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
Engineering and Technology D-index 30 Citations 4,414 151 World Ranking 7245 National Ranking 2395

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Social science
  • Mechanical engineering

Her primary areas of investigation include Engineering design process, Variety, Management science, Fixation and Analogy. Her Engineering design process research is multidisciplinary, incorporating perspectives in Knowledge management, Conceptual design, Design methods and Artificial intelligence. Her Design methods study also includes

  • Perception which is related to area like Systems engineering,
  • Domain knowledge which connect with Architecture.

In most of her Artificial intelligence studies, her work intersects topics such as Human–computer interaction. As part of one scientific family, she deals mainly with the area of Variety, narrowing it down to issues related to the Novelty, and often Quality. Her Analogy research integrates issues from Representation and Process.

Her most cited work include:

  • A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty (254 citations)
  • An Experimental Study of Group Idea Generation Techniques: Understanding the Roles of Idea Representation and Viewing Methods (162 citations)
  • Modality and representation in analogy (144 citations)

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

Julie S. Linsey mainly investigates Engineering design process, Human–computer interaction, Systems engineering, Management science and Mathematics education. Julie S. Linsey has researched Engineering design process in several fields, including Curriculum, Function, Artificial intelligence, Analogy and Novelty. Her research investigates the link between Novelty and topics such as Variety that cross with problems in Quality.

Her Human–computer interaction research is multidisciplinary, relying on both Design education and Multimedia. Her Systems engineering research focuses on Engineering management and how it relates to Knowledge management. As part of the same scientific family, Julie S. Linsey usually focuses on Mathematics education, concentrating on Creativity and intersecting with Engineering education.

She most often published in these fields:

  • Engineering design process (28.87%)
  • Human–computer interaction (19.59%)
  • Systems engineering (14.43%)

What were the highlights of her more recent work (between 2017-2021)?

  • Mathematics education (12.89%)
  • Engineering design process (28.87%)
  • Human–computer interaction (19.59%)

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

Julie S. Linsey focuses on Mathematics education, Engineering design process, Human–computer interaction, Sketch and Intelligent tutoring system. Her Mathematics education research is multidisciplinary, incorporating elements of Grounded theory, Creativity, Toolbox and Graduate students. Her work in Grounded theory addresses subjects such as Variety, which are connected to disciplines such as Mechanical engineering.

The study incorporates disciplines such as Conceptual design, Self-efficacy, Simulation and Curriculum in addition to Engineering design process. Her research investigates the connection between Human–computer interaction and topics such as Spatial Visualization that intersect with issues in Engineering curricula. Her Function study integrates concerns from other disciplines, such as Machine learning and Artificial intelligence.

Between 2017 and 2021, her most popular works were:

  • “A Makerspace Is More Than Just a Room Full of Tools”: What Learning Looks Like for Female Students in Makerspaces (7 citations)
  • Characterizing the Effects of Multiple Analogues and Extraneous Information in Design-by-Analogy (7 citations)
  • University Makerspaces: More Than Just Toys (4 citations)

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

  • Artificial intelligence
  • Mechanical engineering
  • Social science

Julie S. Linsey mainly focuses on Engineering design process, Mathematics education, Creativity, Design education and Self-efficacy. Her research in the fields of Design by analogy overlaps with other disciplines such as Noise. Her Design education study combines topics in areas such as Grounded theory and Intelligent tutoring system.

The concepts of her Grounded theory study are interwoven with issues in Variety, Game based learning and Industrial design. Julie S. Linsey combines subjects such as Quality, User experience design, Software and Domain with her study of Intelligent tutoring system. Julie S. Linsey works mostly in the field of Self-efficacy, limiting it down to topics relating to Research question and, in certain cases, Curriculum.

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

A Study of Design Fixation, Its Mitigation and Perception in Engineering Design Faculty

J. S. Linsey;I. Tseng;K. Fu;J. Cagan.
Journal of Mechanical Design (2010)

400 Citations

An Experimental Study of Group Idea Generation Techniques: Understanding the Roles of Idea Representation and Viewing Methods

J. S. Linsey;E. F. Clauss;T. Kurtoglu;J. T. Murphy.
Journal of Mechanical Design (2011)

294 Citations

Analogies and metaphors in creative design

J. Hey;J. Linsey;A. M. Agogino;K. L. Wood.
International Journal of Engineering Education (2008)

228 Citations

Modality and representation in analogy

J. s. Linsey;K. l. Wood;A. b. Markman.
Ai Edam Artificial Intelligence for Engineering Design, Analysis and Manufacturing (2008)

204 Citations

Design by Analogy: A Study of the WordTree Method for Problem Re-Representation

J. S. Linsey;A. B. Markman;K. L. Wood.
Journal of Mechanical Design (2012)

189 Citations

The Invention Studio: A University Maker Space and Culture.

Craig R. Forest;Roxanne A. Moore;Amit S. Jariwala;Barbara Burks Fasse.
Advances in engineering education (2014)

148 Citations

INCREASING INNOVATION: PRESENTATION AND EVALUATION OF THE WORDTREE DESIGN- BY-ANALOGY METHOD

J. S. Linsey;K. L. Wood;A. B. Markman.
2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 (2008)

138 Citations

Fundamental studies in Design-by-Analogy: A focus on domain-knowledge experts and applications to transactional design problems

Diana P. Moreno;Alberto A. Hernández;Maria C. Yang;Kevin N. Otto.
Design Studies (2014)

131 Citations

Design-by-analogy and representation in innovative engineering concept generation

Julie Stahmer Linsey.
(2007)

128 Citations

“Collaborating To Success”: An Experimental Study of Group Idea Generation Techniques

J. S. Linsey;M. G. Green;J. T. Murphy;K. L. Wood.
DETC2005: ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2005)

124 Citations

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