What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Project management
His primary areas of investigation include Construction management, Industrial engineering, Sample, Beta distribution and Simulation.
He combines subjects such as Decision support system and Systems engineering with his study of Construction management.
His Industrial engineering study combines topics from a wide range of disciplines, such as Process modeling, Process and Queueing theory.
His research in Process intersects with topics in Phase, Accident risk, Model predictive control and Risk analysis.
His studies deal with areas such as Stochastic process and Algorithm as well as Sample.
His work on Discrete event simulation as part of general Simulation research is often related to Flow network, thus linking different fields of science.
His most cited work include:
- Planning and analysis of construction operations (359 citations)
- CYCLONE — Method for Modeling Job Site Processes (236 citations)
- Design of construction and process operations (124 citations)
What are the main themes of his work throughout his whole career to date?
Daniel W. Halpin focuses on Construction management, Process, Construction engineering, Productivity and Operations research.
His research investigates the connection with Construction management and areas like Project management which intersect with concerns in Critical path method.
His study in Process is interdisciplinary in nature, drawing from both Data collection, Control, Manufacturing engineering and Industrial engineering.
The Industrial engineering study combines topics in areas such as Queueing theory, Simulation and Chart.
The study incorporates disciplines such as Mathematical model, Stochastic modelling and Beta distribution in addition to Simulation.
His research integrates issues of Bridge and Modeling and simulation in his study of Civil engineering.
He most often published in these fields:
- Construction management (34.62%)
- Process (29.81%)
- Construction engineering (19.23%)
What were the highlights of his more recent work (between 2001-2011)?
- Productivity (23.08%)
- Process (29.81%)
- Construction engineering (19.23%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Productivity, Process, Construction engineering, Operations research and Pile.
His Process research integrates issues from Industrial engineering, Data collection and Civil engineering.
His Construction engineering study incorporates themes from Engineering education, Decision support system, Construction management and Global Positioning System.
Daniel W. Halpin merges Construction management with Enterprise architecture management in his study.
The concepts of his Operations research study are interwoven with issues in Variation and Liberian dollar.
His work carried out in the field of Robustness brings together such families of science as Artificial neural network, Bridge and Chart.
Between 2001 and 2011, his most popular works were:
- Research in Modeling and Simulation for Improving Construction Engineering Operations (94 citations)
- Predictive Tool for Estimating Accident Risk (89 citations)
- Enterprise Resource Planning for Construction Business Management (65 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Project management
Daniel W. Halpin focuses on Process, Productivity, Construction management, Pile and Operations research.
He interconnects Phase, Risk analysis, Accident risk and Model predictive control in the investigation of issues within Process.
His Productivity research incorporates Industrial engineering, Bridge, Cost estimate, Schedule and Robustness.
His work in Construction management addresses subjects such as Systems engineering, which are connected to disciplines such as Engineering education and Construction engineering.
His Pile research is multidisciplinary, incorporating perspectives in Data collection and Civil engineering.
His studies in Operations research integrate themes in fields like Project management and Fuzzy logic.
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