World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
16167
World Ranking
5222
National Ranking
2401

Electronics and Electrical Engineering

D-Index
45
Citations
15251
World Ranking
3448
National Ranking
1271

Overview

Michelle Effros is affiliated with the California Institute of Technology in the United States. Their research contributions largely focus on areas within computer science and engineering, with significant work in computer networks, communications, and electrical engineering. Effros's publications also engage with interdisciplinary topics such as molecular biology, artificial intelligence, and biomedical engineering.

The scientific output includes a range of papers published across notable venues, with recurrent appearances in "arXiv (Cornell University)" and "IEEE Transactions on Information Theory." Other venues where their research has appeared include the "2022 IEEE International Symposium on Information Theory (ISIT)," "Proceedings of the IEEE," and the "2022 IEEE Information Theory Workshop (ITW)." This reflects active participation in information theory and related communications fields.

Effros's research topics cover multiple domains:

  • Wireless Communication Security Techniques
  • Cooperative Communication and Network Coding
  • Energy Harvesting in Wireless Networks
  • Error Correcting Code Techniques
  • Molecular Communication and Nanonetworks
  • DNA and Biological Computing
  • Security in Wireless Sensor Networks

Examples of recent papers by Effros include:

  • "Gaussian Multiple and Random Access Channels: Finite-Blocklength Analysis," 2021, IEEE Transactions on Information Theory
  • "Lossless Source Coding in the Point-to-Point, Multiple Access, and Random Access Scenarios," 2020, IEEE Transactions on Information Theory
  • "Variable-Length Sparse Feedback Codes for Point-to-Point, Multiple Access, and Random Access Channels," 2021, arXiv (Cornell University)
  • "Variable-Length Sparse Feedback Codes for Point-to-Point, Multiple Access, and Random Access Channels," 2023, IEEE Transactions on Information Theory
  • "Network Coding Multicast Key-Capacity," 2022, 2022 IEEE Information Theory Workshop (ITW)

Effros frequently collaborates with other researchers, including Michael Langberg, Victoria Kostina, Recep Can Yavas, Oliver Kosut, and D.J. Allstot. These collaborations suggest a network of coauthors engaged in overlapping research themes centered on information theory and communications.

Best Publications

  • 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

  • Polynomial time algorithms for multicast network code construction

    S. Jaggi;P. Sanders;P.A. Chou;M. Effros

  • 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

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

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

  • Capacity of wireless erasure networks

    A.F. Dana;R. Gowaikar;R. Palanki;B. Hassibi

  • Resilient Network Coding in the Presence of Byzantine Adversaries

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

  • Byzantine modification detection in multicast networks using randomized network coding

    T. Ho;B. Leong;R. Koetter;M. Medard

  • Network Coding for Wireless Applications: A Brief Tutorial

    Supratim Deb;Michelle Effros;Tracey Ho;David R. Karger

  • Universal lossless source coding with the Burrows Wheeler transform

    M. Effros;K. Visweswariah;S.R. Kulkarni;S. Verdu

  • Byzantine Modification Detection in Multicast Networks With Random Network Coding

    Tracey Ho;Ben Leong;R. Koetter;M. Medard

  • Separating distributed source coding from network coding

    Aditya Ramamoorthy;Kamal Jain;Philip A. Chou;Michelle Effros

  • Further results on coding for reliable communication over packet networks

    D.S. Lun;M. Medard;R. Koetter;M. Effros

  • The capacity region of broadcast channels with intersymbol interference and colored Gaussian noise

    A.J. Goldsmith;M. Effros

  • An Equivalence Between Network Coding and Index Coding

    Michelle Effros;Salim El Rouayheb;Michael Langberg

  • Evolutionary Approaches To Minimizing Network Coding Resources

    Minkyu Kim;M. Medard;V. Aggarwal;U.-M. O'Reilly

  • Beyond Shannon: the quest for fundamental performance limits of wireless ad hoc networks

    A Goldsmith;M Effros;R Koetter;M Médard

  • Linear network codes: A unified framework for source, channel, and network coding

    Michelle Effros;Muriel Médard;Tracey Ho;Siddharth Ray

  • An equivalence between network coding and index coding

    M. Effros;S. El Rouayheb;M. Langberg

  • A Random Linear Network Coding Approach to

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

Frequent Co-Authors

Michael Langberg
Michael Langberg University at Buffalo, State University of New York
Tracey Ho
Tracey Ho California Institute of Technology
Ralf Koetter
Ralf Koetter Technical University of Munich
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Philip A. Chou
Philip A. Chou Google (United States)
Robert M. Gray
Robert M. Gray Stanford University
Babak Hassibi
Babak Hassibi California Institute of Technology
Alexandros G. Dimakis
Alexandros G. Dimakis The University of Texas at Austin

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