What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Operating system
- Microeconomics
His primary areas of study are Operations research, Scheduling, Rate-monotonic scheduling, Mathematical optimization and Schedule.
His work carried out in the field of Operations research brings together such families of science as Linear programming, Decision support system, Distributed computing and Computation.
His Scheduling study combines topics in areas such as Schedule, Project management and Resource constrained.
His studies in Project management integrate themes in fields like Integer programming, Knapsack problem and Job shop scheduling.
His Rate-monotonic scheduling research focuses on subjects like Two-level scheduling, which are linked to Fixed-priority pre-emptive scheduling and Round-robin scheduling.
His Heuristics and Heuristic study in the realm of Mathematical optimization connects with subjects such as Parametric statistics.
His most cited work include:
- PSPLIB - A project scheduling problem library (914 citations)
- Experimental investigation of heuristics for resource-constrained project scheduling: An update (619 citations)
- Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation (536 citations)
What are the main themes of his work throughout his whole career to date?
Rainer Kolisch mainly investigates Mathematical optimization, Operations research, Scheduling, Job shop scheduling and Operations management.
His work on Resource constrained, Heuristic and Heuristics as part of general Mathematical optimization study is frequently linked to Set, therefore connecting diverse disciplines of science.
His Operations research study integrates concerns from other disciplines, such as Project management, Dynamic priority scheduling and Integer programming.
His biological study deals with issues like Rate-monotonic scheduling, which deal with fields such as Two-level scheduling and Flow shop scheduling.
Job shop scheduling is a subfield of Scheduling that Rainer Kolisch tackles.
His studies link Schedule with Scheduling.
He most often published in these fields:
- Mathematical optimization (26.83%)
- Operations research (24.80%)
- Scheduling (23.58%)
What were the highlights of his more recent work (between 2014-2021)?
- Mathematical optimization (26.83%)
- Vehicle routing problem (5.28%)
- Operations research (24.80%)
In recent papers he was focusing on the following fields of study:
Rainer Kolisch spends much of his time researching Mathematical optimization, Vehicle routing problem, Operations research, Scheduling and Operations management.
His work deals with themes such as Scheduling and Job shop scheduling, which intersect with Mathematical optimization.
His Operations research research includes themes of Procurement, Variable cost, Service provider, Towing and Integer programming.
Rainer Kolisch has researched Scheduling in several fields, including Project management, Heuristics and Engineering management.
The study incorporates disciplines such as Schedule and Ambulance Diversion in addition to Operations management.
His Resource constrained research is multidisciplinary, incorporating elements of Genetic algorithm, Schedule and Variable neighborhood search.
Between 2014 and 2021, his most popular works were:
- An estimation of distribution algorithm and new computational results for the stochastic resource-constrained project scheduling problem (35 citations)
- A hybrid metaheuristic for resource-constrained project scheduling with flexible resource profiles (18 citations)
- Machine Learning Approaches for Early DRG Classification and Resource Allocation (18 citations)
In his most recent research, the most cited papers focused on:
- Mathematical optimization
- Operating system
- Microeconomics
His main research concerns Mathematical optimization, Operations management, Operations research, Integer programming and Scheduling.
His work on Metaheuristic is typically connected to Variance as part of general Mathematical optimization study, connecting several disciplines of science.
His Scheduling and Behavioral operations research study, which is part of a larger body of work in Operations management, is frequently linked to Overtime, bridging the gap between disciplines.
His research integrates issues of Project environment, Resource, Bottleneck, Capacity planning and Order in his study of Operations research.
His Scheduling research includes elements of University hospital and Ant colony optimization algorithms.
His Resource constrained research focuses on Schedule and how it relates to Schedule, Variable neighborhood search and Job shop scheduling.
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.
