World's Best Scientists 2026 revealed!
Muriel Medard

Muriel Medard

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
82
Citations
41827
World Ranking
444
National Ranking
206

Computer Science

D-Index
82
Citations
43173
World Ranking
929
National Ranking
506

Muriel Medard publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Muriel Medard sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 673 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Muriel Medard D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Muriel Medard sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2020 - Member of the National Academy of Engineering For contributions to the theory and practice of network coding.
  • 2018 - Fellow, National Academy of Inventors

Overview

Muriel Medard is affiliated with MIT in the United States and has contributed extensively to research primarily within the fields of Computer Science and Engineering. Their work spans important subfields such as Electrical and Electronic Engineering, Computer Networks and Communications, and Artificial Intelligence.

The scientist's publication record includes frequent contributions to notable venues such as arXiv (Cornell University) with 74 publications, IEEE Journal on Selected Areas in Information Theory (6 publications), IEEE Transactions on Communications (5 publications), 2022 IEEE International Symposium on Information Theory (ISIT) (5 publications), and IEEE Transactions on Signal Processing (4 publications).

Medard's research covers a range of topics, focusing significantly on Error Correcting Code Techniques, Wireless Communication Security Techniques, Advanced Wireless Communication Techniques, Cooperative Communication and Network Coding, Coding Theory and Cryptography, Privacy-Preserving Technologies in Data, and Cryptography and Data Security.

Frequent collaborators include Ken R. Duffy, Alejandro Cohen, Rafael G. L. D'Oliveira, Homa Esfahanizadeh, and Peihong Yuan, indicating strong professional networks and co-authorship in related disciplines.

Some of their recent papers include:

  • Ordered Reliability Bits Guessing Random Additive Noise Decoding, 2022, IEEE Transactions on Signal Processing
  • Keep the Bursts and Ditch the Interleavers, 2022, IEEE Transactions on Communications
  • Is 5 just what comes after 4?, 2020, Nature Electronics
  • FlEC: Enhancing QUIC With Application-Tailored Reliability Mechanisms, 2022, IEEE/ACM Transactions on Networking
  • Repeat-Free Codes, 2021, IEEE Transactions on Information Theory

Medard's contributions have been recognized through awards such as election to the National Academy of Engineering in 2020 for work on the theory and practice of network coding, and designation as a Fellow of the National Academy of Inventors in 2018.

Best Publications

  • XORs in the air: practical wireless network coding

    Sachin Katti;Hariharan Rahul;Wenjun Hu;Dina Katabi

  • An algebraic approach to network coding

    Ralf Koetter;Muriel Médard

  • A Random Linear Network Coding Approach to Multicast

    T. Ho;M. Medard;R. Koetter;D.R. Karger

  • The benefits of coding over routing in a randomized setting

    T. Ho;R. Koetter;M. Medard;D.R. Karger

  • The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel

    M. Medard

  • On Coding for Reliable Communication over Packet Networks

    Desmond S. Lun;Muriel Medard;Ralf Koetter;Michelle Effros

  • On Randomized Network Coding

    Tracey Ho;Muriel Médard;Jun Shi;Michelle Effros

  • Resilient network coding in the presence of Byzantine adversaries

    S. Jaggi;M. Langberg;S. Katti;T. Ho

  • Minimum-cost multicast over coded packet networks

    Desmond S. Lun;Niranjan Ratnakar;Muriel Médard;Ralf Koetter

  • Toward Interconnected Virtual Reality: Opportunities, Challenges, and Enablers

    Ejder Bastug;Mehdi Bennis;Muriel Medard;Merouane Debbah

  • On Practical Network Coding for Wireless Environments

    D. Katabi;S. Katti;Wenjun Hu;H. Rahul

  • Full length article: On coding for reliable communication over packet networks

    Desmond S. Lun;Muriel MéDard;Ralf Koetter;Michelle Effros

  • Method and apparatus for automatic protection switching

    Muriel Medard;Steven G. Finn;Richard A. Barry;Robert G. Gallager

  • Redundant trees for preplanned recovery in arbitrary vertex-redundant or edge-redundant graphs

    M. Medard;S.G. Finn;R.A. Barry;R.G. Gallager

  • Symbol-level network coding for wireless mesh networks

    Sachin Katti;Dina Katabi;Hari Balakrishnan;Muriel Medard

  • Resilient Network Coding in the Presence of Byzantine Adversaries

    S. Jaggi;M. Langberg;S. Katti;T. Ho

  • Network Coding Meets TCP: Theory and Implementation

    Jay Kumar Sundararajan;Devavrat Shah;Muriel Médard;Szymon Jakubczak

  • Codecast: a network-coding-based ad hoc multicast protocol

    Joon-Sang Park;M. Gerla;D.S. Lun;Yunjung Yi

  • Network deconvolution as a general method to distinguish direct dependencies in networks

    Soheil Feizi;Soheil Feizi;Daniel Marbach;Daniel Marbach;Muriel Médard;Manolis Kellis;Manolis Kellis

  • Achieving minimum-cost multicast: a decentralized approach based on network coding

    D.S. Lun;N. Ratnakar;R. Koetter;M. Medard

  • Proceedings of the 6th International COnference

    Jaudelice de Oliveira;Maximilian Ott;Tim Griffin;Muriel Medard

  • A Random Linear Network Coding Approach to

    Tracey Ho;Muriel Médard;Ralf Koetter;David R. Karger

Frequent Co-Authors

Michelle Effros
Michelle Effros California Institute of Technology
Ralf Koetter
Ralf Koetter Technical University of Munich
Milica Stojanovic
Milica Stojanovic Northeastern University
Joao Barros
Joao Barros University of Porto
Tracey Ho
Tracey Ho California Institute of Technology
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Atilla Eryilmaz
Atilla Eryilmaz The Ohio State University

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