H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 4,628 214 World Ranking 6919 National Ranking 3278

Research.com Recognitions

Awards & Achievements

2012 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Operating system
  • Software

Jeff Gray mainly investigates Programming language, Software engineering, Software, Source code and Software development. His Programming language specification research extends to Programming language, which is thematically connected. His study in the field of Component also crosses realms of Reuse.

His work carried out in the field of Source code brings together such families of science as Windows NT, Kernel, Clone and Static program analysis. His Software development research includes elements of Aspect-oriented programming, Modeling language and Domain-specific language. He has researched Modeling language in several fields, including Interpreter and Semantics.

His most cited work include:

  • Handling crosscutting constraints in domain-specific modeling (133 citations)
  • DSMDiff: a differentiation tool for domain-specific models (105 citations)
  • Learnable programming: blocks and beyond (102 citations)

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

His primary areas of investigation include Software engineering, Programming language, Software development, Modeling language and Software. Jeff Gray combines subjects such as Systems engineering, Component-based software engineering, Separation of concerns and Software development process with his study of Software engineering. Programming language is often connected to Abstraction in his work.

His Software development study often links to related topics such as Software system. Specifically, his work in Modeling language is concerned with the study of Domain-specific modeling. Jeff Gray studies Software, namely Model-driven architecture.

He most often published in these fields:

  • Software engineering (32.66%)
  • Programming language (29.19%)
  • Software development (16.18%)

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

  • Software engineering (32.66%)
  • Curriculum (3.76%)
  • Professional development (3.18%)

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

His primary scientific interests are in Software engineering, Curriculum, Professional development, Programming language and Engineering ethics. His studies deal with areas such as Domain-specific modeling, Software development and State as well as Software engineering. His research integrates issues of Domain-specific language and Code generation in his study of Domain-specific modeling.

Jeff Gray undertakes interdisciplinary study in the fields of Software development and Model transformation through his research. His research investigates the connection between Professional development and topics such as Mathematics education that intersect with problems in Certification. His Programming language study frequently intersects with other fields, such as Scalability.

Between 2014 and 2021, his most popular works were:

  • Learnable programming: blocks and beyond (102 citations)
  • Blockly Language Creation and Applications: Visual Programming for Media Computation and Bluetooth Robotics Control (28 citations)
  • Models for digitalization (23 citations)

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

  • Programming language
  • Operating system
  • Software

Jeff Gray mostly deals with Software engineering, Programming language, World Wide Web, Engineering ethics and Professional development. Jeff Gray usually deals with Software engineering and limits it to topics linked to Software development and Design pattern and Software design pattern. Debugging is the focus of his Programming language research.

His World Wide Web study combines topics from a wide range of disciplines, such as Cloud computing and Data science. His Scalability research is multidisciplinary, incorporating elements of Domain model, Metamodeling and Code refactoring. His biological study spans a wide range of topics, including Software system and Software.

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

Handling crosscutting constraints in domain-specific modeling

Jeff Gray;Ted Bapty;Sandeep Neema;James Tuck.
Communications of The ACM (2001)

218 Citations

Learnable programming: blocks and beyond

David Bau;Jeff Gray;Caitlin Kelleher;Josh Sheldon.
Communications of The ACM (2017)

184 Citations

DSMDiff: a differentiation tool for domain-specific models

Yuehua Lin;Jeff Gray;Frédéric Jouault;Frédéric Jouault.
European Journal of Information Systems (2007)

181 Citations

Models for digitalization

Jeff Gray;Bernhard Rumpe.
Software and Systems Modeling (2015)

151 Citations

Generic and Domain-Specific Model Refactoring Using a Model Transformation Engine

Jing Zhang;Yuehua Lin;Jeff Gray.
Model-Driven Software Development (2005)

144 Citations

Composition and cloning in modeling and meta-modeling

G. Karsai;M. Maroti;A. Ledeczi;J. Gray.
IEEE Transactions on Control Systems and Technology (2004)

136 Citations

Model Transformation by Demonstration

Yu Sun;Jules White;Jeff Gray.
model driven engineering languages and systems (2009)

116 Citations

A Testing Framework for Model Transformations

Yuehua Lin;Jing Zhang;Jeff Gray.
Model-Driven Software Development (2005)

114 Citations

Automating change evolution in model-driven engineering

J. Gray;Y. Lin;J. Zhang.
IEEE Computer (2006)

110 Citations

An approach for supporting aspect-oriented domain modeling

Jeff Gray;Ted Bapty;Sandeep Neema;Douglas C. Schmidt.
generative programming and component engineering (2003)

110 Citations

Editorial Boards

Software & Systems Modeling
(Impact Factor: 2.211)

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Autonomous University of Madrid

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Chanchal K. Roy

University of Saskatchewan

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Douglas C. Schmidt

Vanderbilt University

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University of Montreal

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Marouane Kessentini

University of Michigan–Ann Arbor

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RWTH Aachen University

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Royal Institute of Technology

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Vanderbilt University

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Jordi Cabot

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