What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Operating system
- Computer network
His scientific interests lie mostly in Mathematical optimization, Operations research, Transport engineering, Vehicle routing problem and Scheduling.
His study in the field of Genetic algorithm, Heuristic and Exact algorithm is also linked to topics like Time windows and Pickup.
His Operations research research includes elements of Public transport, Paratransit, Heuristics and Heuristic.
His work in Transport engineering tackles topics such as Service which are related to areas like Transit.
His Vehicle routing problem research incorporates themes from Robust optimization and Tabu search.
His Scheduling research is multidisciplinary, incorporating perspectives in Length of hospitalization, Integer programming and Bus bunching.
His most cited work include:
- Ridesharing: the state-of-the-art and future directions (472 citations)
- A modeling framework for facility location of medical services for large-scale emergencies (340 citations)
- Solution approaches for facility location of medical supplies for large-scale emergencies (215 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Mathematical optimization, Transport engineering, Operations research, Scheduling and Vehicle routing problem.
Mathematical optimization and Algorithm are frequently intertwined in his study.
Maged Dessouky has researched Transport engineering in several fields, including Truck and Service.
His work on Operations research is being expanded to include thematically relevant topics such as Service.
In general Scheduling, his work in Job shop scheduling is often linked to Time windows linking many areas of study.
Vehicle routing problem is a primary field of his research addressed under Routing.
He most often published in these fields:
- Mathematical optimization (32.97%)
- Transport engineering (22.70%)
- Operations research (22.16%)
What were the highlights of his more recent work (between 2017-2021)?
- Truck (11.35%)
- Mathematical optimization (32.97%)
- Traffic congestion (8.65%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Truck, Mathematical optimization, Traffic congestion, Routing and Operations research.
The Truck study combines topics in areas such as TRIPS architecture, Transport engineering, Reuse, Zero emission and Scheduling.
His Scheduling research includes themes of Freight trains and Algorithm.
His Mathematical optimization study integrates concerns from other disciplines, such as Vehicle routing problem, Warehouse and Order.
Maged Dessouky studied Routing and Fuel efficiency that intersect with Time delays, Traffic conditions and Travel time.
His study focuses on the intersection of Operations research and fields such as Incentive with connections in the field of Distributed algorithm and Transportation demand management.
Between 2017 and 2021, his most popular works were:
- Stochastic passenger train timetabling using a branch and bound approach (10 citations)
- Collaborative optimization of last-train timetables with accessibility: A space-time network design based approach (8 citations)
- Integrated inventory routing and freight consolidation for perishable goods (8 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Mathematical optimization
- Computer network
Maged Dessouky spends much of his time researching Mathematical optimization, Incentive, Consolidation, Travel time and Truck.
His Mathematical optimization study frequently links to related topics such as Vehicle routing problem.
His study in Incentive is interdisciplinary in nature, drawing from both Bidding, Industrial organization, Economic efficiency and Mechanism design.
His study explores the link between Travel time and topics such as Load balancing that cross with problems in Operations research.
His Truck research is multidisciplinary, incorporating perspectives in Time delays and Transport engineering.
His Heuristic study integrates concerns from other disciplines, such as Branch and bound, Schedule, Heuristics, Rail freight transport and Scheduling.
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