About
Advance Your Forestry Research with IgMin Research
Forests play a crucial role in sustaining ecosystems, biodiversity, and climate resilience. At IgMin Research, we welcome global researchers and professionals to contribute to our forestry journal through impactful forestry journal submissions. Whether you are exploring sustainable forest management, biodiversity preservation, or climate-forest interactions, our open-access platform ensures wide visibility and fast-tracked peer review.
Our journal provides a trusted space for forestry research publishing, helping authors reach international audiences and make meaningful contributions to environmental science.
Here’s how to get started:
- Quick Submission: Submit your article easily through our one-step online form.
- Manuscript Guidelines: Review essential formatting and structural instructions before submission.
- Submit Forestry Article: Share your work with the global forestry research community.
Join us in advancing forestry knowledge and promoting sustainable practices for future generations.
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
- Synergistic Assessment of Supplementation of Ascorbic Acid and Massularia acuminata Extracts on Serum Electrolyte and Lipid Profile Indices of Dyslipidemia in Adult Wistar Rats Exposed to Aluminum Chloride Toxicity
- Clustering of Three-dimensional (3-D) Objects by Means of Phase- only Digital Holographic Information using Machine Learning
- Trend of SO2 Gas Dry Deposition in Vietnam
- Effect of Rainfall on Water Parameters in Recreational Lakes in Heidelberg, Germany
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Exploring Upper Limb Kinematics in Limited Vision Conditions: Preliminary Insights from 3D Motion Analysis and IMU Data
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