What is he best known for?
The fields of study he is best known for:
- Database
- Operating system
- Programming language
Michael Stonebraker mainly focuses on Database, Relational database, Distributed computing, Database design and Data science.
His study in Database is interdisciplinary in nature, drawing from both Inter-process communication, Computer data storage and Code.
His research integrates issues of Programming language, Data integrity, Query optimization and Sargable in his study of Relational database.
His research in Query optimization intersects with topics in Data type and Data structure.
His Sargable research includes elements of Query by Example and SQL.
When carried out as part of a general Distributed computing research project, his work on Distributed database, Stream processing and Fault tolerance is frequently linked to work in Scale, therefore connecting diverse disciplines of study.
His most cited work include:
- Aurora: a new model and architecture for data stream management (1440 citations)
- A comparison of approaches to large-scale data analysis (1008 citations)
- C-store: a column-oriented DBMS (937 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Database, Data science, Relational database, Distributed computing and Information retrieval.
His study in Database design, Online transaction processing, Transaction processing, Data management and Database tuning falls under the purview of Database.
Many of his studies involve connections with topics such as Relational database management system and Database design.
Data science is closely attributed to Big data in his study.
His Relational database research incorporates themes from Programming language and SQL.
Distributed computing is represented through his Distributed database and Stream processing research.
He most often published in these fields:
- Database (34.08%)
- Data science (10.76%)
- Relational database (9.42%)
What were the highlights of his more recent work (between 2016-2021)?
- Database (34.08%)
- Data science (10.76%)
- Analytics (3.81%)
In recent papers he was focusing on the following fields of study:
Michael Stonebraker mainly investigates Database, Data science, Analytics, Big data and Data integration.
His studies deal with areas such as Operating system and Filter as well as Database.
His Data science research integrates issues from Very large database, Key, Data discovery and Data visualization.
The Data integration study combines topics in areas such as Data migration, Data warehouse and Artificial intelligence.
His Relational database management system study which covers Orders of magnitude that intersects with Stream processing and Programming language.
His work in Middleware covers topics such as Database design which are related to areas like Data stream mining.
Between 2016 and 2021, his most popular works were:
- The data civilizer system (78 citations)
- An evaluation of distributed concurrency control (58 citations)
- Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery (44 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- Programming language
Michael Stonebraker spends much of his time researching Database, Programming language, Data science, Online transaction processing and Data integration.
The study incorporates disciplines such as Software release life cycle and Operating system, Big data in addition to Database.
His research investigates the connection between Programming language and topics such as Code that intersect with issues in Debugger, Stream processing and Orders of magnitude.
His Data science study combines topics in areas such as Bolster, Parsing and Phrase.
His Online transaction processing study integrates concerns from other disciplines, such as Distributed computing, Serializability, Distributed transaction, Non-lock concurrency control and Server.
In his work, Distributed database is strongly intertwined with Data modeling, which is a subfield of Server.
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