What is he best known for?
The fields of study he is best known for:
- Law
- Statistics
- Artificial intelligence
Keith W. Hipel mainly investigates Conflict resolution, Operations research, Management science, Decision support system and Graph model.
Specifically, his work in Conflict resolution is concerned with the study of Conflict analysis.
His Operations research course of study focuses on Politics and Metagame analysis and State.
In his research on the topic of Management science, Unit, Decision theory and Water resources is strongly related with Game theory.
The various areas that Keith W. Hipel examines in his Decision support system study include Government, Knowledge management and Decision analysis.
His work carried out in the field of Graph model brings together such families of science as Structure and Graph theory.
His most cited work include:
- Time series modelling of water resources and environmental systems (877 citations)
- Preservation of the rescaled adjusted range: 1. A reassessment of the Hurst Phenomenon (285 citations)
- Solving Complex Conflicts (225 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Conflict resolution, Operations research, Management science, Graph model and Decision support system.
The Conflict resolution study combines topics in areas such as Stability, Mathematical economics, Preference and Negotiation.
His research in Stability tackles topics such as Mathematical optimization which are related to areas like Fuzzy logic.
As part of one scientific family, Keith W. Hipel deals mainly with the area of Operations research, narrowing it down to issues related to the Water resources, and often Water resource management.
Multiple-criteria decision analysis is closely connected to Decision analysis in his research, which is encompassed under the umbrella topic of Management science.
His Graph model research focuses on Environmental planning and how it connects with Brownfield.
He most often published in these fields:
- Conflict resolution (65.88%)
- Operations research (27.65%)
- Management science (25.43%)
What were the highlights of his more recent work (between 2017-2021)?
- Conflict resolution (65.88%)
- Graph model (31.60%)
- Stability (21.80%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Conflict resolution, Graph model, Stability, Mathematical economics and Decision support system.
Keith W. Hipel has researched Conflict resolution in several fields, including Preference, Graph, Management science, Logical conjunction and Negotiation.
He has included themes like Theoretical computer science and Solution concept in his Graph model study.
His work carried out in the field of Stability brings together such families of science as Mathematical optimization, Matrix representation, State and Preference.
His study on Mathematical optimization also encompasses disciplines like
- Fuzzy logic which intersects with area such as Reciprocal, Project portfolio management and Operations research,
- Strength of preference that intertwine with fields like River water.
The Decision support system study combines topics in areas such as Conflict analysis and Range.
Between 2017 and 2021, his most popular works were:
- Forecasting China's electricity consumption using a new grey prediction model (105 citations)
- Conflict Resolution Using the Graph Model: Strategic Interactions in Competition and Cooperation (33 citations)
- An analysis of influencing factors on municipal solid waste source-separated collection behavior in Guilin, China by Using the Theory of Planned Behavior (30 citations)
In his most recent research, the most cited papers focused on:
Keith W. Hipel focuses on Conflict resolution, Graph model, Fuzzy logic, Stability and Mathematical economics.
His biological study spans a wide range of topics, including Graph, Theoretical computer science, Preference elicitation, Preference and Mathematical optimization.
His work deals with themes such as Climate Change Agreement, Conflict analysis, Decision support system, Negotiation and Metagame analysis, which intersect with Preference elicitation.
His studies deal with areas such as Competition and Microeconomics as well as Graph model.
His research integrates issues of Project portfolio management and Operations research in his study of Fuzzy logic.
His work focuses on many connections between Stability and other disciplines, such as Preference, that overlap with his field of interest in Inverse function, Matrix, Inverse problem and State.
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.
