What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Algorithm
His primary scientific interests are in Parallel computing, Garbage collection, Theoretical computer science, Data structure and Java.
Much of his study explores Parallel computing relationship to Memory management.
His study on Garbage collection is covered under Garbage.
He has included themes like Concurrent zero knowledge, Oracle, Cryptography and Protocol in his Theoretical computer science study.
His work carried out in the field of Data structure brings together such families of science as Discrete mathematics, Binary logarithm and Distributed computing.
His Java research is multidisciplinary, relying on both Multiprocessing and Reference counting.
His most cited work include:
- Extending Oblivious Transfers Efficiently (424 citations)
- Identity Escrow (187 citations)
- The hardness of approximation: gap location (175 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Garbage collection, Parallel computing, Data structure, Distributed computing and Memory management.
Erez Petrank interconnects Heap and Operating system in the investigation of issues within Garbage collection.
His studies deal with areas such as Java, Thread, Compiler and Concurrency as well as Parallel computing.
His Data structure study combines topics from a wide range of disciplines, such as Synchronization, Queue, Theoretical computer science and Linked list.
His Theoretical computer science research includes elements of Computational complexity theory, Homomorphic encryption, Concurrent zero knowledge and Trapdoor function.
In his research, Fault tolerance is intimately related to Shared memory, which falls under the overarching field of Distributed computing.
He most often published in these fields:
- Garbage collection (26.45%)
- Parallel computing (23.23%)
- Data structure (21.29%)
What were the highlights of his more recent work (between 2014-2021)?
- Concurrent data structure (15.48%)
- Data structure (21.29%)
- Distributed computing (18.06%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Concurrent data structure, Data structure, Distributed computing, Non-blocking algorithm and Record locking.
He has researched Concurrent data structure in several fields, including Tree traversal, Hazard pointer, Transactional memory and Parallel computing.
Parallel computing and Thread safety are two areas of study in which Erez Petrank engages in interdisciplinary research.
The study incorporates disciplines such as Computer architecture and Computer network in addition to Data structure.
His Distributed computing research incorporates elements of Scalability, Overhead, Double-ended priority queue, Correctness and Shared memory.
Erez Petrank combines subjects such as Garbage collection and Programmer with his study of Scheme.
Between 2014 and 2021, his most popular works were:
- A persistent lock-free queue for non-volatile memory (44 citations)
- Efficient Memory Management for Lock-Free Data Structures with Optimistic Access (33 citations)
- Automated and Modular Refinement Reasoning for Concurrent Programs (32 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Algorithm
Erez Petrank spends much of his time researching Non-blocking algorithm, Distributed computing, Concurrent data structure, Data structure and Garbage collection.
His Non-blocking algorithm study incorporates themes from Double-ended priority queue and Queue management system.
His Distributed computing research includes themes of Record locking, Priority queue and Shared memory.
His study in Concurrent data structure is interdisciplinary in nature, drawing from both Dram, Non-volatile memory and Hash table.
His research combines Queue and Data structure.
Erez Petrank focuses mostly in the field of Garbage collection, narrowing it down to topics relating to Programmer and, in certain cases, Memory management, Manual memory management and Garbage.
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