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 46 Citations 7,945 203 World Ranking 3428 National Ranking 70

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Artificial intelligence
  • Epistemology

The scientist’s investigation covers issues in Ontology, Ontology, Artificial intelligence, Natural language processing and Software engineering. His research investigates the connection with Ontology and areas like Domain which intersect with concerns in Modeling language. His Ontology research incorporates themes from Knowledge management, Context, Conceptual model and Formal ontology.

His Artificial intelligence study integrates concerns from other disciplines, such as Information system and Counting problem. In his study, Correctness and Metamodeling is strongly linked to Unified Modeling Language, which falls under the umbrella field of Natural language processing. His Software engineering research incorporates elements of Business Process Model and Notation, Artifact-centric business process model, Business process modeling and Systems engineering.

His most cited work include:

  • Ontological foundations for structural conceptual models (748 citations)
  • On Ontology, ontologies, Conceptualizations, Modeling Languages, and (Meta)Models (176 citations)
  • An ontological approach to domain engineering (148 citations)

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

Ontology, Ontology, Artificial intelligence, Software engineering and Natural language processing are his primary areas of study. His Ontology research is multidisciplinary, incorporating elements of Domain, Data science and Knowledge management. His study in Ontology is interdisciplinary in nature, drawing from both Class diagram, Formal ontology and Metamodeling.

His work in Artificial intelligence covers topics such as Modeling language which are related to areas like Representation. In his work, Interoperability is strongly intertwined with Software, which is a subfield of Software engineering. His work investigates the relationship between Natural language processing and topics such as Unified Modeling Language that intersect with problems in Theoretical computer science.

He most often published in these fields:

  • Ontology (41.91%)
  • Ontology (28.71%)
  • Artificial intelligence (25.08%)

What were the highlights of his more recent work (between 2018-2021)?

  • Ontology (41.91%)
  • Ontology (28.71%)
  • Data science (16.83%)

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

His main research concerns Ontology, Ontology, Data science, Knowledge management and Domain. Giancarlo Guizzardi studies Core ontology which is a part of Ontology. His work deals with themes such as Multiple inheritance, Theoretical computer science and Focus, which intersect with Ontology.

His Data science research includes themes of Process modeling, Business Process Model and Notation and Conformance checking. The study incorporates disciplines such as Conceptual model, State and Systems engineering, Reference model in addition to Domain. His Expression research is multidisciplinary, relying on both Artificial intelligence and Natural language processing.

Between 2018 and 2021, his most popular works were:

  • Comparing traditional conceptual modeling with ontology-driven conceptual modeling: An empirical study (25 citations)
  • FAIR principles : interpretations and implementation considerations (21 citations)
  • Ontology, Ontologies and the “I” of FAIR (14 citations)

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

  • Programming language
  • Artificial intelligence
  • Epistemology

His primary areas of investigation include Ontology, Ontology, Knowledge management, Modeling language and Service. Ontology is the subject of his research, which falls under Artificial intelligence. His Ontology study combines topics in areas such as Event, Class diagram and Data science.

The concepts of his Data science study are interwoven with issues in Context, Business domain, Upper ontology and Metamodeling. His Knowledge management research integrates issues from Database transaction, Conceptual model and Empirical research. The various areas that Giancarlo Guizzardi examines in his Modeling language study include Unified Modeling Language, Theoretical computer science, Context model and Object-oriented modeling.

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

Ontological foundations for structural conceptual models

Giancarlo Guizzardi.
(2005)

1465 Citations

On Ontology, ontologies, Conceptualizations, Modeling Languages, and (Meta)Models

Giancarlo Guizzardi.
Proceedings of the 2007 conference on Databases and Information Systems IV: Selected Papers from the Seventh International Baltic Conference DB&IS'2006 (2007)

382 Citations

Grounding Software Domain Ontologies in the Unified Foundational Ontology (UFO): The case of the ODE Software Process Ontology.

Giancarlo Guizzardi;Ricardo de Almeida Falbo;Renata S. S. Guizzardi.
conferencia iberoamericana de software engineering (2008)

253 Citations

An ontological approach to domain engineering

Ricardo de Almeida Falbo;Giancarlo Guizzardi;Katia Cristina Duarte.
software engineering and knowledge engineering (2002)

226 Citations

An ontologically well-founded profile for UML conceptual models

Giancarlo Guizzardi;Gerd Wagner;Nicola Guarino;Marten van Sinderen.
conference on advanced information systems engineering (2004)

169 Citations

On the General Ontological Foundations of Conceptual Modeling

Giancarlo Guizzardi;Heinrich Herre;Gerd Wagner.
international conference on conceptual modeling (2002)

165 Citations

Towards ontological foundations for conceptual modeling: The unified foundational ontology (UFO) story

Giancarlo Guizzardi;Gerd Wagner;João Paulo Andrade Almeida;Renata S. S. Guizzardi.
Applied Ontology (2015)

159 Citations

Towards Ontological Foundations for the Conceptual Modeling of Events

Giancarlo Guizzardi;Gerd Wagner;Ricardo Almeida Falbo;Renata S. Guizzardi.
international conference on conceptual modeling (2013)

149 Citations

Using the Unified Foundational Ontology (UFO) as a Foundation for General Conceptual Modeling Languages

Giancarlo Guizzardi;Gerd Wagner.
(2010)

135 Citations

A Unified Foundational Ontology and some Applications of it in Business Modeling.

Giancarlo Guizzardi;Gerd Wagner.
CAiSE Workshops (3) (2004)

132 Citations

Best Scientists Citing Giancarlo Guizzardi

Xavier Franch

Xavier Franch

Universitat Politècnica de Catalunya

Publications: 20

Marten van Sinderen

Marten van Sinderen

University of Twente

Publications: 19

Brian Henderson-Sellers

Brian Henderson-Sellers

University of Technology Sydney

Publications: 19

Oscar Pastor

Oscar Pastor

Universitat Politècnica de València

Publications: 18

Jan C. Recker

Jan C. Recker

Universität Hamburg

Publications: 17

John Mylopoulos

John Mylopoulos

University of Ottawa

Publications: 16

Nicola Guarino

Nicola Guarino

National Research Council (CNR)

Publications: 11

Michael Rosemann

Michael Rosemann

Queensland University of Technology

Publications: 11

Gerd Wagner

Gerd Wagner

Brandenburg University of Technology

Publications: 11

Riichiro Mizoguchi

Riichiro Mizoguchi

Japan Advanced Institute of Science and Technology

Publications: 9

Robert Hoehndorf

Robert Hoehndorf

King Abdullah University of Science and Technology

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Leendert van der Torre

Leendert van der Torre

University of Luxembourg

Publications: 8

Anna Perini

Anna Perini

Fondazione Bruno Kessler

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Jan Vanthienen

Jan Vanthienen

KU Leuven

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Mirko Viroli

Mirko Viroli

University of Bologna

Publications: 7

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

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