Sharif Naser Makhadmeh

Papers

Total Citations

132

H-Index

About

Dr. Sharif Naser Makhadmeh is a leading figure in the development and application of nature-inspired metaheuristic algorithms, with a particular focus on swarm intelligence. His work has significantly advanced the field of optimization, especially through comprehensive surveys and novel algorithmic variants. Dr. Makhadmeh’s highly cited paper, "Recent Versions and Applications of Sparrow Search Algorithm" (2023, 95 citations), provides a critical synthesis of this emerging algorithm’s evolution, while his earlier review, "Recent advances of bat-inspired algorithm, its versions and applications" (2022, 37 citations), similarly catalogues the growth of bat-inspired methods. These contributions have become essential resources for researchers seeking to understand and apply these powerful optimization tools across engineering, data science, and operations research. By systematically mapping algorithmic improvements and real-world applications, Dr. Makhadmeh has helped democratize access to advanced optimization techniques, enabling more efficient solutions to complex problems. His work is characterized by a clear, accessible style that bridges theory and practice, making him a key reference for students and practitioners alike.