D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 33 Citations 4,016 139 World Ranking 4469 National Ranking 181
Mathematics D-index 34 Citations 4,339 163 World Ranking 2075 National Ranking 84
Computer Science D-index 34 Citations 4,357 174 World Ranking 8224 National Ranking 349

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Programming language
  • Artificial intelligence

His primary areas of investigation include Mathematical optimization, Constraint programming, Vehicle routing problem, Column generation and Scheduling. His Mathematical optimization study frequently links to adjacent areas such as Graph. In the field of Constraint programming, his study on Regular constraint overlaps with subjects such as Constrained optimization, Integer programming, Combinatorial optimization and Theory of computation.

His Vehicle routing problem study is associated with Routing. Louis-Martin Rousseau interconnects Simulation, Interior point method and Heuristic in the investigation of issues within Column generation. His Scheduling study incorporates themes from Scheduling and Formal language.

His most cited work include:

  • Using Constraint-Based Operators to Solve the Vehicle Routing Problem with Time Windows (137 citations)
  • A Cost-Regular Based Hybrid Column Generation Approach (104 citations)
  • An adaptive large neighborhood search for the two-echelon multiple-trip vehicle routing problem with satellite synchronization (98 citations)

What are the main themes of his work throughout his whole career to date?

Mathematical optimization, Constraint programming, Vehicle routing problem, Scheduling and Integer programming are his primary areas of study. His work on Column generation, Scheduling and Solver as part of general Mathematical optimization study is frequently linked to Constraint satisfaction, therefore connecting diverse disciplines of science. His research investigates the link between Constraint programming and topics such as Local consistency that cross with problems in Regular constraint.

His biological study spans a wide range of topics, including Synchronization, Metaheuristic and Service. His work focuses on many connections between Scheduling and other disciplines, such as Operations research, that overlap with his field of interest in Transportation theory and Transport engineering. Louis-Martin Rousseau has researched Integer programming in several fields, including Linear programming, Optimization problem and Hybrid approach.

He most often published in these fields:

  • Mathematical optimization (62.22%)
  • Constraint programming (31.67%)
  • Vehicle routing problem (22.22%)

What were the highlights of his more recent work (between 2018-2021)?

  • Mathematical optimization (62.22%)
  • Scheduling (20.56%)
  • Vehicle routing problem (22.22%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Mathematical optimization, Scheduling, Vehicle routing problem, Operations research and Solver. His work in the fields of Integer programming and Linear programming overlaps with other areas such as Shortest path problem, Constraint programming and Time windows. His study in the field of Job shop scheduling is also linked to topics like In patient.

His Operations research research incorporates themes from Integrated production, Production and Benchmark. His research on Solver also deals with topics like

  • Optimization problem, Reinforcement learning, MNIST database and Algorithm most often made with reference to Heuristics,
  • Field and Influence diagram most often made with reference to Component. His research in Column generation focuses on subjects like Speedup, which are connected to Routing.

Between 2018 and 2021, his most popular works were:

  • A set partitioning heuristic for the home health care routing and scheduling problem (27 citations)
  • A column generation approach for location-routing problems with pickup and delivery (14 citations)
  • Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning (12 citations)

In his most recent research, the most cited papers focused on:

  • Programming language
  • Mathematical optimization
  • Artificial intelligence

His primary areas of study are Mathematical optimization, Scheduling, Vehicle routing problem, Operations management and Population. A large part of his Mathematical optimization studies is devoted to Heuristics. The concepts of his Heuristics study are interwoven with issues in Column generation, Process and Branch and price.

His primary area of study in Scheduling is in the field of Job shop scheduling. The study incorporates disciplines such as Set cover problem, Lagrangian relaxation, Heuristic, Benchmark and Operations research in addition to Job shop scheduling. His Operations management research is multidisciplinary, incorporating elements of Home Care Agency, Home visits, Stochastic programming and Staffing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Using Constraint-Based Operators to Solve the Vehicle Routing Problem with Time Windows

Louis-Martin Rousseau;Michel Gendreau;Gilles Pesant.
Journal of Heuristics (2002)

249 Citations

Using Constraint-Based Operators to Solve the Vehicle Routing Problem with Time Windows

Louis-Martin Rousseau;Michel Gendreau;Gilles Pesant.
Journal of Heuristics (2002)

249 Citations

An adaptive large neighborhood search for the two-echelon multiple-trip vehicle routing problem with satellite synchronization

Philippe Grangier;Philippe Grangier;Michel Gendreau;Fabien Lehuédé;Louis-Martin Rousseau.
European Journal of Operational Research (2016)

202 Citations

An adaptive large neighborhood search for the two-echelon multiple-trip vehicle routing problem with satellite synchronization

Philippe Grangier;Philippe Grangier;Michel Gendreau;Fabien Lehuédé;Louis-Martin Rousseau.
European Journal of Operational Research (2016)

202 Citations

Scheduling and routing of automated guided vehicles : A hybrid approach

Ayoub Insa Corréa;André Langevin;Louis-Martin Rousseau.
Computers & Operations Research (2007)

164 Citations

Scheduling and routing of automated guided vehicles : A hybrid approach

Ayoub Insa Corréa;André Langevin;Louis-Martin Rousseau.
Computers & Operations Research (2007)

164 Citations

Maintenance scheduling in the electricity industry: A literature review

Aurélien Froger;Michel Gendreau;Jorge E. Mendoza;Éric Pinson.
European Journal of Operational Research (2016)

160 Citations

Maintenance scheduling in the electricity industry: A literature review

Aurélien Froger;Michel Gendreau;Jorge E. Mendoza;Éric Pinson.
European Journal of Operational Research (2016)

160 Citations

Learning Heuristics for the TSP by Policy Gradient

Michel Deudon;Pierre Cournut;Alexandre Lacoste;Yossiri Adulyasak.
integration of ai and or techniques in constraint programming (2018)

151 Citations

Learning Heuristics for the TSP by Policy Gradient

Michel Deudon;Pierre Cournut;Alexandre Lacoste;Yossiri Adulyasak.
integration of ai and or techniques in constraint programming (2018)

151 Citations

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