What is he best known for?
The fields of study he is best known for:
- Computer network
- Algorithm
- Artificial intelligence
Tracey Ho mostly deals with Linear network coding, Distributed computing, Computer network, Multicast and Wireless network.
His studies in Linear network coding integrate themes in fields like Wireless, Decoding methods, Theoretical computer science and Flow network.
His Distributed computing research includes elements of Network packet, Wireless ad hoc network, Throughput, Network topology and Active networking.
His research investigates the connection between Computer network and topics such as Overlay network that intersect with problems in Cryptography, Hierarchical routing, Enhanced Interior Gateway Routing Protocol and Non-broadcast multiple-access network.
The concepts of his Multicast study are interwoven with issues in Distributed algorithm, Node and Algorithm.
His study looks at the relationship between Node and topics such as Slepian–Wolf coding, which overlap with Robustness.
His 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)
- On Randomized Network Coding (541 citations)
What are the main themes of his work throughout his whole career to date?
Tracey Ho focuses on Linear network coding, Computer network, Distributed computing, Theoretical computer science and Network packet.
His work deals with themes such as Wireless network, Algorithm, Decoding methods, Multicast and Topology, which intersect with Linear network coding.
His Multicast study combines topics from a wide range of disciplines, such as Distributed algorithm and Wireless ad hoc network.
He combines subjects such as Wireless, Throughput and Relay with his study of Computer network.
His Distributed computing study integrates concerns from other disciplines, such as Telecommunications network, Network management and Robustness.
His work carried out in the field of Theoretical computer science brings together such families of science as Computational complexity theory and Variable-length code.
He most often published in these fields:
- Linear network coding (62.56%)
- Computer network (47.18%)
- Distributed computing (30.26%)
What were the highlights of his more recent work (between 2013-2018)?
- Computer network (47.18%)
- Linear network coding (62.56%)
- Network packet (18.97%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Computer network, Linear network coding, Network packet, Node and Distributed computing.
His Computer network research integrates issues from Decoding methods and Redundancy.
His research integrates issues of Unicast, Enhanced Data Rates for GSM Evolution, Communication channel, Link and Topology in his study of Linear network coding.
His study on Network packet also encompasses disciplines like
- Cache which intersects with area such as Traffic engineering, Joint, Plane, Distributed algorithm and Network congestion,
- Network Load Balancing which intersects with area such as Active networking, Information-centric networking and Throughput,
- Adversarial system that connect with fields like Wireless network, Adversary model and Adversary.
Tracey Ho interconnects Key management, Internet Protocol and Internet protocol suite in the investigation of issues within Node.
Tracey Ho has included themes like Overhead, Resilience, Wireless sensor network, Key distribution in wireless sensor networks and Server in his Distributed computing study.
Between 2013 and 2018, his most popular works were:
- VIP: a framework for joint dynamic forwarding and caching in named data networks (85 citations)
- Quantifying Redundant Information in Predicting a Target Random Variable (20 citations)
- Method and apparatus for improving communiction performance through network coding (17 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Algorithm
- Artificial intelligence
Tracey Ho mainly focuses on Computer network, Network packet, Distributed computing, Node and Linear network coding.
His work on Broadcast communication network, Network scheduler, Burst switching and Packet segmentation as part of general Computer network study is frequently linked to Download, therefore connecting diverse disciplines of science.
Tracey Ho has researched Network packet in several fields, including Cache and Network Load Balancing.
His biological study spans a wide range of topics, including Key management, Overhead, Server and Resilience.
His study in Node is interdisciplinary in nature, drawing from both Wireless sensor network, Key distribution in wireless sensor networks, Key, Key distribution and Internet protocol suite.
Tracey Ho has included themes like Telecommunications and Communication channel in his Linear network coding study.
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