What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Oceanography
- Meteorology
His scientific interests lie mostly in Collision, Operations research, Bayesian network, Risk analysis and Meteorology.
His studies in Collision integrate themes in fields like Data point, Transport engineering and Risk assessment.
His Operations research research includes elements of Ranking and Near miss.
His research investigates the link between Bayesian network and topics such as Probabilistic logic that cross with problems in Decision support system and Joint.
His study with Risk analysis involves better knowledge in Risk analysis.
His research in Risk analysis intersects with topics in Computer security and e-Navigation.
His most cited work include:
- Probability modelling of vessel collisions (163 citations)
- Maritime transportation risk analysis: Review and analysis in light of some foundational issues (143 citations)
- A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels (142 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Collision, Marine engineering, Risk analysis, Bayesian network and Operations research.
His Collision study incorporates themes from Hazard analysis and Transport engineering.
His work on Ship safety and Ship motions as part of general Marine engineering research is frequently linked to Ground, Automatic Identification System and Ice field, bridging the gap between disciplines.
His work carried out in the field of Risk analysis brings together such families of science as Computer security and Risk assessment.
The various areas that he examines in his Bayesian network study include Probabilistic logic, Meteorology and Statistical model.
The Operations research study combines topics in areas such as Estimation and Selection.
He most often published in these fields:
- Collision (27.73%)
- Marine engineering (22.69%)
- Risk analysis (26.89%)
What were the highlights of his more recent work (between 2018-2021)?
- Domain (6.72%)
- Collision avoidance (5.04%)
- Control theory (3.36%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Domain, Collision avoidance, Control theory, Ice navigation and Route planning.
His Ice navigation study integrates concerns from other disciplines, such as Transport engineering and Selection.
In his works, Jakub Montewka conducts interdisciplinary research on Transport engineering and Maritime safety.
His study looks at the intersection of Decision support system and topics like Technology readiness level with Risk analysis.
Jakub Montewka merges Hybrid model with Operations research in his study.
His Collision risk research is included under the broader classification of Collision.
Between 2018 and 2021, his most popular works were:
- A framework to identify factors influencing navigational risk for Maritime Autonomous Surface Ships (21 citations)
- A bibliometric analysis and systematic review of shipboard Decision Support Systems for accident prevention (19 citations)
- Determination of the dynamic critical maneuvering area in an encounter between two vessels: Operation with negligible environmental disruption (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Oceanography
- Civil engineering
Jakub Montewka mostly deals with Domain, Structure, Decision support system, Collision avoidance and Risk analysis.
Domain combines with fields such as Safety control, Merchant ship, Process analysis, Engineering management and Maritime safety in his investigation.
His Structure studies intersect with other subjects such as Limelight, Scientific literature, Technology readiness level and Field.
Jakub Montewka has researched Decision support system in several fields, including Rudder and Control theory.
His Risk analysis study incorporates themes from Open sea, Phase, Shore, Control and Passage planning.
Jakub Montewka integrates Critical area with Identification in his study.
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