H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 71 Citations 22,862 205 World Ranking 271 National Ranking 133

Research.com Recognitions

Awards & Achievements

2013 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Algorithm
  • Artificial intelligence

Mathematical optimization, Integer programming, Vehicle routing problem, Operations research and Routing are his primary areas of study. His research integrates issues of Algorithm and Scheduling in his study of Mathematical optimization. Martin W. P. Savelsbergh has included themes like Optimization problem, Theoretical computer science and Integer in his Integer programming study.

The concepts of his Vehicle routing problem study are interwoven with issues in Transport engineering, Cluster analysis, Travelling salesman problem, Heuristics and Heuristic. His work on Inventory theory as part of general Operations research study is frequently connected to Destination-Sequenced Distance Vector routing, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His research on Routing also deals with topics like

  • Dynamic programming and related Set,
  • Pickup that intertwine with fields like Transshipment, User requirements document, Computer network and Dial a ride.

His most cited work include:

  • Branch-And-Price: Column Generation for Solving Huge Integer Programs (1711 citations)
  • The General Pickup and Delivery Problem (736 citations)
  • Optimization for dynamic ride-sharing: A review (527 citations)

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

Martin W. P. Savelsbergh spends much of his time researching Mathematical optimization, Integer programming, Operations research, Vehicle routing problem and Routing. His Mathematical optimization study combines topics in areas such as Algorithm, Set and Integer. The Integer programming study which covers Heuristics that intersects with Heuristic.

His Operations research research is multidisciplinary, relying on both Vendor-managed inventory, Scheduling, Service and Operations management. His Scheduling research includes themes of Simulation and Approximation algorithm. His research in Vehicle routing problem intersects with topics in Travelling salesman problem and Transport engineering.

He most often published in these fields:

  • Mathematical optimization (41.43%)
  • Integer programming (28.57%)
  • Operations research (21.79%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mathematical optimization (41.43%)
  • Operations research (21.79%)
  • Vehicle routing problem (15.36%)

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

The scientist’s investigation covers issues in Mathematical optimization, Operations research, Vehicle routing problem, Integer programming and Routing. His Mathematical optimization study incorporates themes from Mathematical economics and Stochastic game. The various areas that he examines in his Operations research study include Dynamic programming, Order, Workforce scheduling and Inventory routing problem.

His work deals with themes such as Aeronautics and Benchmark, which intersect with Vehicle routing problem. His Integer programming research includes elements of Programming language and Integer. Within one scientific family, he focuses on topics pertaining to Heuristic under Routing, and may sometimes address concerns connected to Linear programming and Process.

Between 2017 and 2021, his most popular works were:

  • Enhancing urban mobility: Integrating ride-sharing and public transit (74 citations)
  • Same-Day Delivery with Drone Resupply (25 citations)
  • Service and capacity planning in crowd-sourced delivery (20 citations)

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

  • Mathematical optimization
  • Algorithm
  • Artificial intelligence

Martin W. P. Savelsbergh spends much of his time researching Mathematical optimization, Operations research, Quality, Vehicle routing problem and Profit. His study ties his expertise on Service together with the subject of Mathematical optimization. His work carried out in the field of Operations research brings together such families of science as Computational complexity theory, Routing, Order and Dynamic decision-making.

Martin W. P. Savelsbergh has researched Quality in several fields, including Discount points, Computer network and Integer programming. The Vehicle routing problem study combines topics in areas such as Iterated local search and Aeronautics. His studies in Profit integrate themes in fields like Capacity planning, Marketing, Service level and Inventory routing problem.

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.

Top Publications

Branch-And-Price: Column Generation for Solving Huge Integer Programs

Cynthia Barnhart;Ellis L. Johnson;George L. Nemhauser;Martin W. P. Savelsbergh.
Operations Research (1998)

2652 Citations

The General Pickup and Delivery Problem

Martin W. P. Savelsbergh;Marc Sol.
Transportation Science (1995)

1251 Citations

Optimization for dynamic ride-sharing: A review

Niels A. H. Agatz;Alan L. Erera;Martin W. P. Savelsbergh;Xing Wang.
European Journal of Operational Research (2012)

909 Citations

Local search in routing problems with time windows

M. W. P. Savelsbergh.
Annals of Operations Research (1985)

799 Citations

A Branch-and-Price Algorithm for the Generalized Assignment Problem

Martin W. P. Savelsbergh.
Operations Research (1997)

590 Citations

Dynamic Ride-Sharing: a Simulation Study in Metro Atlanta

Niels A.H. Agatz;Alan L. Erera;Martin W.P. Savelsbergh;Xing Wang.
Transportation Research Part B-methodological (2011)

517 Citations

The Vehicle Routing Problem with Time Windows: Minimizing Route Duration

Martin W. P. Savelsbergh.
Informs Journal on Computing (1992)

510 Citations

Preprocessing and Probing Techniques for Mixed Integer Programming Problems

Martin W. P. Savelsbergh.
Informs Journal on Computing (1994)

497 Citations

A Computational Study of Search Strategies for Mixed Integer Programming

J. T. Linderoth;M. W. P. Savelsbergh.
Informs Journal on Computing (1999)

480 Citations

Drive: Dynamic Routing of Independent Vehicles

Martin Savelsbergh;Marc Sol.
Operations Research (1998)

445 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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