What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Project management
- Sociology
The scientist’s investigation covers issues in Construction site safety, Risk management, Risk analysis, Knowledge management and Operations management.
His Construction site safety research includes themes of Variety and Artificial intelligence.
His Risk management study frequently links to adjacent areas such as Project management.
His research integrates issues of Quality, Data science, Process and Operations research in his study of Project management.
Matthew R. Hallowell interconnects Technological change, Marketing and Innovation process in the investigation of issues within Knowledge management.
In his study, Hazard analysis is inextricably linked to System safety, which falls within the broad field of Operations management.
His most cited work include:
- Qualitative Research: Application of the Delphi Method to CEM Research (340 citations)
- Qualitative Research: Application of the Delphi Method to CEM Research (340 citations)
- Construction Safety Risk Mitigation (143 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Construction site safety, Risk analysis, Risk management, Operations management and Transport engineering.
His Construction site safety research includes elements of Construction engineering, System safety, Machine learning and Artificial intelligence.
His research in System safety intersects with topics in Hazard analysis and Safety assurance.
His study involves Risk analysis and Enterprise risk management, a branch of Risk management.
Operations management is integrated with Injury prevention and Crew in his study.
His Transport engineering research incorporates themes from Project management, Delphi method and Building design, Architectural engineering.
He most often published in these fields:
- Construction site safety (36.22%)
- Risk analysis (30.71%)
- Risk management (23.62%)
What were the highlights of his more recent work (between 2019-2021)?
- Construction site safety (36.22%)
- Risk analysis (30.71%)
- Hazard (10.24%)
In recent papers he was focusing on the following fields of study:
Construction site safety, Risk analysis, Hazard, Applied psychology and Safety climate are his primary areas of study.
As part of his studies on Construction site safety, he often connects relevant subjects like Linear svm.
Risk analysis is intertwined with Safety risk, Risk taking and Work related in his study.
His Hazard research spans across into areas like Environmental health, History and Actuarial science.
Many of his Applied psychology research pursuits overlap with Learning organization, Association, Augmented virtuality, Human decision and Hazard analysis.
He integrates several fields in his works, including Safety climate, Economic indicator and Energy assessment.
Between 2019 and 2021, his most popular works were:
- Methods of safety prediction: analysis and integration of risk assessment, leading indicators, precursor analysis, and safety climate (8 citations)
- Automatically Learning Construction Injury Precursors from Text (5 citations)
- Using augmented virtuality to examine how emotions influence construction-hazard identification, risk assessment, and safety decisions (5 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Sociology
- Project management
His primary areas of study are Risk assessment, Construction site safety, Machine learning, Artificial intelligence and Support vector machine.
His Risk assessment research integrates issues from Hazard analysis and Risk analysis.
As part of his studies on Construction site safety, Matthew R. Hallowell frequently links adjacent subjects like Energy assessment.
His work carried out in the field of Machine learning brings together such families of science as Exploit and Outcome.
His Deep learning, Representation and Linear svm study in the realm of Artificial intelligence connects with subjects such as tf–idf.
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