What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Algorithm
- Computer network
His primary areas of investigation include Mathematical optimization, Network planning and design, Operations research, Metaheuristic and Transport engineering.
His research integrates issues of Vehicle routing problem and Benchmark in his study of Mathematical optimization.
His Network planning and design research incorporates elements of Column generation, Stochastic programming, Purchasing and Subgradient method.
His research in Operations research intersects with topics in Flow network, Scheduling, Operations management and Fleet management.
He interconnects Crew scheduling, Theoretical computer science and Dynamic vehicle in the investigation of issues within Metaheuristic.
His Transport engineering research is multidisciplinary, incorporating elements of Routing and Strategic planning.
His most cited work include:
- Service network design in freight transportation (447 citations)
- Service network design in freight transportation (447 citations)
- Planning models for freight transportation (447 citations)
What are the main themes of his work throughout his whole career to date?
Teodor Gabriel Crainic focuses on Mathematical optimization, Network planning and design, Operations research, Transport engineering and Vehicle routing problem.
His Mathematical optimization research includes themes of Routing and Benchmark.
His work carried out in the field of Network planning and design brings together such families of science as Stochastic programming and Robustness.
Teodor Gabriel Crainic has researched Operations research in several fields, including Flow network, Scheduling, Service and Fleet management.
The study incorporates disciplines such as Strategic planning and Tactical planning in addition to Transport engineering.
His Tabu search study integrates concerns from other disciplines, such as Theoretical computer science and Distributed computing.
He most often published in these fields:
- Mathematical optimization (48.20%)
- Network planning and design (27.98%)
- Operations research (23.27%)
What were the highlights of his more recent work (between 2014-2021)?
- Mathematical optimization (48.20%)
- Network planning and design (27.98%)
- Operations research (23.27%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Mathematical optimization, Network planning and design, Operations research, Vehicle routing problem and Transport engineering.
His study in Mathematical optimization concentrates on Benders' decomposition, Solver, Combinatorial optimization, Integer programming and Heuristics.
Teodor Gabriel Crainic focuses mostly in the field of Combinatorial optimization, narrowing it down to topics relating to Periodic vehicle routing problem and, in certain cases, Metaheuristic.
The Network planning and design study combines topics in areas such as Stochastic programming, Level of service and Service level.
Teodor Gabriel Crainic has researched Operations research in several fields, including Travel time, Scheduling, Service and Fleet management.
His research integrates issues of Branch and price and Heuristic in his study of Vehicle routing problem.
Between 2014 and 2021, his most popular works were:
- The Benders decomposition algorithm: A literature review (225 citations)
- The Benders decomposition algorithm: A literature review (225 citations)
- Physical Internet Enabled Hyperconnected City Logistics (75 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Algorithm
- Computer network
Teodor Gabriel Crainic mostly deals with Mathematical optimization, Vehicle routing problem, Network planning and design, Transport engineering and Operations research.
Mathematical optimization is closely attributed to Routing in his work.
Teodor Gabriel Crainic has included themes like Scheduling, Branch and price and Heuristic in his Vehicle routing problem study.
His Network planning and design study integrates concerns from other disciplines, such as Service, Measure, Large set, Solver and Integer programming.
His study in Transport engineering focuses on Traffic management in particular.
His Operations research research focuses on Tabu search and how it relates to Transportation theory.
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