H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 76 Citations 32,995 198 World Ranking 572 National Ranking 8

Research.com Recognitions

Awards & Achievements

2011 - ACM Fellow For contributions to the theory and practice of databases.

2011 - Member of Academia Europaea

Overview

What is he best known for?

The fields of study he is best known for:

  • Database
  • Programming language
  • Operating system

His primary areas of investigation include Information retrieval, Theoretical computer science, Database, Query language and World Wide Web. His work carried out in the field of Information retrieval brings together such families of science as Data warehouse and Data mining. His work in the fields of Theoretical computer science, such as Recursion, intersects with other areas such as Possible world.

When carried out as part of a general Database research project, his work on Datalog, Field and SQL is frequently linked to work in Perspective, therefore connecting diverse disciplines of study. His Query language research is multidisciplinary, incorporating perspectives in Data model, Algebra, Relational database, Query optimization and Data structure. His Data model course of study focuses on Data modeling and Database design, Programming language, Structure and Database theory.

His most cited work include:

  • Foundations of databases (3532 citations)
  • The Lorel Query Language for Semistructured Data (1063 citations)
  • Data on the Web: From Relations to Semistructured Data and XML (968 citations)

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

Serge Abiteboul focuses on XML, World Wide Web, Information retrieval, Theoretical computer science and Programming language. The XML study combines topics in areas such as Data mining and Database. His work blends Information retrieval and Context studies together.

His work deals with themes such as Query language and Relational database, which intersect with Programming language. His studies deal with areas such as Data model, Object, Query optimization, Schema and View as well as Query language. His research investigates the connection between XML validation and topics such as XML Signature that intersect with issues in XML Schema Editor.

He most often published in these fields:

  • XML (21.50%)
  • World Wide Web (18.89%)
  • Information retrieval (18.57%)

What were the highlights of his more recent work (between 2008-2020)?

  • XML (21.50%)
  • Theoretical computer science (17.92%)
  • Data management (6.19%)

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

Serge Abiteboul mainly investigates XML, Theoretical computer science, Data management, Information retrieval and Datalog. The various areas that he examines in his XML study include Automaton, Web service, Undecidable problem, Query language and Workflow. His research integrates issues of Programming language, Theory of computation, XML validation, Probabilistic logic and Data integrity in his study of Theoretical computer science.

The concepts of his XML validation study are interwoven with issues in XML Signature and Efficient XML Interchange. His work in the fields of Information retrieval, such as Ontology, overlaps with other areas such as Development. His research investigates the connection with Datalog and areas like Distributed knowledge which intersect with concerns in Novelty.

Between 2008 and 2020, his most popular works were:

  • Corroborating information from disagreeing views (256 citations)
  • PARIS: probabilistic alignment of relations, instances, and schema (256 citations)
  • Web Data Management (63 citations)

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

  • Programming language
  • Database
  • Operating system

XML, Theoretical computer science, Programming language, Data mining and Probabilistic logic are his primary areas of study. His study in XML is interdisciplinary in nature, drawing from both Web service, Query language, Workflow, Database and Software engineering. He has researched Query language in several fields, including Knowledge representation and reasoning, Query optimization, Database theory and Operations research.

His Theoretical computer science research focuses on Semantics and how it relates to P and Data model. His Programming language research is multidisciplinary, incorporating elements of Document Structure Description, XML schema, XML validation and Streaming XML. Serge Abiteboul has included themes like XML Signature, Efficient XML Interchange and XML Schema Editor in his XML validation study.

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.

Top Publications

Foundations of databases

Serge Abiteboul;Richard Hull;Victor Vianu.
(1994)

5864 Citations

Foundations of Databases: The Logical Level

Serge Abiteboul;Richard Hull;Victor Vianu.
(1995)

5673 Citations

Data on the Web: From Relations to Semistructured Data and XML

Serge Abiteboul;Peter Buneman;Dan Suciu.
(1999)

2294 Citations

The Lorel Query Language for Semistructured Data

Serge Abiteboul;Dallan Quass;Jason McHugh;Jennifer Widom.
International Journal on Digital Libraries (1997)

1916 Citations

Updates, a new frontier

Serge Abiteboul.
international conference on database theory (1988)

1575 Citations

Querying Semi-Structured Data

Serge Abiteboul.
international conference on database theory (1997)

1519 Citations

Lore: a database management system for semistructured data

Jason McHugh;Serge Abiteboul;Roy Goldman;Dallas Quass.
international conference on management of data (1997)

1104 Citations

IFO: a formal semantic database model

Serge Abiteboul;Richard Hull.
ACM Transactions on Database Systems (1987)

787 Citations

Object identity as a query language primitive

Serge Abiteboul;Paris C. Kanellakis.
international conference on management of data (1989)

726 Citations

Objects and views

Serge Abiteboul;Anthony Bonner.
international conference on management of data (1991)

694 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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