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 Alister G. Burr sits on this spectrum.
This scientist: 431 publications — 78th percentile
78% 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 Alister G. Burr sits on this spectrum.
This scientist: 31 D-Index — 6th percentile
6% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Alister G. Burr is affiliated with the University of York in the United Kingdom. Their research spans across the fields of engineering and computer science, with a focus on electrical and electronic engineering and computer networks and communications. The primary areas of investigation include advanced MIMO systems optimization, cooperative communication and network coding, energy harvesting in wireless networks, and PAPR reduction in OFDM.
Their research output includes work on advanced wireless communication techniques, full-duplex wireless communications, and other advanced wireless communication technologies. Frequent co-authors in their research include Kanapathippillai Cumanan, David Grace, Yahya Jasim Harbi, Pei Xiao, and Sumaila Mahama.
Recent publications demonstrate a thematic focus on cell-free massive MIMO systems, spectral and energy efficiency, and optimization algorithms. Selected recent papers include:
Their work has been published in a variety of venues, with nine papers in arXiv (Cornell University), three publications in IEEE Wireless Communications Letters, and contributions in IEEE Open Journal of the Communications Society, IEEE Transactions on Wireless Communications, and IEEE Journal on Selected Areas in Communications.
Alister G. Burr's research addresses technical challenges in wireless communications, focusing on performance optimization and resource allocation relevant to modern communication networks. Their exploration of machine learning techniques in massive MIMO uplinks reflects an integration of artificial intelligence approaches within the engineering domain.
In recognition of their contributions, they were awarded the Hellman Fellowship in 2010.
P. Almers;E. Bonek;A. Burr;N. Czink
Yong Xi;A Burr;JiBo Wei;D Grace
Alister Burr
Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Merouane Debbah
A.G. Burr
Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Hien Quoc Ngo
David Grace;N. E. Daly;Tim C. Tozer;Alister G. Burr
Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Hien Quoc Ngo
Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Hien Quoc Ngo
A. Burr
Faezeh Alavi;Kanapathippillai Cumanan;Zhiguo Ding;Alister G. Burr
Manijeh Bashar;Ali Akbari;Kanapathippillai Cumanan;Hien Quoc Ngo
Li Zhang;A.G. Burr
Manijeh Bashar;Hien Quoc Ngo;Kanapathippillai Cumanan;Alister G. Burr
J. Sykora;A. Burr
Haitham Moffaqq Al-Obiedollah;Kanapathippillai Cumanan;Jeyarajan Thiyagalingam;Alister G. Burr
Faezeh Alavi;Kanapathippillai Cumanan;Zhiguo Ding;Alister G. Burr
Manijeh Bashar;Kanapathippillai Cumanan;Alister G. Burr;Hien Quoc Ngo
F.-C. Zheng;A.G. Burr
A.G. Burr;D.M.W. Reed;P.A. Brown
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