What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Parallel computing
His main research concerns Parallel computing, Transactional memory, Distributed computing, Operating system and Scalability.
His research in Parallel computing intersects with topics in Hash function, Thread, Non-blocking algorithm and Primary clustering.
The concepts of his Non-blocking algorithm study are interwoven with issues in Double-ended queue, Algorithm, Mutual exclusion and Compare-and-swap.
His Transactional memory study is related to the wider topic of Database transaction.
His Distributed computing research incorporates elements of Lock, Input/output, Record locking and Shared memory.
In his research on the topic of Operating system, Computer architecture, Unix, Instruction set, x86 and Windows NT is strongly related with Programming paradigm.
His most cited work include:
- Simple, fast, and practical non-blocking and blocking concurrent queue algorithms (728 citations)
- Hazard pointers: safe memory reclamation for lock-free objects (460 citations)
- High performance dynamic lock-free hash tables and list-based sets (373 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Operating system, Parallel computing, Transactional memory, Database transaction and Distributed computing.
His Operating system study incorporates themes from Set and State.
His biological study spans a wide range of topics, including Thread, Mutual exclusion and Data structure, Non-blocking algorithm.
His work in Transactional memory addresses issues such as Scalability, which are connected to fields such as Programming paradigm.
His work on Distributed transaction as part of general Database transaction research is frequently linked to Transactional leadership, thereby connecting diverse disciplines of science.
His study in Distributed computing is interdisciplinary in nature, drawing from both Record locking, Process and Shared memory.
He most often published in these fields:
- Operating system (34.85%)
- Parallel computing (34.85%)
- Transactional memory (31.82%)
What were the highlights of his more recent work (between 2014-2020)?
- Database transaction (31.06%)
- Transactional memory (31.82%)
- Operating system (34.85%)
In recent papers he was focusing on the following fields of study:
Maged M. Michael mainly focuses on Database transaction, Transactional memory, Operating system, Computer hardware and Transactional leadership.
His Database transaction research includes elements of State, State information, Code, Computer network and Yet another.
Maged M. Michael has included themes like Extended memory, Distributed memory, Uniform memory access and Parallel computing in his Transactional memory study.
His work carried out in the field of Parallel computing brings together such families of science as Scalability, Software, PowerPC, Scheduling and Programming paradigm.
The various areas that Maged M. Michael examines in his Operating system study include Computer architecture, Set and Database.
He usually deals with Computer hardware and limits it to topics linked to Distributed transaction and Online transaction processing.
Between 2014 and 2020, his most popular works were:
- Quantitative comparison of hardware transactional memory for Blue Gene/Q, zEnterprise EC12, Intel Core, and POWER8 (58 citations)
- Transactional memory support in the IBM POWER8 processor (35 citations)
- Coalescing memory transactions (23 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
His primary scientific interests are in Transactional memory, Operating system, Database transaction, Computer hardware and Distributed transaction.
His Transactional memory research is multidisciplinary, incorporating elements of Scalability, Online transaction processing, State information and Code.
His studies in Scalability integrate themes in fields like Concurrent computing, Parallel computing, Software transactional memory, Software and Programming paradigm.
His Operating system research integrates issues from Value and Computer architecture.
His Database transaction study integrates concerns from other disciplines, such as Completion time, Event and Computer security.
His Distributed transaction study frequently draws connections between adjacent fields such as Transaction processing system.
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