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 Mor Harchol-Balter sits on this spectrum.
This scientist: 246 publications — 61st percentile
61% 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 Mor Harchol-Balter sits on this spectrum.
This scientist: 56 D-Index — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Mor Harchol-Balter is affiliated with Carnegie Mellon University in the United States. Their research spans multiple fields including computer science, engineering, and business, management and accounting. The scientist has produced significant work in subfields such as management information systems, computer networks and communications, electrical and electronic engineering, information systems, and hardware and architecture.
The main topics of Mor Harchol-Balter's research include advanced queuing theory analysis, advanced wireless network optimization, cloud computing and resource management, optimization and search problems, parallel computing and optimization techniques, scheduling and optimization algorithms, and distributed and parallel computing systems.
Notable recent publications include:
Frequent co-authors in their research include Isaac Grosof, Alan Scheller-Wolf, Ziv Scully, Weina Wang, and Benjamin Wagner vom Berg.
Mor Harchol-Balter has published extensively in various venues, with a high number of contributions in ACM SIGMETRICS Performance Evaluation Review, arXiv (Cornell University), Proceedings of the ACM on Measurement and Analysis of Computing Systems, Queueing Systems, and Performance Evaluation.
Among their book publications, Mor Harchol-Balter authored "Introduction to Probability for Computing," published by Cambridge University Press in 2023.
In recognition of their work, they received the ACM Fellow award in 2017 for contributions to performance modeling and analysis of distributed computing systems.
Mor Harchol-Balter
Anshul Gandhi;Mor Harchol-Balter;Rajarshi Das;Charles Lefurgy
Mor Harchol-Balter;Allen B. Downey
Yoongu Kim;Dongsu Han;Onur Mutlu;Mor Harchol-Balter
Yoongu Kim;Michael Papamichael;Onur Mutlu;Mor Harchol-Balter
Nikhil Bansal;Mor Harchol-Balter
Mor Harchol-Balter;Bianca Schroeder;Nikhil Bansal;Mukesh Agrawal
Mor Harchol-Balter;Mark E. Crovella;Cristina D. Murta
Anshul Gandhi;Mor Harchol-Balter;Ram Raghunathan;Michael A. Kozuch
Bianca Schroeder;Adam Wierman;Mor Harchol-Balter
Mark E. Crovella;Robert Frangioso;Mor Harchol-Balter
Anshul Gandhi;Varun Gupta;Mor Harchol-Balter;Michael A. Kozuch
Mor Harchol-Balter
Mor Harchol-Balter;Tom Leighton;Daniel Lewin
Muhammad Tirmazi;Adam Barker;Nan Deng;E. Haque
Varun Gupta;Mor Harchol Balter;Karl Sigman;Ward Whitt
Mor Harchol-Balter;Allen B. Downey
Mor Harchol-Balter;Mark E. Crovella
Bianca Schroeder;Mor Harchol-Balter
Unknown
Mark E. Crovella;Mor Harchol-Balter;Cristina D. Murta
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