What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Computer network
Michel Raynal focuses on Distributed computing, Theoretical computer science, Asynchronous communication, Distributed algorithm and Protocol.
Michel Raynal has researched Distributed computing in several fields, including Computer network, Computation and Crash.
His studies deal with areas such as Tree structure, Algorithm design, Scheduling and Parallel computing as well as Theoretical computer science.
His biological study spans a wide range of topics, including Context, Chandra–Toueg consensus algorithm, Shared memory and Quantum Byzantine agreement.
His Distributed algorithm study combines topics from a wide range of disciplines, such as Algorithm, Randomized algorithm and Correctness.
His Protocol study incorporates themes from Reliability, Class, Set, Property and Software fault tolerance.
His most cited work include:
- Algorithms for mutual exclusion (304 citations)
- Logical time: capturing causality in distributed systems (194 citations)
- The causal ordering abstraction and a simple way to implement it (194 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Distributed computing, Theoretical computer science, Asynchronous communication, Distributed algorithm and Algorithm.
Michel Raynal studies Fault tolerance which is a part of Distributed computing.
The Theoretical computer science study combines topics in areas such as Object, Context, Computation and Set.
His Asynchronous communication study combines topics in areas such as Process, Message passing, Crash and Shared memory.
His Distributed algorithm study combines topics from a wide range of disciplines, such as Byzantine fault tolerance and Quantum Byzantine agreement.
His work carried out in the field of Algorithm brings together such families of science as Discrete mathematics, Value, Class, K-set and Upper and lower bounds.
He most often published in these fields:
- Distributed computing (39.49%)
- Theoretical computer science (36.01%)
- Asynchronous communication (35.85%)
What were the highlights of his more recent work (between 2017-2021)?
- Asynchronous communication (35.85%)
- Theoretical computer science (36.01%)
- Asynchronous system (17.55%)
In recent papers he was focusing on the following fields of study:
His main research concerns Asynchronous communication, Theoretical computer science, Asynchronous system, Abstraction and Message passing.
The concepts of his Asynchronous communication study are interwoven with issues in Fault tolerance and Crash.
His Fault tolerance study is concerned with the field of Distributed computing as a whole.
In the subject of general Theoretical computer science, his work in Mutual exclusion is often linked to Simple, thereby combining diverse domains of study.
The study incorporates disciplines such as Concurrent computing and Vertex in addition to Message passing.
He interconnects Discrete mathematics and Atomic broadcast in the investigation of issues within Distributed algorithm.
Between 2017 and 2021, his most popular works were:
- DBFT: Efficient Leaderless Byzantine Consensus and its Application to Blockchains (44 citations)
- Fault-Tolerant Message-Passing Distributed Systems: An Algorithmic Approach (29 citations)
- Unifying Concurrent Objects and Distributed Tasks: Interval-Linearizability (13 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Computer network
Michel Raynal mainly investigates Asynchronous communication, Theoretical computer science, Shared memory, Algorithm and Message passing.
His studies deal with areas such as Abstraction, Snapshot, Code, Byzantine fault tolerance and Node as well as Asynchronous communication.
His Theoretical computer science research incorporates elements of Object and Locality.
His Shared memory research is multidisciplinary, incorporating perspectives in Context, Process, Mutual exclusion and Anonymity.
His study with Message passing involves better knowledge in Distributed computing.
His research integrates issues of Wireless, Partition and Network packet in his study of Distributed computing.
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