What is he best known for?
The fields of study he is best known for:
- Law
- Social science
- Epistemology
Finance, Epistemology, Reference class forecasting, Accountability and Social science are his primary areas of study.
His Finance research incorporates themes from Business case, Cost escalation and Information technology.
He focuses mostly in the field of Epistemology, narrowing it down to topics relating to Power and, in certain cases, Praxis and Social research.
His work carried out in the field of Reference class forecasting brings together such families of science as Transportation infrastructure, Project management and Risk management.
His Accountability study combines topics from a wide range of disciplines, such as Sample, Risk assessment and Liberian dollar.
His work in Social science tackles topics such as Social science education which are related to areas like Social network, Social change, Social epistemology, Social theory and Social order.
His most cited work include:
- Five Misunderstandings About Case-Study Research (7343 citations)
- Making Social Science Matter: Why Social Inquiry Fails and How It Can Succeed Again (3143 citations)
- Megaprojects and Risk: An Anatomy of Ambition (1816 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Cost overrun, Epistemology, Project management, Megaproject and Finance.
His Epistemology research overlaps with other disciplines such as Scientific development, Good case, Theory building and Case study research.
His Project management research is multidisciplinary, incorporating elements of Risk analysis, Optimism bias, Reference class forecasting and Misrepresentation.
The various areas that he examines in his Megaproject study include Scholarship, Politics and Public relations.
He usually deals with Finance and limits it to topics linked to Accountability and Sample.
His Power research is multidisciplinary, incorporating perspectives in Social science, Phronesis and Rationality.
He most often published in these fields:
- Cost overrun (15.06%)
- Epistemology (12.84%)
- Project management (12.10%)
What were the highlights of his more recent work (between 2015-2021)?
- Cost overrun (15.06%)
- Optimism bias (8.89%)
- Megaproject (11.85%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Cost overrun, Optimism bias, Megaproject, Project management and Government.
In the field of Optimism bias, his study on Reference class forecasting overlaps with subjects such as Planning fallacy.
The study incorporates disciplines such as Sample, Cost estimate and Risk appetite in addition to Reference class forecasting.
His Megaproject study incorporates themes from Capital, Net present value and Classics.
His work investigates the relationship between Project management and topics such as Macroeconomics that intersect with problems in Cost–benefit analysis.
His study in Government is interdisciplinary in nature, drawing from both Computer security, Production, Bespoke and Process.
Between 2015 and 2021, his most popular works were:
- Damming the rivers of the Amazon basin (267 citations)
- Does infrastructure investment lead to economic growth or economic fragility? Evidence from China (127 citations)
- Five things you should know about cost overrun (37 citations)
In his most recent research, the most cited papers focused on:
- Law
- Social science
- Epistemology
Bent Flyvbjerg mainly focuses on Cost overrun, Megaproject, Finance, Optimism bias and Financial risk.
His Megaproject research incorporates elements of Skin in the game and Classics.
Bent Flyvbjerg has researched Finance in several fields, including Government and Schedule.
The Optimism bias study combines topics in areas such as Misrepresentation and Project management.
His studies in Project management integrate themes in fields like Sample, Social psychology and Positive economics.
His studies deal with areas such as Fallacy, Statistical hypothesis testing, Ignorance and Variables as well as Test.
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