World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10468
World Ranking
7458
National Ranking
3250

Murali Kodialam 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 Murali Kodialam 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: 142 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Murali Kodialam 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 Murali Kodialam 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.

Overview

Murali Kodialam is affiliated with Nokia in the United States and has a research focus primarily in computer science, with a strong emphasis on computer networks and communications. Their work spans several subfields including artificial intelligence, computational mechanics, computer vision and pattern recognition, and management science and operations research.

The scientist's research topics cover a range of areas related to networking and computational techniques. Key topics include:

  • Network Traffic and Congestion Control
  • Software-Defined Networks and 5G
  • Sparse and Compressive Sensing Techniques
  • Internet Traffic Analysis and Secure E-voting
  • Image and Video Quality Assessment
  • Metaheuristic Optimization Algorithms Research
  • Scheduling and Timetabling Solutions

Murali Kodialam has contributed to a number of research papers published in notable venues. Recent publications include:

  • "Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms," 2021, IEEE Transactions on Network and Service Management
  • "Learning Based Methods for Traffic Matrix Estimation From Link Measurements," 2021, IEEE Open Journal of the Communications Society
  • "MAGNet: Machine Learning Guided Application-Aware Networking for Data Centers," 2021, IEEE Transactions on Cloud Computing
  • "Network Link Weight Setting: A Machine Learning Based Approach," 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Frequent co-authors in their research include:

  • T. V. Lakshman
  • Shenghe Xu
  • Shivendra S. Panwar
  • Sarit Mukherjee
  • Hyunseok Chang

The scientist has published multiple articles in leading venues such as IEEE Open Journal of the Communications Society (with two publications), arXiv (Cornell University) (two publications), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Network and Service Management, and IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.

Best Publications

  • Characterizing the capacity region in multi-radio multi-channel wireless mesh networks

    Murali Kodialam;Thyaga Nandagopal

  • Minimum interference routing with applications to MPLS traffic engineering

    M. Kodialam;T.V. Lakshman

  • Traffic engineering in software defined networks

    Sugam Agarwal;Murali Kodialam;T. V. Lakshman

  • Fast and reliable estimation schemes in RFID systems

    Murali Kodialam;Thyaga Nandagopal

  • Dynamic routing of bandwidth guaranteed tunnels with restoration

    M. Kodialam;T.V. Lakshman

  • Characterizing achievable rates in multi-hop wireless networks: the joint routing and scheduling problem

    Murali Kodialam;Thyaga Nandagopal

  • Minimum interference routing of bandwidth guaranteed tunnels with MPLS traffic engineering applications

    K. Kar;M. Kodialam;T.V. Lakshman

  • Routing for network capacity maximization in energy-constrained ad-hoc networks

    K. Kar;Murali Kodialam;T.V. Lakshman;L. Tassiulas

  • Dynamic routing of locally restorable bandwidth guaranteed tunnels using aggregated link usage information

    M. Kodialam;T.V. Lakshman

  • Detecting network intrusions via sampling: a game theoretic approach

    Murali Kodialam;T.V. Lakshman

  • Integrated dynamic IP and wavelength routing in IP over WDM networks

    M. Kodialam;T.V. Lakshman

  • On power efficient communication over multi-hop wireless networks: joint routing, scheduling and power control

    R. Bhatia;M. Kodialam

  • RATES: a server for MPLS traffic engineering

    P. Aukia;M. Kodialam;P.V.N. Koppol;T.V. Lakshman

  • Characterizing achievable rates in multi-hop wireless mesh networks with orthogonal channels

    Murali Kodialam;Thyaga Nandagopal

  • Scheduling in mapreduce-like systems for fast completion time

    Hyunseok Chang;Murali Kodialam;Ramana Rao Kompella;T. V. Lakshman

  • IPv6 Lookups using Distributed and Load Balanced Bloom Filters for 100Gbps Core Router Line Cards

    H. Song;F. Hao;M. Kodialam;T. V. Lakshman

  • Optimized network traffic engineering using segment routing

    Randeep Bhatia;Fang Hao;Murali Kodialam;T.V. Lakshman

  • Anonymous Tracking Using RFID Tags

    M. Kodialam;T. Nandagopal;Wing Cheong Lau

  • Joint scheduling of processing and Shuffle phases in MapReduce systems

    Fangfei Chen;Murali Kodialam;T. V. Lakshman

  • Online Allocation of Virtual Machines in a Distributed Cloud

    Fang Hao;Murali Kodialam;T. V. Lakshman;Sarit Mukherjee

Frequent Co-Authors

T. V. Lakshman
T. V. Lakshman Nokia (United States)
Sudipta Sengupta
Sudipta Sengupta Amazon (United States)
Shivendra S. Panwar
Shivendra S. Panwar New York University
Rene-Jean Essiambre
Rene-Jean Essiambre Nokia (United States)
Roland Ryf
Roland Ryf Nokia (United States)
Nicolas K. Fontaine
Nicolas K. Fontaine Nokia (United States)
Haoshuo Chen
Haoshuo Chen Nokia Bell Labs
Leandros Tassiulas
Leandros Tassiulas Yale University

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