What is he best known for?
The fields of study he is best known for:
- Programming language
- Database
- Law
His scientific interests lie mostly in Temporal database, Query language, Information retrieval, Database and Relational database.
His Temporal database research is multidisciplinary, incorporating perspectives in Transaction time, Tuple, Spatiotemporal database and Database theory.
His Query language research integrates issues from Valid time and Query optimization.
His research in Valid time intersects with topics in Data modeling, Database transaction and Information system.
His Information retrieval course of study focuses on Taxonomy and Software verification.
His SQL and View study, which is part of a larger body of work in Database, is frequently linked to Electronic voting and Information technology audit, bridging the gap between disciplines.
His most cited work include:
- The TSQL2 Temporal Query Language (561 citations)
- The temporal query language TQuel (544 citations)
- Temporal Databases: Theory, Design, and Implementation (530 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Temporal database, Information retrieval, Query language, Database and Programming language.
His work deals with themes such as Relational database, Database theory and Theoretical computer science, which intersect with Temporal database.
His Theoretical computer science study also includes
- Relation most often made with reference to Tuple,
- Data model and related Data modeling.
As part of the same scientific family, Richard T. Snodgrass usually focuses on Information retrieval, concentrating on Document Structure Description and intersecting with XML validation.
He has researched Query language in several fields, including Natural language processing, Query by Example, RDF query language, Artificial intelligence and Query optimization.
Richard T. Snodgrass has included themes like Query expansion and Sargable in his Query optimization study.
He most often published in these fields:
- Temporal database (31.95%)
- Information retrieval (20.77%)
- Query language (16.29%)
What were the highlights of his more recent work (between 2009-2021)?
- Database (15.97%)
- Artificial intelligence (7.99%)
- Temporal database (31.95%)
In recent papers he was focusing on the following fields of study:
Richard T. Snodgrass spends much of his time researching Database, Artificial intelligence, Temporal database, Real-time computing and Relational database.
His biological study spans a wide range of topics, including Data mining, Information system and Sargable.
His Temporal database research is multidisciplinary, relying on both Data modeling, Cartography, Efficient XML Interchange, XML Schema Editor and Information retrieval.
Richard T. Snodgrass combines subjects such as XML validation, Document Definition Markup Language and XML Schema with his study of Information retrieval.
His Relational database study incorporates themes from Computer security, Theoretical computer science, Accountability and SQL.
His work in SQL addresses subjects such as Stored procedure, which are connected to disciplines such as Query language.
Between 2009 and 2021, his most popular works were:
- Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream (65 citations)
- Machine Learning-based Brokers for Real-time Classification of the LSST Alert Stream (61 citations)
- The Tiled Bitmap Forensic Analysis Algorithm (27 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Database
- Operating system
Richard T. Snodgrass mostly deals with Database, Artificial intelligence, Sargable, Relational database and Theoretical computer science.
His studies deal with areas such as Test, CPU time and Information system as well as Database.
His studies in Sargable integrate themes in fields like Programming language, Data access, Query by Example, Relational database management system and Query optimization.
His research integrates issues of Query language, Metadata, Relation and SQL in his study of Query by Example.
His Data model research is multidisciplinary, incorporating elements of Database theory, Representation, Temporal database, Semantics and Statistical relational learning.
The various areas that Richard T. Snodgrass examines in his Temporal database study include Data modeling, XML Schema, Document Definition Markup Language, Database schema and Referential integrity.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
