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 Mung Chiang sits on this spectrum.
This scientist: 479 publications — 92nd percentile
92% 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 Mung Chiang sits on this spectrum.
This scientist: 88 D-Index — 95th percentile
95% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Mung Chiang is affiliated with Purdue University West Lafayette in the United States and has made significant contributions to the field of computer science. Their research spans multiple subfields, notably artificial intelligence, computer networks and communications, and electrical and electronic engineering. The scientist's work also addresses areas such as computer vision and pattern recognition, as well as intersections with sociology and political science.
The primary topics of their research include privacy-preserving technologies in data, age of information optimization, stochastic gradient optimization techniques, and IoT and edge/fog computing. Additional topics explored involve cooperative communication and network coding, adversarial robustness in machine learning, and advanced MIMO systems optimization.
Mung Chiang has published extensively, with a strong presence in venues such as arXiv (Cornell University), IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine, IEEE Transactions on Mobile Computing, and IEEE/ACM Transactions on Networking.
The scientist's collaborative history includes frequent co-authors such as Christopher G. Brinton, Seyyedali Hosseinalipour, Kwang Taik Kim, David J. Love, and Prateek Mittal.
Recognition for their work is reflected in several awards. These include being named Fellow of the National Academy of Inventors in 2020, Fellow of the John Simon Guggenheim Memorial Foundation in 2014, and the National Science Foundation Alan T. Waterman Award in 2013 for contributions to computer science. In 2012, Mung Chiang received the IEEE Kiyo Tomiyasu Award for demonstrating the practicability of a new theoretical foundation for the analysis and design of communication networks.
Mung Chiang;Tao Zhang
D.P. Palomar;Mung Chiang
Mung Chiang;S.H. Low;A.R. Calderbank;J.C. Doyle
Minlan Yu;Yung Yi;Jennifer Rexford;Mung Chiang
M. Chiang;Chee Wei Tan;D.P. Palomar;D. O'Neill
Mung Chiang
L. Chen;S. H. Low;M. Chiang;J. C. Doyle
Mung Chiang
Mung Chiang;Prashanth Hande;Tian Lan;Chee Wei Tan
Tian Lan;David Kao;Mung Chiang;Ashutosh Sabharwal
Joe Wenjie Jiang;Tian Lan;Sangtae Ha;Minghua Chen
Ehsan Aryafar;Mohammad Amir Khojastepour;Karthikeyan Sundaresan;Sampath Rangarajan
Carlee Joe-Wong;Soumya Sen;Tian Lan;Mung Chiang
D.P. Palomar;Mung Chiang
Sangtae Ha;Soumya Sen;Carlee Joe-Wong;Youngbin Im
F. Meshkati;Mung Chiang;H.V. Poor;S.C. Schwartz
Jianwei Huang;Zhu Han;Mung Chiang;H.V. Poor
Christopher G. Brinton;Mung Chiang;Shaili Jain;Henry Lam
D. Julian;Mung Chiang;D. O'Neill;S. Boyd
Soumya Sen;Carlee Joe-Wong;Sangtae Ha;Mung Chiang
Francesco Croce;Maksym Andriushchenko;Vikash Sehwag;Edoardo Debenedetti
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