D-Index & Metrics Best Publications
Computer Science
Austria
2023

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 82 Citations 39,307 435 World Ranking 535 National Ranking 6

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Austria Leader Award

2022 - Research.com Computer Science in Austria Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Artificial intelligence
  • World Wide Web

The scientist’s investigation covers issues in World Wide Web, Semantic Web, Semantic Web Stack, Social Semantic Web and Data Web. The concepts of his World Wide Web study are interwoven with issues in Ontology and Process ontology. His Semantic Web study is concerned with the larger field of Information retrieval.

His Social Semantic Web study focuses on Semantic analytics in particular. His Data Web research includes themes of Web standards and Web intelligence. The Web standards study combines topics in areas such as Semantic computing and Web modeling.

His most cited work include:

  • Knowledge engineering: principles and methods (2550 citations)
  • The Semantic Web: Research and Applications (1994 citations)
  • Web Service Modeling Ontology (1068 citations)

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

His main research concerns World Wide Web, Semantic Web, Semantic Web Stack, Social Semantic Web and Data Web. Web service, Web standards, Web modeling, WSMO and WS-Policy are the core of his World Wide Web study. His Web standards course of study focuses on Web 2.0 and Web application security.

His Semantic Web research is multidisciplinary, incorporating elements of Ontology, Semantics and The Internet. His Ontology study combines topics in areas such as Ontology and Knowledge management. His biological study spans a wide range of topics, including Semantic computing and Semantic grid.

He most often published in these fields:

  • World Wide Web (52.46%)
  • Semantic Web (34.89%)
  • Semantic Web Stack (28.10%)

What were the highlights of his more recent work (between 2010-2021)?

  • World Wide Web (52.46%)
  • Semantic Web (34.89%)
  • Information retrieval (15.93%)

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

World Wide Web, Semantic Web, Information retrieval, Semantic Web Stack and Social Semantic Web are his primary areas of study. His World Wide Web study combines topics from a wide range of disciplines, such as Service provider and Service. The concepts of his Semantic Web study are interwoven with issues in Multimedia, Social web, Web modeling and Data Web.

His research investigates the connection between Data Web and topics such as Web standards that intersect with problems in Web intelligence, Web development, WS-Policy and Web 2.0. His Semantic Web Stack research incorporates elements of Semantic computing and Semantic grid. His Social Semantic Web research is multidisciplinary, relying on both SPARQL, Hypertext, Index and Knowledge representation and reasoning.

Between 2010 and 2021, his most popular works were:

  • Handbook of Semantic Web Technologies (99 citations)
  • Semantic Web Services (74 citations)
  • Sparkwave: continuous schema-enhanced pattern matching over RDF data streams (67 citations)

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

  • Programming language
  • Artificial intelligence
  • The Internet

Dieter Fensel focuses on World Wide Web, Semantic Web, The Internet, Semantic Web Stack and Schema.org. His research in Social Semantic Web and Web standards are components of World Wide Web. The various areas that Dieter Fensel examines in his Social Semantic Web study include Ontology engineering, Library science, Web 2.0 and Data Web.

His Data Web research is multidisciplinary, incorporating perspectives in Web intelligence and Web development. Dieter Fensel studies Semantic Web, focusing on RDF in particular. His Semantic Web Stack research focuses on subjects like Web modeling, which are linked to Data science.

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

Knowledge engineering: principles and methods

Rudi Studer;V. Richard Benjamins;V. Richard Benjamins;Dieter Fensel.
data and knowledge engineering (1998)

5864 Citations

The Semantic Web: Research and Applications

Christoph J. Bussler;John Davies;Dieter Fensel;Rudi Studer.
(2004)

3198 Citations

Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce

Dieter Andreas Fensel.
(2001)

1634 Citations

Web Service Modeling Ontology

Dumitru Roman;Uwe Keller;Holger Lausen;Jos de Bruijn.
Applied Ontology (2005)

1526 Citations

The Web Service Modeling Framework WSMF

Dieter Fensel;Christoph Bussler.
Electronic Commerce Research and Applications (2002)

1478 Citations

OIL: an ontology infrastructure for the Semantic Web

D. Fensel;F. van Harmelen;I. Horrocks;D.L. McGuinness.
IEEE Intelligent Systems (2001)

1286 Citations

The Semantic Web: the roles of XML and RDF

S. Decker;S. Melnik;F. van Harmelen;D. Fensel.
IEEE Internet Computing (2000)

1280 Citations

Towards the Semantic Web: Ontology-driven Knowledge Management

John Davies;Dieter Fensel;Frank van Harmelen.
(2002)

1181 Citations

Towards the Semantic Web

John Davies;Dieter Fensel;Frank Van Harmelen.
(2002)

1150 Citations

The Semantic Web - ISWC 2003

Dieter Fensel;Katia Sycara;John Mylopoulos.
(2003)

907 Citations

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