What is she best known for?
The fields of study she is best known for:
- Computer network
- Statistics
- Telecommunications
Her main research concerns Computer network, Linear network coding, Network packet, Distributed computing and Wireless network.
Her Computer network research is multidisciplinary, incorporating elements of Wireless and Heterogeneous network.
The various areas that Muriel Medard examines in her Linear network coding study include Theoretical computer science, Throughput, Information theory, Multicast and Algorithm.
Her studies in Network packet integrate themes in fields like Queue, Decoding methods, Coding and Automatic repeat request.
Muriel Medard has included themes like Telecommunications network, Wireless ad hoc network, Robustness and Network topology in her Distributed computing study.
The Wireless network study combines topics in areas such as Network delay and Physical layer.
Her most cited work include:
- An algebraic approach to network coding (2452 citations)
- A Random Linear Network Coding Approach to Multicast (2396 citations)
- XORs in the air: practical wireless network coding (2108 citations)
What are the main themes of her work throughout her whole career to date?
Computer network, Linear network coding, Network packet, Communication channel and Algorithm are her primary areas of study.
Her Computer network research incorporates elements of Wireless, Wireless network and Coding.
Her Linear network coding study incorporates themes from Theoretical computer science, Distributed computing, Multicast, Throughput and Decoding methods.
Muriel Medard works in the field of Multicast, namely Unicast.
Muriel Medard integrates many fields, such as Network packet and Erasure, in her works.
The concepts of her Communication channel study are interwoven with issues in Transmission, Electronic engineering and Topology.
She most often published in these fields:
- Computer network (40.45%)
- Linear network coding (39.26%)
- Network packet (20.52%)
What were the highlights of her more recent work (between 2017-2021)?
- Algorithm (16.37%)
- Communication channel (17.67%)
- Decoding methods (15.18%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Algorithm, Communication channel, Decoding methods, Linear network coding and Computer network.
Her work carried out in the field of Algorithm brings together such families of science as Selective Repeat ARQ, Markov process and Channel capacity.
Her Communication channel study integrates concerns from other disciplines, such as Transmitter, Computation, Throughput and Topology.
Her study in Decoding methods is interdisciplinary in nature, drawing from both Maximum likelihood, Noise and Code.
Her Linear network coding research is classified as research in Network packet.
In her research on the topic of Computer network, CPU cache is strongly related with Wireless network.
Between 2017 and 2021, her most popular works were:
- The Storage Versus Repair-Bandwidth Trade-off for Clustered Storage Systems (32 citations)
- Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization (21 citations)
- Capacity-Achieving Guessing Random Additive Noise Decoding (19 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Telecommunications
Muriel Medard focuses on Algorithm, Communication channel, Decoding methods, Erasure and Network packet.
Her Algorithm research is multidisciplinary, incorporating perspectives in Joint and Linear network coding.
Her work deals with themes such as Power, Complex normal distribution, Phase and Topology, which intersect with Communication channel.
Her Decoding methods research is multidisciplinary, relying on both Maximum likelihood, Theoretical computer science and Noise.
Her Network packet study is concerned with Computer network in general.
Her Computer network research includes themes of Wireless, File sharing and Relation.
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