What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Her primary scientific interests are in Engineering design process, Artificial intelligence, Systems engineering, New product development and Product.
The concepts of her Engineering design process study are interwoven with issues in Design methods, Similarity, Variety, Novelty and Process.
Her Artificial intelligence study also includes
- Machine learning which intersects with area such as Vector space model and Function,
- Design by analogy that intertwine with fields like Management science.
She has researched Systems engineering in several fields, including Iterative design, Product, Artifact and Product engineering.
Her New product development research also works with subjects such as
- Product design specification which is related to area like Modular design,
- Manufacturing engineering that connect with fields like Reverse engineering.
Kristin L. Wood combines subjects such as Theoretical computer science, Engineering drawing and Heuristic with her study of Product.
Her most cited work include:
- A Functional Basis for Engineering Design: Reconciling and Evolving Previous Efforts (891 citations)
- Product Design: Techniques in Reverse Engineering and New Product Development (771 citations)
- Development of a Functional Basis for Design (761 citations)
What are the main themes of her work throughout her whole career to date?
Kristin L. Wood mainly focuses on Engineering design process, Systems engineering, Artificial intelligence, Design methods and Process.
The Engineering design process study which covers Creativity that intersects with Novelty.
Her Systems engineering research includes elements of New product development, Manufacturing engineering and Product design, Product, Product engineering.
Her work on Machine learning expands to the thematically related Artificial intelligence.
Her research on Design methods often connects related topics like Management science.
Her biological study spans a wide range of topics, including Field and Conceptual design.
She most often published in these fields:
- Engineering design process (18.52%)
- Systems engineering (16.30%)
- Artificial intelligence (9.88%)
What were the highlights of her more recent work (between 2017-2021)?
- Robot (7.65%)
- Creativity (8.40%)
- Process (10.62%)
In recent papers she was focusing on the following fields of study:
Kristin L. Wood mostly deals with Robot, Creativity, Process, Artificial intelligence and Control theory.
Her Creativity research integrates issues from Conceptual design, Human–computer interaction, Cognitive science, Novelty and Data science.
The various areas that Kristin L. Wood examines in her Process study include Prosumer, Smart grid, Peer-to-peer and Engineering design process.
Kristin L. Wood has included themes like New product development, Scalability and Systems engineering in her Engineering design process study.
Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Computer vision.
Her work in the fields of Control theory, such as Control theory, overlaps with other areas such as Spherical robot.
Between 2017 and 2021, her most popular works were:
- Transforming Energy Networks via Peer-to-Peer Energy Trading: The Potential of Game-Theoretic Approaches (140 citations)
- Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches (64 citations)
- Internet of Things for Green Building Management: Disruptive Innovations Through Low-Cost Sensor Technology and Artificial Intelligence (29 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Statistics
Her primary areas of study are Robot, Risk analysis, Energy management, Electricity and Smart grid.
Her Robot study combines topics in areas such as Data-driven, Distributed computing and Data mining.
Her studies in Electricity integrate themes in fields like Energy conservation and Building management system.
The study incorporates disciplines such as Electricity market, Air conditioning, Automotive engineering, Simulation and Demand response in addition to Energy conservation.
Her Smart grid study incorporates themes from Prosumer, Process and Peer-to-peer.
The Peer-to-peer study combines topics in areas such as Testbed and Renewable energy.
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