H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 5,426 151 World Ranking 8076 National Ranking 472

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Artificial intelligence
  • Database

Paolo Missier mainly focuses on Workflow, World Wide Web, Provenance, Software engineering and Workflow management system. His Workflow research incorporates elements of Data domain, Data processing, Service and Data science. His Linked data study in the realm of World Wide Web connects with subjects such as Point.

His Provenance study spans across into areas like Database, Extension, Information retrieval and Metadata. His Workflow management system research integrates issues from Extensibility, Programming language, Syntax, Workflow engine and Workflow technology. His Programming language research is multidisciplinary, incorporating perspectives in Computational linguistics and Semantics.

His most cited work include:

  • The Open Provenance Model core specification (v1.1) (560 citations)
  • Why linked data is not enough for scientists (251 citations)
  • Taverna, reloaded (125 citations)

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

His main research concerns Workflow, World Wide Web, Data science, Provenance and Information retrieval. His biological study spans a wide range of topics, including Cloud computing and Software engineering. Paolo Missier conducts interdisciplinary study in the fields of Software engineering and Reuse through his research.

His Data science study integrates concerns from other disciplines, such as e-Science, Social media, Information quality and Big data. While the research belongs to areas of Information quality, Paolo Missier spends his time largely on the problem of Data quality, intersecting his research to questions surrounding Data mining. In his works, Paolo Missier performs multidisciplinary study on Provenance and Database.

He most often published in these fields:

  • Workflow (29.10%)
  • World Wide Web (20.08%)
  • Data science (18.03%)

What were the highlights of his more recent work (between 2016-2021)?

  • Data science (18.03%)
  • Theoretical computer science (6.56%)
  • Artificial intelligence (6.15%)

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

The scientist’s investigation covers issues in Data science, Theoretical computer science, Artificial intelligence, Machine learning and Provenance. His work carried out in the field of Data science brings together such families of science as Value, Social media, Metadata and Big data. The various areas that Paolo Missier examines in his Big data study include Workflow, Data analysis and Reference architecture.

His Workflow research is multidisciplinary, relying on both Graph, Correctness, Mode, Software and Programming paradigm. Paolo Missier integrates many fields, such as Provenance, Data modeling, Evolutionary biology, Informatics, Lineage and Information retrieval, in his works. Paolo Missier has included themes like Software engineering, Set and Pruning in his Scalability study.

Between 2016 and 2021, his most popular works were:

  • Mind my value: a decentralized infrastructure for fair and trusted IoT data trading (27 citations)
  • Targeted therapies for congenital myasthenic syndromes: systematic review and steps towards a treatabolome (21 citations)
  • VazaDengue: An information system for preventing and combating mosquito-borne diseases with social networks (16 citations)

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

  • Artificial intelligence
  • Programming language
  • Operating system

Paolo Missier focuses on Theoretical computer science, Computer security, Machine learning, Artificial intelligence and Data structure. His Theoretical computer science research is multidisciplinary, incorporating elements of Simple, Rule of inference and Benchmark. His work on Smart contract as part of general Computer security research is often related to Revenue and Flourishing, thus linking different fields of science.

His Machine learning research spans across into fields like Observational study, Medical history, Pneumonia, Mechanical ventilation and Respiratory failure. His research in the fields of Deep learning and Deep neural networks overlaps with other disciplines such as Culex and Aedes aegypti. The Data structure study combines topics in areas such as Python, Hash function and Graph database.

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

The Open Provenance Model core specification (v1.1)

Luc Moreau;Ben Clifford;Juliana Freire;Joe Futrelle.
Future Generation Computer Systems (2011)

943 Citations

Why linked data is not enough for scientists

Sean Bechhofer;Iain Buchan;David De Roure;Paolo Missier.
Future Generation Computer Systems (2013)

414 Citations

Why Linked Data is Not Enough for Scientists

Sean Bechhofer;John Ainsworth;Jiten Bhagat;Iain Buchan.
international conference on e-science (2010)

409 Citations

Taverna, reloaded

Paolo Missier;Stian Soiland-Reyes;Stuart Owen;Wei Tan.
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management (2010)

226 Citations

The W3C PROV family of specifications for modelling provenance metadata

Paolo Missier;Khalid Belhajjame;James Cheney.
extending database technology (2013)

169 Citations

Workflow-Centric Research Objects: A First Class Citizen in the Scholarly Discourse

K Belhajjame;O Corcho;D Garijo;J Zhao.
In: ESWC2012 Workshop on the Future of Scholarly Communication in the Semantic Web (SePublica2012); Heraklion, Greece. 2012. (2012)

159 Citations

Workflow-centric research objects: First class citizens in scholarly discourse.

Khalid Belhajjame;Oscar Corcho;Daniel Garijo;Jun Zhao.
extended semantic web conference (2012)

159 Citations

Data Quality at a Glance

P Missier;M Scannapieco;C Batini.
Datenbank-spektrum (2005)

154 Citations

An overview of S-OGSA: A Reference Semantic Grid Architecture

Oscar Corcho;Pinar Alper;Ioannis Kotsiopoulos;Paolo Missier.
Journal of Web Semantics (2006)

150 Citations

Taverna Workflows: Syntax and Semantics

D. Turi;P. Missier;C. Goble;D. De Roure.
international conference on e science (2007)

127 Citations

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Best Scientists Citing Paolo Missier

Carole Goble

Carole Goble

University of Manchester

Publications: 52

Oscar Corcho

Oscar Corcho

Technical University of Madrid

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Marta Mattoso

Marta Mattoso

Federal University of Rio de Janeiro

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Bertram Ludäscher

Bertram Ludäscher

University of Illinois at Urbana-Champaign

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Luc Moreau

Luc Moreau

King's College London

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Yolanda Gil

Yolanda Gil

University of Southern California

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David De Roure

David De Roure

University of Oxford

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Paul Groth

Paul Groth

University of Amsterdam

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Beth Plale

Beth Plale

Indiana University

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James Cheney

James Cheney

University of Edinburgh

Publications: 20

Jun Zhao

Jun Zhao

University of Oxford

Publications: 16

Shawn Bowers

Shawn Bowers

Gonzaga University

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Shiyong Lu

Shiyong Lu

Wayne State University

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Simon Miles

Simon Miles

King's College London

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Andreas Rauber

Andreas Rauber

TU Wien

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Ian Foster

Ian Foster

University of Chicago

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