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 53 Citations 58,721 96 World Ranking 3083 National Ranking 1606

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Software

His main research concerns Knowledge management, Multimedia, Ontology, World Wide Web and Knowledge sharing. His Knowledge management research is multidisciplinary, relying on both Routing and Function. His work deals with themes such as Speech input, Task, Human–computer interaction, Dialog box and Natural language, which intersect with Multimedia.

His Ontology and Process ontology, Upper ontology, Ontology chart, Ontology components and Ontology engineering investigations all form part of his Ontology research activities. His Upper ontology research is included under the broader classification of Artificial intelligence. In his study, Scheduling, State and Scratch is inextricably linked to Knowledge base, which falls within the broad field of Knowledge sharing.

His most cited work include:

  • A translation approach to portable ontology specifications (10282 citations)
  • Toward principles for the design of ontologies used for knowledge sharing (6496 citations)
  • A Translation Approach to Portable Ontologies (1748 citations)

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

Thomas R. Gruber mostly deals with Human–computer interaction, Knowledge management, Task, Knowledge acquisition and Speech input. His Human–computer interaction research is multidisciplinary, incorporating perspectives in User interface, Multimedia and Natural language. His Knowledge engineering and Knowledge sharing study, which is part of a larger body of work in Knowledge management, is frequently linked to Collaborative engineering, bridging the gap between disciplines.

He combines Knowledge sharing and Reuse in his studies. His work carried out in the field of Task brings together such families of science as Information retrieval and Data mining. His research in Speech recognition intersects with topics in Word, Text string and Natural language processing.

He most often published in these fields:

  • Human–computer interaction (28.30%)
  • Knowledge management (21.70%)
  • Task (17.92%)

What were the highlights of his more recent work (between 2015-2020)?

  • Human–computer interaction (28.30%)
  • Task (17.92%)
  • User input (8.49%)

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

Thomas R. Gruber focuses on Human–computer interaction, Task, User input, Context and Electronic data. His Human–computer interaction research integrates issues from Speech input, User interface, Representation, Identity and Extension. His User interface research includes elements of Interface, Computer data storage and Reading.

His research integrates issues of Natural language and Identification in his study of Task. In his papers, Thomas R. Gruber integrates diverse fields, such as Context, Process automation system and Reuse. His Electronic data research spans across into areas like Knowledge management, Information retrieval, Order, Telephone communication and Transmission.

Between 2015 and 2020, his most popular works were:

  • Intelligent automated assistant in a messaging environment (118 citations)
  • Dictation that allows editing (53 citations)
  • Unconventional virtual assistant interactions (52 citations)

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

  • Artificial intelligence
  • Programming language
  • Software

His primary scientific interests are in Human–computer interaction, User input, Dictation, Object and Set. He has researched Human–computer interaction in several fields, including Context, Task and Knowledge management. His User input research spans across into fields like State, Graphical user interface, Process and User intent.

His research ties Software and Object together.

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

A translation approach to portable ontology specifications

Thomas R. Gruber.
Knowledge Acquisition (1993)

22545 Citations

Toward principles for the design of ontologies used for knowledge sharing

Thomas R. Gruber.
International Journal of Human-computer Studies / International Journal of Man-machine Studies (1995)

12091 Citations

Enabling technology for knowledge sharing

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

2916 Citations

A Translation Approach to Portable Ontologies

Thomas R. Gruber.
Knowledge Acquisition (1993)

2817 Citations

Intelligent Automated Assistant

Thomas Robert Gruber;Adam John Cheyer;Dag Kittlaus;Didier Rene Guzzoni.
(2011)

1462 Citations

Collective knowledge systems: Where the Social Web meets the Semantic Web

Tom Gruber.
Journal of Web Semantics (2008)

1139 Citations

PACT: an experiment in integrating concurrent engineering systems

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

971 Citations

Using context information to facilitate processing of commands in a virtual assistant

Thomas Robert Gruber;Christopher Dean Brigham;Daniel S. Keen;Gregory Novick.
(2012)

925 Citations

Ontology of Folksonomy: A Mash-Up of Apples and Oranges

Thomas Gruber.
International Journal on Semantic Web and Information Systems (2007)

800 Citations

The role of common ontology in achieving sharable, reusable knowledge bases

Thomas R. Gruber.
principles of knowledge representation and reasoning (1991)

718 Citations

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