What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Statistics
Jean Walrand mostly deals with Computer network, Queue, Mathematical optimization, Throughput and Distributed computing.
His Network packet, Asynchronous communication, Asynchronous Transfer Mode, Network congestion and Packet switching investigations are all subjects of Computer network research.
His Packet switching study incorporates themes from End-to-end principle, Convergence, Window and Fairness measure.
His work carried out in the field of Queue brings together such families of science as Traffic policing, Server, Bandwidth and Optimal control.
His Mathematical optimization research is multidisciplinary, incorporating elements of Dynamic demand and Combinatorics.
His Throughput study also includes fields such as
- Scheduling, which have a strong connection to Queueing theory and Iterative method,
- Wireless network which intersects with area such as Communication channel and Wireless lan.
His most cited work include:
- Fair end-to-end window-based congestion control (1825 citations)
- Achieving 100% throughput in an input-queued switch (801 citations)
- Automated vehicle control developments in the PATH program (608 citations)
What are the main themes of his work throughout his whole career to date?
Jean Walrand focuses on Computer network, Queue, Mathematical optimization, Distributed computing and Queueing theory.
His Computer network study integrates concerns from other disciplines, such as Wireless network and Throughput.
His studies examine the connections between Wireless network and genetics, as well as such issues in Distributed algorithm, with regards to Algorithm.
His Queue study combines topics from a wide range of disciplines, such as Discrete mathematics and Ergodic theory.
In his study, Markov process is strongly linked to Markov chain, which falls under the umbrella field of Mathematical optimization.
The Distributed computing study combines topics in areas such as Wireless ad hoc network, Scheduling and Asynchronous communication.
He most often published in these fields:
- Computer network (27.44%)
- Queue (19.21%)
- Mathematical optimization (18.29%)
What were the highlights of his more recent work (between 2012-2021)?
- Distributed computing (17.99%)
- Mathematical optimization (18.29%)
- Incentive (5.18%)
In recent papers he was focusing on the following fields of study:
Jean Walrand mostly deals with Distributed computing, Mathematical optimization, Incentive, Control and Scheduling.
His Distributed computing research is multidisciplinary, incorporating perspectives in Unit cost, Stochastic game, Dynamic priority scheduling, Fair-share scheduling and Computer network.
Jean Walrand has included themes like Cloud computing and Throughput in his Computer network study.
The concepts of his Mathematical optimization study are interwoven with issues in Queue, Sequence and Joint probability distribution.
His work in the fields of M/G/1 queue overlaps with other areas such as Volumetric flow rate.
His studies deal with areas such as Queueing theory and Server as well as Scheduling.
Between 2012 and 2021, his most popular works were:
- Knowledge-Defined Networking (148 citations)
- Motivating Smartphone Collaboration in Data Acquisition and Distributed Computing (88 citations)
- Knowledge-Defined Networking (62 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Statistics
His main research concerns Distributed computing, Scheduling, Control, Queueing theory and Context.
His biological study spans a wide range of topics, including Game theory, Dynamic priority scheduling, Fair-share scheduling, Incentive and Computer network.
His Node study in the realm of Computer network connects with subjects such as Population.
Jean Walrand studied Scheduling and Server that intersect with System parameters, Gradient projection, Fork–join queue and Network model.
Jean Walrand interconnects Optimal control, SIMPLE and Data science in the investigation of issues within Control.
The study incorporates disciplines such as Disjoint sets, Network topology, Ergodic theory, Mathematical optimization and Queue in addition to Queueing theory.
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