastern Shore, USA

Professor Vindaka Angleka

Visiting Professor of Computer Science and Mathematics, University of Westminster, UK

Professor Emmanuel Thompson

Southeast Missouri State University, Cape Girardeau, Missouri, USA

Professor Kali Charan Rath

G.I.E.T., Gunupur, India

Dr. Amaresh Das

College of Business, Southern University, New Orleans, USA

Dr. Douglas Yenwon Kparib

Takoradi Technical University, Ghana

Peer Review Process

Double-Blind Peer Review

All manuscripts submitted to International Journal of Mathematics and Statistics Research undergo a rigorous double-blind peer review process to ensure the highest quality of published research.

1. Submission

Author submits manuscript

2. Initial Review

Editorial screening for scope and quality

3. Peer Review

Expert reviewers evaluate manuscript

4. Decision

Editorial decision and publication

Review Timeline
  • Initial Decision: 2–4 weeks after submission
  • Peer Review: 4–6 weeks for reviewer evaluation
  • Final Decision: 6–8 weeks total process time
  • Publication: 2–4 weeks after acceptance

Open Access Policy

International Journal of Mathematics and Statistics Research is committed to providing immediate open access to all published research to promote the global exchange of knowledge.

Benefits of Open Access

  • Free access for all readers worldwide
  • Increased visibility and citations
  • Faster dissemination of research
  • Compliance with funder mandates
  • Broader societal impact

Licensing

All articles are published under the Creative Commons Attribution 4.0 International License, allowing:

  • Share — copy and redistribute
  • Adapt — remix, transform, and build upon
  • Commercial use permitted
  • Attribution required

Article Processing Charges (APC)

Publication Fee

The publication fee for British Journal of Human Resources and Talent Acquisition Research is 100 GBP per accepted article.

This fee is payable only after the manuscript has been accepted for publication.

Editorial Contact

Editorial Office

International Journal of Mathematics and Statistics Research
124 City Road, London, EC1V 2NX. UK

Contact Details

Email: submission@gbjournals.org

Website: https://ijomasr.org

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