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
- Lunar-Derived Propellants for Fueling Mars-Bound Spacecraft in Cis-Lunar Space
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- Influence of Polycarboxylate Superplasticizer on the Calorimetric and Physicomechanical Properties of Mortar
- Accessible H2O on Mars – A Critical Review of Current Knowledge
- A Unified Mobility Model for Semiconductor Devices and Sensors, Including Surface Hydrodynamic Viscosity
- Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
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