H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 83 Citations 33,851 414 World Ranking 377 National Ranking 22

Overview

What is she best known for?

The fields of study she is best known for:

  • Operating system
  • The Internet
  • World Wide Web

Carole Goble mostly deals with World Wide Web, Workflow, Ontology, Data science and Bioinformatics. Semantic Web, Web service, Web standards, Metadata and Semantic grid are among the areas of World Wide Web where Carole Goble concentrates her study. Her Workflow research is multidisciplinary, incorporating elements of Grid computing, Service discovery and The Internet.

Her study explores the link between Ontology and topics such as Annotation that cross with problems in e-Science. The various areas that Carole Goble examines in her Data science study include Context, RDF, Collaborative software, Knowledge management and Set. Her Bioinformatics research includes themes of Description logic, Executable, Middleware, Construct and Data integration.

Her most cited work include:

  • The FAIR Guiding Principles for scientific data management and stewardship (3142 citations)
  • Taverna: a tool for building and running workflows of services (840 citations)
  • Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation. (760 citations)

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

Her main research concerns World Wide Web, Workflow, Data science, Information retrieval and Semantic Web. Her World Wide Web research focuses on Web service, Social Semantic Web, Metadata, Semantic grid and Semantic Web Stack. The study incorporates disciplines such as Context, Software engineering and Reuse in addition to Workflow.

Her research integrates issues of Interoperability and Process in her study of Data science. Her work on Ontology as part of general Information retrieval study is frequently linked to Provenance, therefore connecting diverse disciplines of science. Her studies deal with areas such as Annotation and Bioinformatics as well as Ontology.

She most often published in these fields:

  • World Wide Web (37.74%)
  • Workflow (27.65%)
  • Data science (17.39%)

What were the highlights of her more recent work (between 2014-2021)?

  • Workflow (27.65%)
  • Data science (17.39%)
  • Interoperability (6.43%)

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

Carole Goble mainly investigates Workflow, Data science, Interoperability, Software engineering and World Wide Web. Her Workflow research integrates issues from Linked data and Software. Her work deals with themes such as Domain, Context, Data management and Relevance, which intersect with Data science.

Her research investigates the connection with Data management and areas like Stewardship which intersect with concerns in Data curation. Her Interoperability research includes themes of Reuse, Guiding Principles and Best practice. Her World Wide Web study combines topics from a wide range of disciplines, such as e-Science and Identifier.

Between 2014 and 2021, her most popular works were:

  • The FAIR Guiding Principles for scientific data management and stewardship (3142 citations)
  • An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals (84 citations)
  • Using a suite of ontologies for preserving workflow-centric research objects (75 citations)

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

  • Operating system
  • The Internet
  • Software

The scientist’s investigation covers issues in Software, Workflow, Reuse, Guiding Principles and Data science. The concepts of her Workflow study are interwoven with issues in Service design, Metadata, Software engineering and Documentation. Her study on Metadata is covered under World Wide Web.

Her studies in Reuse integrate themes in fields like Table and Bioinformatics. Her Guiding Principles study also includes fields such as

  • Stewardship that connect with fields like Data curation and Engineering ethics,
  • Findability which intersects with area such as Implementation. The Data science study combines topics in areas such as Data management, Service and Mathematical problem.

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

Comment: The FAIR Guiding Principles for scientific data management and stewardship

Mark D. Wilkinson;Michel Dumontier;Ijsbrand Jan Aalbersberg;Gabrielle Appleton.
Scientific Data (2019)

3153 Citations

The FAIR Guiding Principles for scientific data management and stewardship

Mark D. Wilkinson;Michel Dumontier;Ijsbrand Jan Aalbersberg;Gabrielle Appleton.
Scientific Data (2016)

3152 Citations

Taverna: a tool for building and running workflows of services

Duncan Hull;Katy Wolstencroft;Robert Stevens;Carole A Goble.
Nucleic Acids Research (2006)

1244 Citations

Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation.

Phillip W. Lord;Robert D. Stevens;Andy Brass;Carole A. Goble.
Bioinformatics (2003)

1039 Citations

Taverna: lessons in creating a workflow environment for the life sciences

Thomas M. Oinn;R. Mark Greenwood;Matthew Addis;M. Nedim Alpdemir.
Concurrency and Computation: Practice and Experience (2006)

947 Citations

The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud

Katherine Wolstencroft;Robert Haines;Donal Fellows;Alan R. Williams.
Nucleic Acids Research (2013)

756 Citations

Examining the Challenges of Scientific Workflows

Y. Gil;E. Deelman;M. Ellisman;T. Fahringer.
IEEE Computer (2007)

733 Citations

OilEd: A Reason-able Ontology Editor for the Semantic Web

Sean Bechhofer;Ian Horrocks;Carole A. Goble;Robert Stevens.
Description Logics (2001)

707 Citations

The design and realisation of the Experimentmy Virtual Research Environment for social sharing of workflows

David De Roure;Carole Goble;Robert Stevens.
Future Generation Computer Systems (2009)

547 Citations

myGrid: personalised bioinformatics on the information grid

Robert D. Stevens;Alan J. Robinson;Carole A. Goble.
intelligent systems in molecular biology (2003)

539 Citations

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Best Scientists Citing Carole Goble

Yolanda Gil

Yolanda Gil

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Robert Stevens

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Luc Moreau

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Susanna-Assunta Sansone

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University of Illinois at Urbana-Champaign

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Ian Horrocks

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Michel Dumontier

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Maastricht University

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Paul Groth

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Ewa Deelman

Ewa Deelman

University of Southern California

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Marta Mattoso

Marta Mattoso

Federal University of Rio de Janeiro

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Philippe Rocca-Serra

Philippe Rocca-Serra

University of Oxford

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Oscar Corcho

Oscar Corcho

Technical University of Madrid

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Ian Foster

Ian Foster

University of Chicago

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Olivier Bodenreider

Olivier Bodenreider

National Institutes of Health

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David De Roure

David De Roure

University of Oxford

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Henning Hermjakob

Henning Hermjakob

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