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 George Kesidis sits on this spectrum.
This scientist: 377 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 George Kesidis sits on this spectrum.
This scientist: 42 D-Index — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
George Kesidis is affiliated with Pennsylvania State University in the United States and specializes primarily in computer science. Their research contributions span multiple interconnected fields of study, including artificial intelligence, computer networks and communications, electrical and electronic engineering, signal processing, and epidemiology.
Their scholarly output includes a wide range of topics such as adversarial robustness in machine learning, anomaly detection techniques and applications, integrated circuits and semiconductor failure analysis, age of information optimization, advanced malware detection techniques, congenital heart disease studies, and atomic and subatomic physics research.
Among their recent papers are the following publications:
Their work frequently appears in specific publication venues including arXiv (Cornell University), Queueing Systems, Computers & Security, ICASSP 2022, and Proceedings of the IEEE.
Kesidis has collaborated extensively with a number of researchers, with frequent co-authors including David J. Miller, Zhen Xiang, Xi Li, Takis Konstantopoulos, and Michael A. Zazanis. These collaborations have resulted in numerous publications contributing to the fields of machine learning security and related areas.
In addition to articles, George Kesidis has published a book titled Adversarial Learning and Secure AI in 2023 through Cambridge University Press.
George Kesidis;Jean Walrand;Cheng-Shang Chang
G. Carl;G. Kesidis;R.R. Brooks;Suresh Rai
Stephane Caron;George Kesidis
David J. Miller;George Kesidis;Jayaram Raghuram
G. de Veciana;G. Kesidis;J. Walrand
David J. Miller;Zhen Xiang;George Kesidis
Ihab Hamadeh;George Kesidis
Youngmi Jin;G. Kesidis
C. Courcoubetis;G. Kesidis;A. Ridder;A. Ridder;J. Walrand
G. Kesidis;A. Singh;D. Cheung;W.W. Kwok
Xiang ji;Hongyuan Zha;J.J. Metzner;G. Kesidis
R. Rao;G. Kesidis
Jean C. Walrand;George Kesidis
G. de Veciana;G. Kesidis
R. Bajcsy;T. Benzel;M. Bishop;B. Braden
A. Hung;G. Kesidis;N. McKeown
Aris Leivadeas;George Kesidis;Mohamed Ibnkahla;Ioannis Lambadaris
Nicholas Weaver;Ihab Hamadeh;George Kesidis;Vern Paxson
G. Kesidis;T. Konstantopoulos;S. Phoha
R. Rao;G. Kesidis
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