2026 Ramesh K. Sitaraman: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	44	7462	7243	3251	3126	162	10421

Research.com Recognitions

2019 - IEEE Fellow For contributions to content delivery, internet performance, and distributed systems
2019 - ACM Fellow For contributions to content delivery networks, distributed systems, and scalable Internet services

Overview

Ramesh K. Sitaraman is affiliated with the University of Massachusetts Amherst in the United States. Their research contributions primarily fall within the field of Computer Science, with a particular focus on areas such as Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering, and Management Science and Operations Research.

Their work covers multiple specialized topics, including:

Optimization and Search Problems
Cloud Computing and Resource Management
Image and Video Quality Assessment
Advanced Bandit Algorithms Research
Green IT and Sustainability
Caching and Content Delivery
Auction Theory and Applications

Some of the recent papers authored or co-authored by Ramesh K. Sitaraman include:

RL-Cache: Learning-Based Cache Admission for Content Delivery, 2020, published in IEEE Journal on Selected Areas in Communications
Competitive Algorithms for Online Multidimensional Knapsack Problems, 2021, published in Proceedings of the ACM on Measurement and Analysis of Computing Systems
Multi-Day Forecasting of Electric Grid Carbon Intensity Using Machine Learning, 2023, published in ACM SIGEnergy Energy Informatics Review
Online Linear Optimization with Inventory Management Constraints, 2020, published in Proceedings of the ACM on Measurement and Analysis of Computing Systems
BONES: Near-Optimal Neural-Enhanced Video Streaming, 2024, published in Proceedings of the ACM on Measurement and Analysis of Computing Systems

Frequent co-authors with whom Ramesh K. Sitaraman has collaborated include Mohammad Hajiesmaili, Prashant Shenoy, Lin Yang, Diptyaroop Maji, and Ali Zeynali.

Their works appear often in certain academic venues, notably:

arXiv (Cornell University)
Proceedings of the ACM on Measurement and Analysis of Computing Systems
ACM SIGEnergy Energy Informatics Review
ACM SIGMETRICS Performance Evaluation Review
Communications of the ACM

Ramesh K. Sitaraman has received professional recognition as an ACM Fellow and IEEE Fellow, both awarded in 2019. The citations for these honors acknowledge contributions to content delivery networks, distributed systems, scalable Internet services, internet performance, and distributed systems.

Best Publications

The Akamai network: a platform for high-performance internet applications

Erik Nygren;Ramesh K. Sitaraman;Jennifer Sun

1020
Citations
Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs

S. Shunmuga Krishnan;Ramesh K. Sitaraman

1014
Citations
BOLA: Near-Optimal Bitrate Adaptation for Online Videos

Kevin Spiteri;Rahul Urgaonkar;Ramesh K. Sitaraman

877
Citations
Globally distributed content delivery

J. Dilley;B. Maggs;J. Parikh;H. Prokop

841
Citations
The Power of Two Random Choices: A Survey of Techniques and Results

Michael Mitzenmacher;Andrea W. Richa;Ramesh Sitaraman

510
Citations
A measurement-based analysis of multihoming

Aditya Akella;Bruce Maggs;Srinivasan Seshan;Anees Shaikh

352
Citations
Minimal test collections for retrieval evaluation

Ben Carterette;James Allan;Ramesh Sitaraman

294
Citations
From Theory to Practice: Improving Bitrate Adaptation in the DASH Reference Player

Kevin Spiteri;Ramesh Sitaraman;Daniel Sparacio

271
Citations
Algorithmic Nuggets in Content Delivery

Bruce M. Maggs;Ramesh K. Sitaraman

266
Citations
Lazy-Adaptive Tree: an optimized index structure for flash devices

Devesh Agrawal;Deepak Ganesan;Ramesh Sitaraman;Yanlei Diao

214
Citations
Energy-aware load balancing in content delivery networks

Vimal Mathew;Ramesh K. Sitaraman;Prashant Shenoy

196
Citations
On the Fault Tolerance of Some Popular Bounded-Degree Networks

F. Thomson Leighton;Bruce M. Maggs;Ramesh K. Sitaraman

196
Citations
End-User Mapping: Next Generation Request Routing for Content Delivery

Fangfei Chen;Ramesh K. Sitaraman;Marcelo Torres

182
Citations
On the complexity of optimal routing and content caching in heterogeneous networks

Mostafa Dehghan;Anand Seetharam;Bo Jiang;Ting He

169
Citations
A system to place observers on a polyhedral terrain in polynomial time

Maurício Marengoni;Bruce A. Draper;Allen R. Hanson;R. Sitaraman

151
Citations
Adaptsize: orchestrating the hot object memory cache in a content delivery network

Daniel S. Berger;Ramesh K. Sitaraman;Mor Harchol-Balter

147
Citations
Sharing-aware algorithms for virtual machine colocation

Michael Sindelar;Ramesh K. Sitaraman;Prashant Shenoy

139
Citations
Scalable 360° Video Stream Delivery: Challenges, Solutions, and Opportunities

Michael Zink;Ramesh Sitaraman;Klara Nahrstedt

138
Citations
A transport layer for live streaming in a content delivery network

L. Kontothanassis;R. Sitaraman;J. Wein;D. Hong

120
Citations
Overlay Networks: An Akamai Perspective

Ramesh K. Sitaraman;Ramesh K. Sitaraman;Mangesh Kasbekar;Woody Lichtenstein;Manish Jain

119
Citations

Frequent Co-Authors

Bruce M. Maggs Duke University

Prashant Shenoy University of Massachusetts Amherst

Don Towsley University of Massachusetts Amherst

Arnold L. Rosenberg University of Massachusetts Amherst

Richard Cole New York University

Michael Mitzenmacher Harvard University

William Aiello University of British Columbia

Theodoros Salonidis IBM (United States)

Jim Kurose University of Massachusetts Amherst

Sanjay Shakkottai The University of Texas at Austin

External Links

Personal website of Ramesh K. Sitaraman Google Scholar page

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