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.
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