D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 5,210 103 World Ranking 8633 National Ranking 3990

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Database
  • Programming language

Eric Sedlar mainly investigates Database, Information retrieval, XML database, XML schema and Streaming XML. The concepts of his Information retrieval study are interwoven with issues in Index and XPath. His XML database study frequently links to adjacent areas such as XML Signature.

His XML schema research includes elements of XML validation, Efficient XML Interchange, XML Encryption and XML Schema Editor. His work deals with themes such as Programming language and Document Structure Description, which intersect with XML Schema Editor. His research investigates the connection between Self-certifying File System and topics such as Fork that intersect with problems in Versioning file system.

His most cited work include:

  • Mechanism for mapping XML schemas to object-relational database systems (279 citations)
  • Event notification system tied to a file system (246 citations)
  • FAST: fast architecture sensitive tree search on modern CPUs and GPUs (245 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Database, Information retrieval, XML database, XML validation and Document Structure Description. His studies deal with areas such as XML and Operating system as well as Database. His Information retrieval research incorporates themes from Simple API for XML, Partition and XPath.

The various areas that Eric Sedlar examines in his XML database study include XML Signature, Efficient XML Interchange, View, XML framework and Streaming XML. His XML schema research extends to XML validation, which is thematically connected. His work in Document Structure Description addresses issues such as XML Schema Editor, which are connected to fields such as RELAX NG and Programming language.

He most often published in these fields:

  • Database (49.52%)
  • Information retrieval (22.86%)
  • XML database (19.05%)

What were the highlights of his more recent work (between 2011-2021)?

  • Cache (7.62%)
  • Operating system (12.38%)
  • Parallel computing (8.57%)

In recent papers he was focusing on the following fields of study:

Eric Sedlar focuses on Cache, Operating system, Parallel computing, SQL and Flushing. His Operating system research incorporates elements of Pointer and Database. His work on Database deals in particular with Database server, Heterogeneous database system, Materialized view, Database tuning and Partition.

Eric Sedlar has included themes like Protocol, JavaScript and Big data in his SQL study. The Big data study combines topics in areas such as Scalability, Analytics, Data science and Node. Eric Sedlar has researched Scalability in several fields, including Joins and Distributed database.

Between 2011 and 2021, his most popular works were:

  • Unifying static and dynamic compiler optimizations in source-code bases (58 citations)
  • A many-core architecture for in-memory data processing (18 citations)
  • Optimal data representation and auxiliary structures for in-memory database query processing (18 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Database
  • Programming language

His primary areas of study are Pointer, Software, Translation lookaside buffer, Operating system and Disk buffer. His work carried out in the field of Pointer brings together such families of science as Database and Cache.

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.

Best Publications

Providing a consistent hierarchical abstraction of relational data

Nipun Agarwal;Eric Sedlar;Ravi Murthy;Namit Jain.
(2002)

619 Citations

FAST: fast architecture sensitive tree search on modern CPUs and GPUs

Changkyu Kim;Jatin Chhugani;Nadathur Satish;Eric Sedlar.
international conference on management of data (2010)

387 Citations

Sort vs. Hash revisited: fast join implementation on modern multi-core CPUs

Changkyu Kim;Tim Kaldewey;Victor W. Lee;Eric Sedlar.
very large data bases (2009)

383 Citations

Event notification system tied to a file system

Eric Sedlar.
(2000)

335 Citations

Techniques for changing XML content in a relational database

Anand Manikutty;Muralidhar Krishnaprasad;Ravi Murthy;Visar Nimani.
(2004)

215 Citations

Efficient query processing of XML data using XML index

Ashish Thusoo;Ravi Murthy;Sivasankaran Chandrasekar;Nipun Agarwal.
(2005)

164 Citations

Hierarchical indexing for accessing hierarchically organized information in a relational system

Eric Sedlar.
(2000)

148 Citations

File system that supports transactions

Eric Sedlar.
(2000)

128 Citations

Index for accessing xml data

Sivasankaran Chandrasekar;Ravi Murthy;Ashish Thusoo;Anh-Tuan Tran.
(2005)

118 Citations

Efficient extraction of xml content stored in a lob

Sivasankaran Chandrasekar;Ashish Thusoo;Ravi Murthy;Nipun Agarwal.
(2005)

115 Citations

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