What is she best known for?
The fields of study she is best known for:
- Computer network
- Operating system
- Telecommunications
Emina Soljanin mainly investigates Computer network, Linear network coding, Distributed computing, Network packet and Theoretical computer science.
Her Computer network study incorporates themes from Synchronization, Communication channel and Refresh rate.
The Linear network coding study combines topics in areas such as Network architecture and Coding.
Her work focuses on many connections between Distributed computing and other disciplines, such as Queueing theory, that overlap with her field of interest in Download, Redundancy, Server, Response time and Latency.
Her Network packet research focuses on Transmission and how it relates to Node, Metric and Multicast network.
The various areas that Emina Soljanin examines in her Theoretical computer science study include Flow network, Network delay, Network topology, Decoding methods and Multicast.
Her most cited work include:
- Network Coding Fundamentals (300 citations)
- Information flow decomposition for network coding (196 citations)
- Network Coding Applications (171 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Computer network, Algorithm, Distributed computing, Redundancy and Theoretical computer science.
Her study in Computer network concentrates on Linear network coding and Network packet.
Her Algorithm study incorporates themes from Encoder and Communication channel.
Her Distributed computing study integrates concerns from other disciplines, such as Download, Latency and Queueing theory.
Emina Soljanin focuses mostly in the field of Redundancy, narrowing it down to topics relating to Binary erasure channel and, in certain cases, Real-time computing.
In her study, which falls under the umbrella issue of Theoretical computer science, Metric is strongly linked to Multicast.
She most often published in these fields:
- Computer network (34.43%)
- Algorithm (21.72%)
- Distributed computing (19.26%)
What were the highlights of her more recent work (between 2018-2021)?
- Redundancy (17.21%)
- Distributed computing (19.26%)
- Distributed data store (12.70%)
In recent papers she was focusing on the following fields of study:
Emina Soljanin focuses on Redundancy, Distributed computing, Distributed data store, Server and Replication.
Her Redundancy research incorporates elements of Node and Computer network.
In general Computer network study, her work on Protocol often relates to the realm of Covert, thereby connecting several areas of interest.
Emina Soljanin has researched Distributed computing in several fields, including Latency, Random variable and Erasure code.
Her Distributed data store research includes themes of Data access, Download, Load balancing and Upper and lower bounds.
Her study focuses on the intersection of Download and fields such as Queue with connections in the field of Queueing theory.
Between 2018 and 2021, her most popular works were:
- Straggler Mitigation at Scale (20 citations)
- Load Balancing Performance in Distributed Storage with Regular Balanced Redundancy (7 citations)
- Service Rate Region: A New Aspect of Coded Distributed System Design. (5 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- Operating system
- Statistics
Distributed computing, Redundancy, Server, Erasure code and Upper and lower bounds are her primary areas of study.
Her work in the fields of Distributed computing, such as Replication, overlaps with other areas such as Erasure.
In her work, Distributed data store is strongly intertwined with Download, which is a subfield of Replication.
Redundancy is closely attributed to Queueing theory in her work.
The Server study combines topics in areas such as Speedup and Random variable.
Her biological study spans a wide range of topics, including Reed–Muller code, Algorithm and Code.
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