The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Zahoor Ali Khan sits on this spectrum.
This scientist: 487 publications — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Zahoor Ali Khan sits on this spectrum.
This scientist: 90 D-Index — 97th percentile
97% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Zahoor Ali Khan is affiliated with the Higher Colleges of Technology in the United Arab Emirates and has contributed extensively to research in computer science and engineering. Their work spans several key areas including electrical and electronic engineering, computer networks and communications, artificial intelligence, information systems, and political science and international relations.
Their research topics emphasize energy-efficient wireless sensor networks, network security and intrusion detection, underwater vehicles and communication systems, blockchain technology applications and security, smart grid energy management, electricity theft detection techniques, and water systems optimization.
Among recent publications authored by Zahoor Ali Khan are:
Khan has collaborated frequently with several coauthors, including Nadeem Javaid, Turki Ali Alghamdi, Sheeraz Ahmed, Ashiq Ali Shah, and Muhammad Adil.
Their publications appear often in venues such as:
This scholarly profile reflects a focus on applying machine learning and deep learning techniques to practical problems like energy utilization, smart grid management, and network security in various communication and sensor network contexts. Their interdisciplinary subfields and main topics combine advances in artificial intelligence with network technology and energy systems optimization, addressing both theoretical and applied challenges within engineering and computer science.
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