The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Maged Elkashlan sits on this spectrum.
This scientist: 303 publications — 58th percentile
58% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Maged Elkashlan sits on this spectrum.
This scientist: 73 D-Index — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Maged Elkashlan is affiliated with Queen Mary University of London in the United Kingdom. Their research spans primarily within the field of Engineering, with a focus on Electrical and Electronic Engineering, Aerospace Engineering, and Computer Networks and Communications among other subfields. The breadth of their work also includes Biomedical Engineering and Ocean Engineering.
The scientist's main research topics include Advanced Wireless Communication Technologies, Advanced MIMO Systems Optimization, Energy Harvesting in Wireless Networks, Wireless Communication Security Techniques, Indoor and Outdoor Localization Technologies, Satellite Communication Systems, and IoT Networks and Protocols.
Regarding frequent collaboration, Maged Elkashlan has coauthored extensively with researchers such as Cunhua Pan, Hong Ren, Tuo Wu, Arumugam Nallanathan, and Yansha Deng.
They have published frequently in venues such as arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Journal on Selected Areas in Communications, and IEEE Transactions on Communications.
Recent papers include:
The scientist's research contributions are characterized by a strong emphasis on wireless communications and related optimization techniques, particularly the role of intelligent reflecting surfaces and MIMO systems within next-generation communication technologies.
Zhiguo Ding;Yuanwei Liu;Jinho Choi;Qi Sun
Yuanwei Liu;Zhijin Qin;Maged Elkashlan;Zhiguo Ding
Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu
Yuanwei Liu;Zhiguo Ding;Maged Elkashlan;H. Vincent Poor
Nan Yang;Lifeng Wang;Giovanni Geraci;Maged Elkashlan
Cunhua Pan;Hong Ren;Kezhi Wang;Jonas Florentin Kolb
Cunhua Pan;Hong Ren;Kezhi Wang;Maged Elkashlan
Dantong Liu;Lifeng Wang;Yue Chen;Maged Elkashlan
Yuanwei Liu;Zhijin Qin;Maged Elkashlan;Yue Gao
Unknown
Tong Bai;Cunhua Pan;Yansha Deng;Maged Elkashlan
Nan Yang;P. L. Yeoh;M. Elkashlan;R. Schober
Yuanwei Liu;Zhiguo Ding;Maged Elkashlan;Jinhong Yuan
Yi Zhou;Cunhua Pan;Phee Lep Yeoh;Kezhi Wang
Yuanwei Liu;Lifeng Wang;Tran Trung Duy;Maged Elkashlan
Yuanwei Liu;Lifeng Wang;Syed Ali Raza Zaidi;Maged Elkashlan
Lifeng Wang;Maged Elkashlan;Jing Huang;Robert Schober
Yuanwei Liu;Zhijin Qin;Maged Elkashlan;Arumugam Nallanathan
Yuanwei Liu;Maged Elkashlan;Zhiguo Ding;George K. Karagiannidis
T. Q. Duong;Daniel Benevides da Costa;M. Elkashlan;Vo Nguyen Quoc Bao
Zhiguo Ding;Yuanwei Liu;Jinho Choi;Qi Sun
Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu
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