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 35 Citations 6,519 232 World Ranking 7539 National Ranking 446

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Software
  • Programming language

Simon Miles mostly deals with Provenance, World Wide Web, Workflow, Process and Software engineering. In his work, Simon Miles performs multidisciplinary research in Provenance and Set. His studies in World Wide Web integrate themes in fields like Quality, Epoch, Data model and Access control.

Simon Miles has researched Workflow in several fields, including Web service, Data mining, Security domain, Software agent and Data science. His work deals with themes such as Annotation, Intelligent agent, Grid computing, Multi-agent system and Documentation, which intersect with Process. His Software engineering research includes themes of e-Science, Programming language, Architecture and Reference architecture.

His most cited work include:

  • The Open Provenance Model core specification (v1.1) (560 citations)
  • PROV-DM: The PROV Data Model (219 citations)
  • A Trace-Driven Analysis of Caching in Content-Centric Networks (205 citations)

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

His main research concerns World Wide Web, Provenance, Process, Software engineering and Multi-agent system. His World Wide Web study which covers Service that intersects with Quality of service. His Provenance research incorporates a variety of disciplines, including Database and Data science.

His study looks at the intersection of Process and topics like Workflow with e-Science. His Multi-agent system study incorporates themes from Autonomous agent, Management science and Knowledge management. His study in the field of Technical documentation is also linked to topics like Internal documentation.

He most often published in these fields:

  • World Wide Web (23.27%)
  • Provenance (14.69%)
  • Process (14.69%)

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

  • Multi-agent system (10.61%)
  • Distributed computing (7.35%)
  • Service (10.61%)

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

Simon Miles spends much of his time researching Multi-agent system, Distributed computing, Service, Autonomous agent and Resource. His research in Multi-agent system intersects with topics in Formal verification and Management science. His work on Service provider as part of general Service research is frequently linked to Work, thereby connecting diverse disciplines of science.

His Autonomous agent research includes elements of Computer security and World Wide Web. The World Wide Web study combines topics in areas such as Requirements analysis and Usability. Simon Miles incorporates Provenance and Data science in his research.

Between 2014 and 2021, his most popular works were:

  • The rationale of PROV (53 citations)
  • Adaptive composition in dynamic service environments (21 citations)
  • Engineering the emergence of norms: a review (12 citations)

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

  • Artificial intelligence
  • Software
  • Programming language

Simon Miles mainly focuses on Service, Computer security, Distributed computing, Multi-agent system and Risk analysis. The various areas that he examines in his Computer security study include Autonomous agent and Legal aspects of computing. Within one scientific family, he focuses on topics pertaining to Resource under Distributed computing, and may sometimes address concerns connected to Evaluation function and Grid resources.

His studies in Multi-agent system integrate themes in fields like Compliance, Software deployment and Theoretical computer science. His Risk analysis research integrates issues from Bounded function and Norm. His Quality of service research also works with subjects such as

  • Adaptation, which have a strong connection to Quality,
  • Self-management that intertwine with fields like Knowledge management.

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)

989 Citations

PROV-DM: The PROV Data Model

Khalid Belhajjame;Reza B'Far;James Cheney;Sam Coppens.
(2013)

322 Citations

The provenance of electronic data

Luc Moreau;Paul Groth;Simon Miles;Javier Vazquez-Salceda.
Communications of The ACM (2008)

304 Citations

The First Provenance Challenge

Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga.
(2008)

285 Citations

Special Issue: The First Provenance Challenge

Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga.
Concurrency and Computation: Practice and Experience (2008)

284 Citations

The requirements of using provenance in e-Science experiments

Simon Miles;Paul T. Groth;Miguel Branco;Luc Moreau.
Journal of Grid Computing (2007)

280 Citations

A Trace-Driven Analysis of Caching in Content-Centric Networks

Gareth Tyson;Sebastian Kaune;Simon Miles;Yehia El-khatib.
international conference on computer communications and networks (2012)

261 Citations

An Architecture for Provenance Systems

Paul Groth;Sheng Jiang;Simon Miles;Steve Munroe.
(2006)

201 Citations

Electronically querying for the provenance of entities

Simon Miles.
international provenance and annotation workshop (2006)

191 Citations

Automating experiments using semantic data in a bioinformatics grid

C. Wroe;C. Goble;M. Greenwood;P. Lord.
IEEE Intelligent Systems (2004)

128 Citations

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