What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Supply chain management
- Operations management
Dmitry Ivanov spends much of his time researching Supply chain risk management, Risk analysis, Supply chain engineering, Supply chain management and Resilience.
Dmitry Ivanov has researched Risk analysis in several fields, including Lead time and Robustness.
His work on Service management as part of general Supply chain management research is frequently linked to Operations management, Open research, Development economics and Political science, bridging the gap between disciplines.
The concepts of his Resilience study are interwoven with issues in Industrial organization and Survivability.
Dmitry Ivanov works mostly in the field of Supply chain resilience, limiting it down to topics relating to Disruption risk and, in certain cases, Supply disruption, as a part of the same area of interest.
Dmitry Ivanov has included themes like Mathematical optimization, Risk management and Systems engineering in his Ripple effect study.
His most cited work include:
- Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (295 citations)
- The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (284 citations)
- A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0 (270 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Supply chain management, Risk analysis, Supply chain risk management, Resilience and Mathematical optimization.
His studies deal with areas such as Robustness and Ripple effect as well as Risk analysis.
His Supply chain risk management research is multidisciplinary, incorporating elements of Supply chain resilience and Supply chain engineering.
The various areas that Dmitry Ivanov examines in his Resilience study include Environmental economics, Risk management and Environmental resource management.
His Mathematical optimization research is multidisciplinary, relying on both Dynamic priority scheduling and Fair-share scheduling.
His Optimal control course of study focuses on Operations research and Scheduling, Transportation planning and Control.
He most often published in these fields:
- Supply chain management (20.93%)
- Risk analysis (19.07%)
- Supply chain risk management (19.07%)
What were the highlights of his more recent work (between 2019-2021)?
- Risk analysis (19.07%)
- Resilience (15.81%)
- Supply chain risk management (19.07%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Risk analysis, Resilience, Supply chain risk management, Supply chain management and Industry 4.0.
His Resilience study integrates concerns from other disciplines, such as Graphical model, Survivability and Risk analysis.
His Supply chain risk management study combines topics from a wide range of disciplines, such as Supply chain resilience and Supply chain engineering.
As a member of one scientific family, he mostly works in the field of Ripple effect, focusing on Downstream and, on occasion, Control theory, Dynamic Bayesian network, Markov chain and Bayesian probability.
His Industrial organization research incorporates elements of Divestment, Risk aversion and Oligopoly.
His Scheduling study frequently links to related topics such as Operations research.
Between 2019 and 2021, his most popular works were:
- Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (295 citations)
- Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (167 citations)
- Viable supply chain model: integrating agility, resilience and sustainability perspectives-lessons from and thinking beyond the COVID-19 pandemic. (99 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operations management
- Supply chain management
Dmitry Ivanov mainly focuses on Resilience, Industry 4.0, Risk analysis, Supply chain risk management and Sustainability.
His Control research extends to the thematically linked field of Risk analysis.
Combining a variety of fields, including Sustainability, Supply chain management and Supply chain resilience, are what the author presents in his essays.
His Sustainable supply chain study in the realm of Supply chain management connects with subjects such as Environmental economics, Humanitarian Logistics, Systematic review and Open research.
His Downstream study combines topics in areas such as Dynamic Bayesian network, Ripple effect, Markov chain and Control theory.
His Ripple effect study incorporates themes from Mathematical optimization and Bayesian probability.
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