What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Management
Raimo P. Hämäläinen mainly focuses on Decision analysis, Operations research, Analytic hierarchy process, Decision support system and Weighting.
His Decision analysis study combines topics from a wide range of disciplines, such as Preference elicitation, Multiple-criteria decision analysis and Decision tree, Artificial intelligence.
Set is closely connected to Machine learning in his research, which is encompassed under the umbrella topic of Artificial intelligence.
His Operations research research incorporates themes from Centrality, Perspective, Situated, Witness and Cognitive style.
His work deals with themes such as Preference, Mathematical optimization and Preference, which intersect with Analytic hierarchy process.
Many of his research projects under Decision support system are closely connected to Emergency management with Emergency management, tying the diverse disciplines of science together.
His most cited work include:
- On the measurement of preferences in the analytic hierarchy process (298 citations)
- On the convergence of multiattribute weighting methods (247 citations)
- How to benefit from decision analysis in environmental life cycle assessment (LCA) (197 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Decision analysis, Decision support system, Mathematical optimization, Operations research and Knowledge management.
The concepts of his Decision analysis study are interwoven with issues in Decision tree, Multiple-criteria decision analysis and Analytic hierarchy process.
The Decision support system study combines topics in areas such as Machine learning and Software.
His biological study deals with issues like Mathematical economics, which deal with fields such as Decision problem.
Many of his studies on Operations research apply to Influence diagram as well.
His Knowledge management study incorporates themes from Negotiation and Competence.
He most often published in these fields:
- Decision analysis (21.29%)
- Decision support system (16.35%)
- Mathematical optimization (14.45%)
What were the highlights of his more recent work (between 2009-2021)?
- Perspective (5.32%)
- Decision analysis (21.29%)
- Operations research (12.93%)
In recent papers he was focusing on the following fields of study:
Perspective, Decision analysis, Operations research, Context and Multiple-criteria decision analysis are his primary areas of study.
Raimo P. Hämäläinen interconnects Protocol analysis and Loss aversion in the investigation of issues within Decision analysis.
He conducted interdisciplinary study in his works that combined Operations research and Weighting.
His Multiple-criteria decision analysis study combines topics in areas such as Resource allocation, Management science, Environmental planning, Environmental resource management and Business decision mapping.
His research in Management science intersects with topics in Risk analysis, Group decision-making and Process.
Business decision mapping is a primary field of his research addressed under Decision support system.
Between 2009 and 2021, his most popular works were:
- On the importance of behavioral operational research: The case of understanding and communicating about dynamic systems (160 citations)
- Behavioural operational research: Returning to the roots of the OR profession (66 citations)
- Multicriteria Decision Analysis in Group Decision Processes (46 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Management
His primary scientific interests are in Decision analysis, Operations research, Perspective, Management science and Multiple-criteria decision analysis.
Raimo P. Hämäläinen combines Decision analysis and Decision maker in his research.
The various areas that Raimo P. Hämäläinen examines in his Operations research study include Centrality, Situated, Witness, Cognitive style and Almost surely.
His research in Management science intersects with topics in Risk analysis, Group decision-making, Process and Portfolio.
His study in Multiple-criteria decision analysis is interdisciplinary in nature, drawing from both Frame problem, Resource allocation, R-CAST, Business decision mapping and Knowledge management.
His Business decision mapping study is focused on Decision support system in general.
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