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Announcement

We are pleased to announce that submissions for the Special Issue are now open! Researchers and scholars are invited to submit their manuscripts for consideration.

For more details, please visit the ICAC2025 Call for Papers.

Welcome to Baghdad Science Journal, a distinguished publication managed by the College of Science for Women at the University of Baghdad. Since its establishment in 2004 and rebranding in 2009, the journal has upheld a rigorous double-blind peer review process with two external reviewers to ensure scientific integrity and excellence. While authors may suggest potential reviewers or request exclusions, the final decision remains with the editor. Published exclusively in English, the journal operates under the Creative Commons Attribution 4.0 International license, promoting broad accessibility and reuse of its content. Beginning in 2024, it will transition to a monthly publication schedule, encompassing diverse fields such as Biology, Chemistry, Computer Science, Physics, and Mathematics. It accepts various article types, including original studies, editorials, special issue articles, and invited reviews. Indexed in prominent databases like Scopus, WoS, and Google Scholar, the journal guarantees global visibility. The average timeline from submission to acceptance is four months, with articles typically published seven months after acceptance. We welcome contributions that advance the frontiers of science.

Refer to the Aims and Scope for a detailed overview of the journal's coverage.

Current Issue: Volume 23, Issue 4 (2026)

Articles

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Evaluating the Nuclear Structure of Some Calcium Mirror Nuclei
Sukaina Falah Hassan and Ban Sabah Hameed

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Approximate Solution and Simulation for Fractional Burger Equation with Two Initial Conditions
Huda Emad Aldeen Jameel, Fatimah Ahmed Shihab, and Saad Naji Al-Azzawi

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Optimizing K-Nearest Neighbor Based on Dragonfly Algorithm for Diabetes Retinopathy Classification
Ahmed Subhi Abdalkafor, Alaa Abdalqahar Jihad, and Esam Taha Yassen

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Mandibular Landmark Determination Based on Statistical Features of Panoramic Radiograph Images Using Multi-Output Neural Network
Nur Nafiiyah, Agus Harjoko, Kang-Hyun Jo, Rini Widyaningrum, Eha Renwi Astuti, and Alhidayati Asymal

Baghdad Science Journal Journal Cover