What is he best known for?
The fields of study he is best known for:
- Database
- Programming language
- Operating system
David Maier spends much of his time researching Database, Programming language, Relational database, Theoretical computer science and Database design.
His work carried out in the field of Database brings together such families of science as Syntax and Operating system.
His work in the fields of Relational calculus and Relational model overlaps with other areas such as Universal relation and Toll.
His work deals with themes such as Forward chaining, Rewriting, Fourth normal form, Armstrong's axioms and Semantics, which intersect with Theoretical computer science.
When carried out as part of a general Database design research project, his work on Database schema and Database model is frequently linked to work in Management system, therefore connecting diverse disciplines of study.
His biological study spans a wide range of topics, including Entity–relationship model and Database theory.
His most cited work include:
- The theory of relational databases (1369 citations)
- On the Desirability of Acyclic Database Schemes (695 citations)
- Magic Sets and Other Strange Ways to Implement Logic Programs. (618 citations)
What are the main themes of his work throughout his whole career to date?
David Maier mostly deals with Database, Information retrieval, Theoretical computer science, Database design and Data mining.
His is doing research in Query optimization and Data management, both of which are found in Database.
In his study, which falls under the umbrella issue of Query optimization, Sargable is strongly linked to Web query classification.
His studies deal with areas such as Data science and Metadata, Metadata repository as well as Information retrieval.
His Theoretical computer science course of study focuses on Programming language and Data model.
His Database design study frequently draws parallels with other fields, such as Relational database.
He most often published in these fields:
- Database (22.55%)
- Information retrieval (15.73%)
- Theoretical computer science (14.54%)
What were the highlights of his more recent work (between 2008-2020)?
- Data mining (11.28%)
- Information retrieval (15.73%)
- Theoretical computer science (14.54%)
In recent papers he was focusing on the following fields of study:
Data mining, Information retrieval, Theoretical computer science, Data science and Distributed computing are his primary areas of study.
His Data mining study also includes
- Data stream which connect with Tuple,
- Sargable, which have a strong connection to Relational database and View.
His study looks at the relationship between Information retrieval and topics such as The Internet, which overlap with Information needs.
The study incorporates disciplines such as Programming language, Graph and Operator in addition to Theoretical computer science.
His Data science study also includes fields such as
- Big data which intersects with area such as Query optimization and Analytics,
- Scalability that intertwine with fields like Server.
Transaction processing is a subfield of Database that he explores.
Between 2008 and 2020, his most popular works were:
- A demonstration of SciDB: a science-oriented DBMS (161 citations)
- Requirements for Science Data Bases and SciDB (160 citations)
- The BigDAWG Polystore System (148 citations)
In his most recent research, the most cited papers focused on:
- Database
- Programming language
- Operating system
His primary scientific interests are in Theoretical computer science, Database, Distributed computing, Information retrieval and Data science.
His Theoretical computer science study combines topics from a wide range of disciplines, such as Graph and Negation.
Negation is a primary field of his research addressed under Programming language.
His study on Database is mostly dedicated to connecting different topics, such as Programming paradigm.
His Information retrieval study integrates concerns from other disciplines, such as Data element, Metadata, Metadata repository, Data mining and Geospatial metadata.
The Data science study combines topics in areas such as Set and Big data.
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