Hamid Alinejad-Rokny
Papers
1
Total Citations
2
H-Index
1
About
Hamid Alinejad-Rokny is a researcher whose work spans computational optimization and metaheuristic algorithms, with contributions aimed at advancing intelligent problem-solving methodologies. His notable work includes a comprehensive survey of the Golden Jackal Optimization algorithm, published in 2025, which examines this nature-inspired metaheuristic technique and its diverse real-world applications. This survey reflects his broader interest in bio-inspired computing and the systematic evaluation of emerging optimization frameworks, providing the research community with a consolidated reference for understanding both the theoretical underpinnings and practical utility of such algorithms. While still early in its citation trajectory — having accumulated 2 citations since publication — the survey signals Alinejad-Rokny's commitment to synthesizing complex algorithmic landscapes in an accessible and rigorous manner, a contribution particularly valuable to students and practitioners navigating the rapidly evolving field of computational intelligence. His work positions him as a researcher engaged with cutting-edge optimization strategies, contributing foundational reviews that help shape how newer algorithms are understood, compared, and applied across engineering, data science, and beyond.
Research Focus
Key Achievements
Top Papers
- 1A comprehensive survey of golden jacal optimization and its applications2 citations · 2025