What is he best known for?
The fields of study he is best known for:
- Database
- Operating system
- Programming language
Query optimization, Sargable, Query expansion, Query language and Theoretical computer science are his primary areas of study.
His work on Query plan as part of general Sargable study is frequently linked to Data mining, therefore connecting diverse disciplines of science.
Vijayshankar Raman combines topics linked to Distributed computing with his work on Query expansion.
His studies deal with areas such as Thrashing, Multi-core processor, Dataflow, Parallel computing and Set as well as Distributed computing.
His study looks at the intersection of Parallel computing and topics like Central processing unit with Database.
His research investigates the connection between Query language and topics such as Data stream management system that intersect with problems in Relational algebra.
His most cited work include:
- TelegraphCQ: Continuous Dataflow Processing for an Uncertain World. (1083 citations)
- Continuously adaptive continuous queries over streams (623 citations)
- Potter's Wheel: An Interactive Data Cleaning System (493 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Database, Algorithm, Query optimization, Theoretical computer science and Data mining.
Many of his research projects under Database are closely connected to Tuple with Tuple, tying the diverse disciplines of science together.
His work carried out in the field of Algorithm brings together such families of science as Column and Row.
His Query optimization research is multidisciplinary, incorporating perspectives in Query language, Query expansion and Distributed computing.
His Theoretical computer science study combines topics in areas such as Hash function and Data structure.
His research integrates issues of Set and Search engine indexing in his study of Data mining.
He most often published in these fields:
- Database (24.82%)
- Algorithm (17.02%)
- Query optimization (17.02%)
What were the highlights of his more recent work (between 2015-2020)?
- Database (24.82%)
- Column (12.06%)
- Data mining (13.48%)
In recent papers he was focusing on the following fields of study:
Vijayshankar Raman mainly focuses on Database, Column, Data mining, Object and Theoretical computer science.
His work in Database addresses subjects such as Append, which are connected to disciplines such as Field.
He has included themes like Sorting, Computer hardware and Key in his Column study.
As a part of the same scientific study, Vijayshankar Raman usually deals with the Data mining, concentrating on Search engine indexing and frequently concerns with Transaction processing.
His Object course of study focuses on Data structure and Information retrieval, Isolation and Set.
The concepts of his Theoretical computer science study are interwoven with issues in Rewriting and Aggregate.
Between 2015 and 2020, his most popular works were:
- Reducing the cost of update, delete, and append-only insert operations in a database (11 citations)
- Evolving Databases for New-Gen Big Data Applications. (10 citations)
- Wildfire: Concurrent Blazing Data Ingest and Analytics (8 citations)
In his most recent research, the most cited papers focused on:
- Database
- Operating system
- Programming language
Vijayshankar Raman mainly investigates Data mining, Database, Column, Table and Arithmetic.
His Data mining study combines topics from a wide range of disciplines, such as Search engine indexing and Data science.
His Database research incorporates elements of Append and Pointer.
His Column research is multidisciplinary, relying on both Database transaction, Computer hardware and Row.
Vijayshankar Raman combines subjects such as Process, Key and Theoretical computer science with his study of Table.
His Arithmetic study also includes fields such as
- Hash function together with Parallel computing,
- Hash buster which is related to area like HAT-trie.
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