H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 86 Citations 26,124 348 World Ranking 82 National Ranking 39

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

Andrew Kusiak focuses on Data mining, Wind power, Turbine, Wind speed and Systems engineering. His Data mining research includes themes of Support vector machine, Decision rule and Artificial intelligence. Andrew Kusiak has included themes like Control engineering, Range, SCADA, Condition monitoring and Evolution strategy in his Turbine study.

His research investigates the connection between Evolution strategy and topics such as Algorithm that intersect with problems in Group technology, Mathematical optimization, Bottleneck and Similitude. The various areas that Andrew Kusiak examines in his Wind speed study include Marine engineering, Simulation, Control theory and Time series. His Systems engineering research integrates issues from Product engineering, New product development and Engineering design process.

His most cited work include:

  • The facility layout problem (505 citations)
  • The generalized group technology concept (501 citations)
  • Intelligent Manufacturing Systems (448 citations)

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

Andrew Kusiak mainly focuses on Data mining, Mathematical optimization, Systems engineering, Wind power and Manufacturing engineering. The study incorporates disciplines such as Predictive modelling and Support vector machine, Selection, Artificial intelligence in addition to Data mining. His Mathematical optimization research is multidisciplinary, relying on both Energy consumption, Algorithm and Cluster analysis.

Andrew Kusiak combines subjects such as Concurrent engineering, New product development and Engineering design process with his study of Systems engineering. He works mostly in the field of Wind power, limiting it down to topics relating to Turbine and, in certain cases, Control engineering and Vibration, as a part of the same area of interest. His Manufacturing engineering research focuses on Scheduling and how it connects with Industrial engineering, Job shop scheduling and Flow shop scheduling.

He most often published in these fields:

  • Data mining (16.62%)
  • Mathematical optimization (13.98%)
  • Systems engineering (12.14%)

What were the highlights of his more recent work (between 2009-2021)?

  • Wind power (11.87%)
  • Turbine (9.23%)
  • Artificial neural network (6.86%)

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

His scientific interests lie mostly in Wind power, Turbine, Artificial neural network, Wind speed and Energy consumption. He interconnects Electricity generation, Mathematical optimization, Data mining and Evolution strategy in the investigation of issues within Wind power. His research integrates issues of Support vector machine, Cluster analysis and Artificial intelligence in his study of Data mining.

His Turbine study combines topics in areas such as SCADA, Control theory, Vibration, Control engineering and Predictive modelling. His studies examine the connections between Control engineering and genetics, as well as such issues in Condition monitoring, with regards to Reliability engineering. The concepts of his Artificial neural network study are interwoven with issues in Data-driven, Simulation, Soil science and Sewage treatment.

Between 2009 and 2021, his most popular works were:

  • Data-driven smart manufacturing (378 citations)
  • Design of wind farm layout for maximum wind energy capture (343 citations)
  • The prediction and diagnosis of wind turbine faults (305 citations)

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

  • Artificial intelligence
  • Statistics
  • Machine learning

His main research concerns Turbine, Wind power, Control engineering, Wind speed and Energy consumption. His Turbine research is multidisciplinary, incorporating elements of SCADA, Control theory, Condition monitoring, Vibration and Evolution strategy. His biological study spans a wide range of topics, including Maintenance engineering, Data mining and Blade pitch.

His studies in Data mining integrate themes in fields like Predictive modelling and Support vector machine. His Wind speed study integrates concerns from other disciplines, such as Marine engineering and Time series. His Energy consumption research is multidisciplinary, incorporating perspectives in Artificial neural network, Algorithm, Particle swarm optimization and HVAC, Air conditioning.

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.

Top Publications

The facility layout problem

Andrew Kusiak;Sunderesh S. Heragu.
European Journal of Operational Research (1987)

815 Citations

The generalized group technology concept

Andrew Kusiak.
International Journal of Production Research (1987)

772 Citations

Intelligent Manufacturing Systems

Andrew Kusiak;David Dornfeld.
(1990)

703 Citations

Data Mining in Manufacturing: A Review

J. A. Harding;M. Shahbaz;Srinivas;A. Kusiak.
Journal of Manufacturing Science and Engineering-transactions of The Asme (2006)

572 Citations

Efficient solving of the group technology problem

Andrew Kusiak;Wing S. Chow.
Journal of Manufacturing Systems (1987)

563 Citations

Modularity in design of products and systems

Chun-Che Huang;A. Kusiak.
systems man and cybernetics (1998)

556 Citations

Data-driven smart manufacturing

Fei Tao;Qinglin Qi;Ang Liu;Andrew Kusiak.
Journal of Manufacturing Systems (2018)

528 Citations

Design of wind farm layout for maximum wind energy capture

Andrew Kusiak;Zhe Song.
Renewable Energy (2010)

491 Citations

Machine Layout Problem in Flexible Manufacturing Systems

Sunderesh S. Heragu;Andrew Kusiak.
Operations Research (1988)

440 Citations

The prediction and diagnosis of wind turbine faults

Andrew Kusiak;Wenyan Li.
Renewable Energy (2011)

436 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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