Ataturk University at IgMin Research
We focus on accelerating knowledge through shared interdisciplinary collaboration.
| Name | Ataturk University |
| Location | Erzurum, Turkey |
| URL | http://atauni.edu.tr/ |
About University
Atatürk University, established in 1957, is a prominent public research institution located in Erzurum, Turkey. The university's mission is to contribute to regional and national development through high-tech design and innovation, while educating qualified individuals equipped to meet contemporary challenges.
The expansive campus serves as a hub of educational and cultural activity in Eastern Anatolia, housing one of Turkey's largest teaching hospitals, which provides extensive healthcare services to the region. The campus also offers a variety of social and recreational facilities, including theaters, fitness centers, and dining establishments, enriching the student experience.
Atatürk University is recognized globally, ranking #1201-1400 in the QS World University Rankings 2025. The university maintains international collaborations, notably with the University of Nebraska and the Balkan Universities Network, and actively participates in the EU Erasmus program, fostering a vibrant exchange of knowledge and culture.
Articles
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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
- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- Investigation of Lateral Vibrations in Turbine-generator Unit 5 of the Inga 2 Hydroelectric Power Plant
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
- Federated Learning- Hope and Scope
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
