H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 45 Citations 14,161 200 World Ranking 3601 National Ranking 1844


What is she best known for?

The fields of study she is best known for:

  • Computer network
  • Algorithm
  • Statistics

Her scientific interests lie mostly in Linear network coding, Multicast, Theoretical computer science, Computer network and Distributed computing. Her study in Linear network coding is interdisciplinary in nature, drawing from both Policy-based routing, Code rate, Hazy Sighted Link State Routing Protocol, Triangular routing and Routing protocol. Her Multicast research includes themes of Node, Flow network, Coding and Topology.

The concepts of her Theoretical computer science study are interwoven with issues in Huffman coding and Algorithm, Decoding methods, Block code, Variable-length code. Her Computer network research is multidisciplinary, incorporating elements of Wireless and Overlay network. Her Distributed computing research is multidisciplinary, relying on both Routing domain, Wireless ad hoc network, Network topology, Wireless network and Destination-Sequenced Distance Vector routing.

Her most cited work include:

  • A Random Linear Network Coding Approach to Multicast (2396 citations)
  • The benefits of coding over routing in a randomized setting (979 citations)
  • Polynomial time algorithms for multicast network code construction (937 citations)

What are the main themes of her work throughout her whole career to date?

Michelle Effros mainly focuses on Linear network coding, Algorithm, Theoretical computer science, Decoding methods and Computer network. Her research in Linear network coding intersects with topics in Unicast, Distributed computing, Multicast, Coding and Topology. In the subject of general Algorithm, her work in Data compression, Vector quantization and Lossless compression is often linked to Transform coding, thereby combining diverse domains of study.

Her research on Theoretical computer science also deals with topics like

  • Variable-length code that intertwine with fields like Repetition code,
  • Rate–distortion theory that intertwine with fields like Multi resolution. Her study explores the link between Decoding methods and topics such as Mathematical optimization that cross with problems in Entropy. The various areas that Michelle Effros examines in her Computer network study include Wireless, Wireless network and Communication channel.

She most often published in these fields:

  • Linear network coding (34.25%)
  • Algorithm (27.40%)
  • Theoretical computer science (27.05%)

What were the highlights of her more recent work (between 2014-2021)?

  • Encoder (14.04%)
  • Communication channel (21.58%)
  • Computer network (22.95%)

In recent papers she was focusing on the following fields of study:

Her primary areas of investigation include Encoder, Communication channel, Computer network, Node and Decoding methods. Her work in Computer network addresses subjects such as Distributed computing, which are connected to disciplines such as Scale. Her Node research is multidisciplinary, incorporating perspectives in Wireless, Adder and Linear network coding.

The study incorporates disciplines such as Network model, Encoding and Multicast in addition to Wireless. Her research integrates issues of Equivalence, Theoretical computer science, Unicast, Function and Channel capacity in her study of Linear network coding. Her Random access research incorporates elements of Algorithm and Point-to-point.

Between 2014 and 2021, her most popular works were:

  • An Equivalence Between Network Coding and Index Coding (116 citations)
  • On the fundamental limits of caching in combination networks (67 citations)
  • Random Access Channel Coding in the Finite Blocklength Regime (14 citations)

In her most recent research, the most cited papers focused on:

  • Computer network
  • Statistics
  • Algorithm

The scientist’s investigation covers issues in Encoder, Communication channel, Computer network, Linear network coding and Random access. Michelle Effros has included themes like Transmitter and Topology in her Encoder study. The Communication channel study combines topics in areas such as Node, Enhanced Data Rates for GSM Evolution and Code.

Michelle Effros interconnects Transmission time, Real-time computing and Distributed computing in the investigation of issues within Computer network. Her Linear network coding study combines topics in areas such as Wireless, Equivalence, Combinatorics and Variable-length code, Shannon–Fano coding. Much of her study explores Random access relationship to Algorithm.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

A Random Linear Network Coding Approach to Multicast

T. Ho;M. Medard;R. Koetter;D.R. Karger.
IEEE Transactions on Information Theory (2006)

2662 Citations

The benefits of coding over routing in a randomized setting

T. Ho;R. Koetter;M. Medard;D.R. Karger.
international symposium on information theory (2003)

1503 Citations

Polynomial time algorithms for multicast network code construction

S. Jaggi;P. Sanders;P.A. Chou;M. Effros.
IEEE Transactions on Information Theory (2005)

1145 Citations

On Coding for Reliable Communication over Packet Networks

Desmond S. Lun;Muriel Medard;Ralf Koetter;Michelle Effros.
arXiv: Information Theory (2005)

903 Citations

On Randomized Network Coding

Tracey Ho;Muriel Médard;Jun Shi;Michelle Effros.

735 Citations

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

Desmond S. Lun;Muriel MéDard;Ralf Koetter;Michelle Effros.
Physical Communication (2008)

438 Citations

Capacity of wireless erasure networks

A.F. Dana;R. Gowaikar;R. Palanki;B. Hassibi.
IEEE Transactions on Information Theory (2006)

400 Citations

Resilient Network Coding in the Presence of Byzantine Adversaries

S. Jaggi;M. Langberg;S. Katti;T. Ho.
IEEE Transactions on Information Theory (2008)

328 Citations

Byzantine modification detection in multicast networks using randomized network coding

T. Ho;B. Leong;R. Koetter;M. Medard.
international symposium on information theory (2004)

314 Citations

Network Coding for Wireless Applications: A Brief Tutorial

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

226 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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