World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10421
World Ranking
7461
National Ranking
3251

Ramesh K. Sitaraman publication distribution in Computer Science in 2026

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 Ramesh K. Sitaraman sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ramesh K. Sitaraman D-index placement in Computer Science in 2026

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 Ramesh K. Sitaraman sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

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

    S. Shunmuga Krishnan;Ramesh K. Sitaraman

  • BOLA: Near-Optimal Bitrate Adaptation for Online Videos

    Kevin Spiteri;Rahul Urgaonkar;Ramesh K. Sitaraman

  • Globally distributed content delivery

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

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

    Michael Mitzenmacher;Andrea W. Richa;Ramesh Sitaraman

  • A measurement-based analysis of multihoming

    Aditya Akella;Bruce Maggs;Srinivasan Seshan;Anees Shaikh

  • Minimal test collections for retrieval evaluation

    Ben Carterette;James Allan;Ramesh Sitaraman

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

    Kevin Spiteri;Ramesh Sitaraman;Daniel Sparacio

  • Algorithmic Nuggets in Content Delivery

    Bruce M. Maggs;Ramesh K. Sitaraman

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

    Devesh Agrawal;Deepak Ganesan;Ramesh Sitaraman;Yanlei Diao

  • Energy-aware load balancing in content delivery networks

    Vimal Mathew;Ramesh K. Sitaraman;Prashant Shenoy

  • On the Fault Tolerance of Some Popular Bounded-Degree Networks

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

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

    Fangfei Chen;Ramesh K. Sitaraman;Marcelo Torres

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

    Mostafa Dehghan;Anand Seetharam;Bo Jiang;Ting He

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

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

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

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

  • Sharing-aware algorithms for virtual machine colocation

    Michael Sindelar;Ramesh K. Sitaraman;Prashant Shenoy

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

    Michael Zink;Ramesh Sitaraman;Klara Nahrstedt

  • A transport layer for live streaming in a content delivery network

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

  • Overlay Networks: An Akamai Perspective

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

Frequent Co-Authors

Bruce M. Maggs
Bruce M. Maggs Duke University
Prashant Shenoy
Prashant Shenoy University of Massachusetts Amherst
Don Towsley
Don Towsley University of Massachusetts Amherst
Arnold L. Rosenberg
Arnold L. Rosenberg University of Massachusetts Amherst
Abhishek Chandra
Abhishek Chandra University of Minnesota
Richard Cole
Richard Cole New York University
William Aiello
William Aiello University of British Columbia
Theodoros Salonidis
Theodoros Salonidis IBM (United States)
Jim Kurose
Jim Kurose University of Massachusetts Amherst
Sanjay Shakkottai
Sanjay Shakkottai The University of Texas at Austin

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