About
Advancing the Future of Mobility with Vehicle Technology Research
At IgMin Research, we recognize the growing importance of vehicle technology in shaping the future of transportation. Our dedicated automotive research publishing platform invites researchers, engineers, and innovators to submit high-quality work that addresses evolving trends in electric vehicles, autonomous systems, AI in transportation, fuel efficiency, and more.
Whether you're focused on powertrain innovation, vehicular networks, or smart infrastructure integration, we encourage you to submit your vehicle technology research article to our peer-reviewed, open-access journal.
Why Publish with Us?
- Seamless Vehicle Technology Journal Submission
- Clear and detailed Manuscript Guidelines
- Fast-track Submission Portal with global visibility
Join a community that’s transforming transportation through evidence-based research and global collaboration. Publish with IgMin Research to gain recognition, amplify your work, and contribute to meaningful technological advancement.
Editors
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- AFM Analysis of Polymeric Membranes Fouling
- The Lukala Cement Plant's Life Cycle Analysis: Towards a More Sustainable Production
- Exploring Upper Limb Kinematics in Limited Vision Conditions: Preliminary Insights from 3D Motion Analysis and IMU Data
- Assessment of Thermal Uniformity of Heating Plates Using a Thermal Imaging Camera
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
- A Review inside Innovation: AI and Additive Manufacturing for Advanced Bone Scaffold Design
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