D-Index & Metrics Best Publications

D-Index & Metrics

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 13,919 72 World Ranking 6637 National Ranking 3161

Research.com Recognitions

Awards & Achievements

1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Database

Richard Fikes spends much of his time researching Knowledge base, Knowledge-based systems, Artificial intelligence, Open Knowledge Base Connectivity and Frame. His work carried out in the field of Knowledge base brings together such families of science as Knowledge sharing and Knowledge management. His research in Knowledge-based systems intersects with topics in Software engineering, Architecture and Process.

His work on Semantic Web Rule Language as part of general Artificial intelligence study is frequently linked to Web query classification, therefore connecting diverse disciplines of science. His Open Knowledge Base Connectivity investigation overlaps with other areas such as Domain knowledge, Interoperability and Knowledge representation and reasoning. His studies deal with areas such as Representation, Theoretical computer science, Inference and Protocol as well as Frame.

His most cited work include:

  • Strips: A new approach to the application of theorem proving to problem solving (2573 citations)
  • STRIPS: a new approach to the application of theorem proving to problem solving (1546 citations)
  • Enabling technology for knowledge sharing (1342 citations)

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

Artificial intelligence, Knowledge representation and reasoning, Knowledge base, Programming language and World Wide Web are his primary areas of study. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Inheritance and Natural language processing. Richard Fikes interconnects Knowledge management, Knowledge engineering, Knowledge extraction and Data science in the investigation of issues within Knowledge base.

His research investigates the connection with Programming language and areas like Theoretical computer science which intersect with concerns in Semantics, Frame, Semantics and Inference. His work in World Wide Web addresses issues such as Ontology, which are connected to fields such as Representation and Information integration. His STRIPS research integrates issues from Discrete mathematics, Graphplan, Partial-order planning and Calculus.

He most often published in these fields:

  • Artificial intelligence (22.68%)
  • Knowledge representation and reasoning (17.53%)
  • Knowledge base (17.53%)

What were the highlights of his more recent work (between 2004-2020)?

  • Information retrieval (12.37%)
  • Knowledge base (17.53%)
  • World Wide Web (14.43%)

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

His primary areas of study are Information retrieval, Knowledge base, World Wide Web, Information integration and Process. In his works, Richard Fikes conducts interdisciplinary research on Knowledge base and Open Knowledge Base Connectivity. Open Knowledge Base Connectivity and Artificial intelligence are two areas of study in which he engages in interdisciplinary work.

His work on Web design, Collaborative software, Query expansion and Semantic Web Rule Language as part of general World Wide Web research is frequently linked to Web query classification, bridging the gap between disciplines. His Information integration research includes themes of Query language and Cognitive models of information retrieval. His Data science research focuses on subjects like Semantic HTML, which are linked to Ontology.

Between 2004 and 2020, his most popular works were:

  • Enterprise a Market-Like Task Scheduler for Distributed Computing Environments (202 citations)
  • Integration of heterogeneous knowledge sources in the CALO query manager (171 citations)
  • Design and implementation of the CALO query manager (152 citations)

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

  • Artificial intelligence
  • Programming language
  • Database

Richard Fikes mainly focuses on Web query classification, Query expansion, Distributed computing, Heuristic programming and PALO. Among his research on Web query classification, you can see a combination of other fields of science like Query plan, Information integration, Query language, World Wide Web and Suite. His Query expansion research is multidisciplinary, relying on both Query optimization, Database and Architecture.

His studies in Distributed computing integrate themes in fields like Intelligent decision support system and Task.

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

Strips: A new approach to the application of theorem proving to problem solving

Richard E. Fikes;Nils J. Nilsson.
Artificial Intelligence (1971)

4288 Citations

Enabling technology for knowledge sharing

Robert Neches;Richard Fikes;Tim Finin;Tom Gruber.
Ai Magazine (1991)

2752 Citations

Learning and executing generalized robot plans

Richard E. Fikes;Peter E. Hart;Nils J. Nilsson.
Artificial Intelligence (1993)

1577 Citations

The role of frame-based representation in reasoning

Richard Fikes;Tom Kehler.
Communications of The ACM (1985)

1173 Citations

PACT: an experiment in integrating concurrent engineering systems

M.R. Cutkosky;R.S. Engelmore;R.E. Fikes;M.R. Genesereth.
IEEE Computer (1993)

950 Citations

An environment for merging and testing large ontologies

Deborah L. McGuinness;Richard Fikes;James Rice;Steve Wilder.
principles of knowledge representation and reasoning (2000)

893 Citations

OKBC: a programmatic foundation for knowledge base interoperability

Vinay K. Chaudhri;Adam Farquhar;Richard Fikes;Peter D. Karp.
national conference on artificial intelligence (1998)

501 Citations

The DARPA knowledge sharing effort: progress report

Ramesh S. Patil;Richard E. Fikes;Peter F. Patel-Schneider;Don McKay.
principles of knowledge representation and reasoning (1997)

472 Citations

DAML+OIL: an ontology language for the Semantic Web

D.L. Mcguinness;R. Fikes;J. Hendler;L.A. Stein.
IEEE Intelligent Systems (2002)

452 Citations

OWL-QL-a language for deductive query answering on the Semantic Web

Richard Fikes;Patrick Hayes;Ian Horrocks.
Journal of Web Semantics (2004)

438 Citations

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Best Scientists Citing Richard Fikes

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Deborah L. McGuinness

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Natalya F. Noy

Google (United States)

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Leslie Pack Kaelbling

Leslie Pack Kaelbling

MIT

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Ioannis Vlahavas

Ioannis Vlahavas

Aristotle University of Thessaloniki

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Stuart E. Madnick

Stuart E. Madnick

MIT

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Dieter Fensel

University of Innsbruck

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Sheila A. McIlraith

Sheila A. McIlraith

University of Toronto

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Tim Finin

University of Maryland, Baltimore County

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Michael Thielscher

UNSW Sydney

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Weiming Shen

Weiming Shen

University of Western Ontario

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James A. Hendler

James A. Hendler

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