What is he best known for?
The fields of study he is best known for:
- Database
- Operating system
- Programming language
Data mining, Theoretical computer science, Database, Graph and Information retrieval are his primary areas of study.
His studies deal with areas such as Query expansion and Web query classification as well as Data mining.
His biological study spans a wide range of topics, including Connected component, Factor-critical graph and Graph.
His research is interdisciplinary, bridging the disciplines of Interface and Database.
His studies in Graph integrate themes in fields like SPARQL, RDF Schema, RDF, RDF/XML and RDF query language.
His work deals with themes such as Management system, View, Database design, Data stream management system and Timestamp, which intersect with Query language.
His most cited work include:
- Robust and fast similarity search for moving object trajectories (905 citations)
- Issues in data stream management (901 citations)
- Distributed and parallel database systems (420 citations)
What are the main themes of his work throughout his whole career to date?
M. Tamer Özsu focuses on Database, Theoretical computer science, Information retrieval, Data mining and Distributed computing.
Database design and Data modeling are among the areas of Database where the researcher is concentrating his efforts.
As a part of the same scientific family, M. Tamer Özsu mostly works in the field of Theoretical computer science, focusing on Graph and, on occasion, Scalability.
His primary area of study in Data mining is in the field of Data stream mining.
In his research on the topic of Query language, RDF Schema and SPARQL is strongly related with RDF query language.
His research in Distributed database intersects with topics in Parallel database and Replication.
He most often published in these fields:
- Database (21.96%)
- Theoretical computer science (17.23%)
- Information retrieval (15.88%)
What were the highlights of his more recent work (between 2013-2021)?
- Theoretical computer science (17.23%)
- Graph (10.14%)
- Scalability (8.11%)
In recent papers he was focusing on the following fields of study:
M. Tamer Özsu spends much of his time researching Theoretical computer science, Graph, Scalability, RDF and Database.
His Theoretical computer science study also includes
- Graph, which have a strong connection to PageRank, Data mining, Partial evaluation and Multi-core processor,
- Computation that connect with fields like Execution model and Programming paradigm.
In Scalability, M. Tamer Özsu works on issues like Visualization, which are connected to Data integration.
His RDF study combines topics from a wide range of disciplines, such as Data management and Query optimization.
His research investigates the link between Query optimization and topics such as Web search query that cross with problems in View.
In his study, Information extraction is strongly linked to Rdf databases, which falls under the umbrella field of Database.
Between 2013 and 2021, his most popular works were:
- An experimental comparison of pregel-like graph processing systems (154 citations)
- Diversified Stress Testing of RDF Data Management Systems (154 citations)
- Distributed data management using MapReduce (132 citations)
In his most recent research, the most cited papers focused on:
- Database
- Operating system
- Programming language
His scientific interests lie mostly in Graph, RDF, Scalability, Theoretical computer science and RDF Schema.
M. Tamer Özsu has included themes like Scheme, Graph, Data science and Massively parallel in his Graph study.
His studies deal with areas such as Data management and Database as well as RDF.
His Theoretical computer science study incorporates themes from Bottleneck, Isomorphism, Server and Concurrency.
The concepts of his RDF Schema study are interwoven with issues in RDF/XML, Linked data and RDF query language.
His Linked data research includes elements of Query language, Query expansion, Web search query, Web query classification and Query optimization.
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