What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Management science, Flexibility, Systems analysis, Risk analysis and Engineering design process.
The concepts of his Management science study are interwoven with issues in Engineering management and Pattern recognition.
His research in Flexibility intersects with topics in Integer programming and Operations management.
His research integrates issues of New product development, Variety and Simulation modeling in his study of Risk analysis.
In his research, Richard de Neufville performs multidisciplinary study on Technical note and Transport engineering.
His studies deal with areas such as Deregulation, Business system planning, Software engineering and Strategic planning as well as Transport engineering.
His most cited work include:
- Airport Systems: Planning, Design, and Management (381 citations)
- Flexibility in Engineering Design (261 citations)
- Real Options by Spreadsheet: Parking Garage Case Example (177 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Flexibility, Transport engineering, Risk analysis, Systems engineering and Operations research.
His studies in Flexibility integrate themes in fields like Software deployment, Management science, Value, Process and Engineering design process.
As part of his studies on Management science, Richard de Neufville often connects relevant areas like Systems analysis.
His study of Taxis is a part of Transport engineering.
Richard de Neufville usually deals with Risk analysis and limits it to topics linked to Resource and Telecommunications network.
His research in Systems design and System of systems engineering are components of Systems engineering.
He most often published in these fields:
- Flexibility (27.57%)
- Transport engineering (18.38%)
- Risk analysis (15.14%)
What were the highlights of his more recent work (between 2013-2020)?
- Flexibility (27.57%)
- Context (7.57%)
- Software deployment (4.86%)
In recent papers he was focusing on the following fields of study:
Richard de Neufville mainly focuses on Flexibility, Context, Software deployment, Real estate and Risk analysis.
The Flexibility study combines topics in areas such as Decision rule, Liquefied natural gas, Systems engineering and Operations research.
His study in Software deployment is interdisciplinary in nature, drawing from both Reliability engineering, Decomposition, Time horizon and Scenario planning.
His Real estate research is multidisciplinary, incorporating elements of Policy analysis, Emerging markets, Microeconomics, System dynamics and Industrial organization.
His Risk analysis study combines topics in areas such as Value, Risk management, Environmental resource management and Scope.
His Net present value research incorporates elements of Performance indicator and Engineering design process.
Between 2013 and 2020, his most popular works were:
- Cohesive fire management within an uncertain environment: A review of risk handling and decision support systems (36 citations)
- Improving the Lifecycle Performance of Engineering Projects with Flexible Strategies: Example of On‐Shore LNG Production Design (27 citations)
- Design Catalogs: A Systematic Approach to Design and Value Flexibility in Engineering Systems (10 citations)
In his most recent research, the most cited papers focused on:
Richard de Neufville mainly investigates Context, Flexibility, Risk analysis, Real estate and Liquefied natural gas.
Context is integrated with Low-cost carrier, Transport engineering, Economic geography, Strategic planning and Multiple case in his research.
He has researched Flexibility in several fields, including Urban water supply, Industrial water and Systems engineering.
The concepts of his Systems engineering study are interwoven with issues in Economies of scale, Systematic process, Decision rule and Engineering design process.
Richard de Neufville has included themes like Technological change and Scope in his Risk analysis study.
His Real estate research includes elements of Microeconomics, Economic model, Policy analysis, Financial services and Valuation.
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.
