The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Christopher Leckie sits on this spectrum.
This scientist: 378 publications — 85th percentile
85% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Christopher Leckie sits on this spectrum.
This scientist: 60 D-Index — 78th percentile
78% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Christopher Leckie is affiliated with the University of Melbourne in Australia and has contributed extensively to the field of Computer Science, with a particular focus on Artificial Intelligence. Their research portfolio includes notable work in several subfields such as Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, and Information Systems.
Leckie's scholarly output encompasses a range of topics, including:
Their recent publications demonstrate a focus on the applications of machine learning and network analysis to real-world problems, including fake news detection and quantum-enhanced adversarial robustness. Notable recent papers include:
Leckie has collaborated frequently with several co-authors, including Sarah Erfani, Shanika Karunasekera, Tansu Alpcan, Hadi M. Dolatabadi, and Jeffrey Chan. These collaborations indicate active engagement within a network of researchers focused on machine learning, network security, and related areas.
Their research contributions have been published repeatedly in key venues such as:
Christopher Leckie's work involves various interdisciplinary methods and advanced computational techniques to address challenges in cybersecurity, misinformation, and machine learning robustness. Overall, their research profile reflects a focus on combining theoretical and applied aspects of artificial intelligence and network analysis.
Sarah M. Erfani;Sutharshan Rajasegarar;Shanika Karunasekera;Christopher Leckie
Tao Peng;Christopher Leckie;Kotagiri Ramamohanarao
T. C. Havens;J. C. Bezdek;C. Leckie;L. O. Hall
Chenfeng Vincent Zhou;Christopher Leckie;Shanika Karunasekera
K Leung;C Leckie
Tao Peng;C. Leckie;K. Ramamohanarao
S. Rajasegarar;C. Leckie;M. Palaniswami
S. Rajasegarar;C. Leckie;M. Palaniswami;J.C. Bezdek
Chong Eik Loo;Mun Yong Ng;Christopher Leckie;Marimuthu Palaniswami
Yanxu Zheng;Sutharshan Rajasegarar;Christopher Leckie
Tao Peng;Christopher Leckie;Kotagiri Ramamohanarao
S. Rajasegarar;C. Leckie;M. Palaniswami;J.C. Bezdek
Yi Han;Jeffrey Chan;Tansu Alpcan;Christopher Leckie
Alif Wahid;Christopher Leckie;Chenfeng Zhou
Kwan Hui Lim;Kwan Hui Lim;Jeffrey Chan;Jeffrey Chan;Christopher Leckie;Shanika Karunasekera
S Rajasegarar;C Leckie;J C Bezdek;M Palaniswami
Mahsa Salehi;Christopher Leckie;James C. Bezdek;Tharshan Vaithianathan
Tao Peng;Christopher Leckie;Kotagiri Ramamohanarao
Kwan Hui Lim;Jeffrey Chan;Christopher Leckie;Shanika Karunasekera
Shan Suthaharan;Mohammed Alzahrani;Sutharshan Rajasegarar;Christopher Leckie
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