What is he best known for?
The fields of study he is best known for:
- Database
- Programming language
- Operating system
Distributed computing, Computer network, Theoretical computer science, Broadcasting and Database are his primary areas of study.
Stanley B. Zdonik combines subjects such as Scheme, Two-phase locking and Set with his study of Distributed computing.
Within one scientific family, Stanley B. Zdonik focuses on topics pertaining to Memory hierarchy under Set, and may sometimes address concerns connected to Structure.
His Theoretical computer science research is multidisciplinary, relying on both Object, Algebraic number and Parametric polymorphism.
His Broadcasting research is multidisciplinary, incorporating perspectives in Dissemination and Wireless network.
Many of his research projects under Database are closely connected to Stored procedure with Stored procedure, tying the diverse disciplines of science together.
His most cited work include:
- Broadcast disks: data management for asymmetric communication environments (795 citations)
- The Object-Oriented Database System Manifesto. (607 citations)
- H-store: a high-performance, distributed main memory transaction processing system (446 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Database, Distributed computing, Theoretical computer science, Programming language and Database design.
His Database research focuses on Data mining and how it connects with Tuple, SQL and Data structure.
His study explores the link between Distributed computing and topics such as Wireless network that cross with problems in Dissemination and Computer network.
His studies in Theoretical computer science integrate themes in fields like Object, Object-oriented programming, Set and Query optimization.
His Programming language study often links to related topics such as Object oriented databases.
The study incorporates disciplines such as Query language and Data modeling in addition to Database theory.
He most often published in these fields:
- Database (22.70%)
- Distributed computing (21.28%)
- Theoretical computer science (14.89%)
What were the highlights of his more recent work (between 2006-2020)?
- Data mining (9.93%)
- Database (22.70%)
- Online transaction processing (7.80%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Data mining, Database, Online transaction processing, Distributed computing and Transaction processing.
His Data mining study also includes fields such as
- SQL that connect with fields like VC dimension, Scheduling and Performance prediction,
- Database index, Relational database, Full table scan and Information retrieval most often made with reference to Correlation.
His study in the fields of Data model under the domain of Database overlaps with other disciplines such as Commodity.
His Online transaction processing research integrates issues from Transaction processing system, Data management and Distributed transaction.
Stream processing is the focus of his Distributed computing research.
His biological study spans a wide range of topics, including Set and Database administrator.
Between 2006 and 2020, his most popular works were:
- H-store: a high-performance, distributed main memory transaction processing system (446 citations)
- Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems (235 citations)
- A demonstration of SciDB: a science-oriented DBMS (161 citations)
In his most recent research, the most cited papers focused on:
- Database
- Programming language
- Operating system
Stanley B. Zdonik focuses on Database, Data science, Big data, Distributed computing and Data visualization.
His Online transaction processing, Data model and Array DBMS study, which is part of a larger body of work in Database, is frequently linked to Stored procedure, bridging the gap between disciplines.
Stanley B. Zdonik has researched Online transaction processing in several fields, including Parallel database, Shared nothing architecture and Distributed transaction.
His Data science research is multidisciplinary, incorporating elements of Data deduplication, Data integration and News aggregator.
The Big data study combines topics in areas such as Structure, World Wide Web and Human–computer interaction.
His Distributed computing research includes themes of Fragment, Transaction processing system, Overhead, Schedule and Backup.
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