What is he best known for?
The fields of study he is best known for:
- Management
- Artificial intelligence
- Risk management
Genserik Reniers focuses on Risk analysis, Domino, Risk management, Domino effect and Process.
His work on Risk analysis as part of general Risk analysis research is frequently linked to Scientific literature, bridging the gap between disciplines.
His Risk analysis research includes themes of Popularity and Management science.
Deep learning, Model selection, Artificial neural network and Unexpected events is closely connected to Risk assessment in his research, which is encompassed under the umbrella topic of Risk management.
His research in Process focuses on subjects like Artificial intelligence, which are connected to Failure mode, effects, and criticality analysis and Fault tree analysis.
His work on Security management and Vulnerability as part of his general Computer security study is frequently connected to Prioritization, thereby bridging the divide between different branches of science.
His most cited work include:
- A review of optimisation models for pedestrian evacuation and design problems (119 citations)
- Bibliometric analysis of safety culture research (88 citations)
- Bibliometric analysis of safety culture research (88 citations)
What are the main themes of his work throughout his whole career to date?
Genserik Reniers mainly investigates Risk analysis, Process, Domino, Domino effect and Risk assessment.
Genserik Reniers usually deals with Risk analysis and limits it to topics linked to Process safety and Engineering ethics.
His Process research integrates issues from Inherent safety and Bayesian network.
Genserik Reniers integrates several fields in his works, including Domino, Reliability engineering and Emergency response.
Genserik Reniers brings together Reliability engineering and Flammable liquid to produce work in his papers.
Computer security covers he research in Security management.
He most often published in these fields:
- Risk analysis (61.55%)
- Process (38.90%)
- Domino (35.77%)
What were the highlights of his more recent work (between 2019-2021)?
- Risk analysis (61.55%)
- Process (38.90%)
- Process safety (15.95%)
In recent papers he was focusing on the following fields of study:
Genserik Reniers mostly deals with Risk analysis, Process, Process safety, Domino and Domino effect.
His work on Risk analysis as part of general Risk analysis research is frequently linked to Process industry, thereby connecting diverse disciplines of science.
As part of the same scientific family, he usually focuses on Risk analysis, concentrating on Risk management and intersecting with Environmental resource management.
His study on Process also encompasses disciplines like
- Inherent safety which is related to area like Engineering ethics,
- Optimization algorithm which connect with Security management.
His research investigates the connection with Process safety and areas like Work in process which intersect with concerns in Resilience.
His Domino research spans across into fields like Reliability engineering, Flexibility and Petri net.
Between 2019 and 2021, his most popular works were:
- Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression (29 citations)
- Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression (29 citations)
- Vulnerability assessment of atmospheric storage tanks to floods based on logistic regression (29 citations)
In his most recent research, the most cited papers focused on:
- Management
- Artificial intelligence
- Social science
His primary scientific interests are in Risk analysis, Process, Domino, Vulnerability assessment and Vulnerability.
Genserik Reniers is interested in Risk analysis, which is a branch of Risk analysis.
His studies in Risk analysis integrate themes in fields like BioHazard, Social disruption and Action.
His study in Process is interdisciplinary in nature, drawing from both Knowledge management and Risk assessment.
His Vulnerability assessment research is multidisciplinary, relying on both Security management, Optimization algorithm and Logistic regression.
His Vulnerability research includes elements of Supply chain, Sustainable transport, Pipeline transport and Resilience.
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