What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical optimization
- Artificial intelligence
Rajan Batta mostly deals with Operations research, Mathematical optimization, Simulation, Routing and Facility location problem.
In his articles, Rajan Batta combines various disciplines, including Operations research and Work.
Rajan Batta interconnects Hypercube, Queueing theory and Shortest path problem in the investigation of issues within Mathematical optimization.
He works mostly in the field of Routing, limiting it down to concerns involving Column generation and, occasionally, Job shop scheduling.
His Facility location problem research is multidisciplinary, relying on both Tabu search, Heuristic and Heuristic.
Rajan Batta has researched Heuristic in several fields, including Humanitarian Logistics and Dual.
His most cited work include:
- Review of recent developments in OR/MS research in disaster operations management (350 citations)
- On the use of genetic algorithms to solve location problems (252 citations)
- The Maximal Expected Covering Location Problem: Revisited (215 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Operations research, Mathematical optimization, Simulation, Facility location problem and Routing.
His Operations research study integrates concerns from other disciplines, such as Humanitarian Logistics, Operations management, Queueing theory and Heuristic.
His Mathematical optimization research integrates issues from Shortest path problem and Job shop scheduling.
Rajan Batta studied Simulation and Real-time computing that intersect with Reliability.
His work on 1-center problem as part of general Facility location problem study is frequently linked to Context, bridging the gap between disciplines.
His Heuristic study which covers Greedy algorithm that intersects with Node.
He most often published in these fields:
- Operations research (38.98%)
- Mathematical optimization (30.51%)
- Simulation (16.95%)
What were the highlights of his more recent work (between 2013-2021)?
- Operations research (38.98%)
- Routing (12.99%)
- Mathematical optimization (30.51%)
In recent papers he was focusing on the following fields of study:
Rajan Batta focuses on Operations research, Routing, Mathematical optimization, Transport engineering and Flow network.
Rajan Batta combines subjects such as Public transport, Greedy algorithm and Confidence interval with his study of Operations research.
His work carried out in the field of Routing brings together such families of science as Column generation and Shortest path problem.
When carried out as part of a general Mathematical optimization research project, his work on Integer programming is frequently linked to work in Peacetime, therefore connecting diverse disciplines of study.
His Flow network research is multidisciplinary, incorporating elements of Network planning and design, Intelligent transportation system, Simulation and Sensor fusion.
His Simulation study combines topics in areas such as Real time networks and Real-time computing.
Between 2013 and 2021, his most popular works were:
- Value-at-Risk model for hazardous material transportation (53 citations)
- Generalized route planning model for hazardous material transportation with VaR and equity considerations (50 citations)
- Public facility location using dispersion, population, and equity criteria (34 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical optimization
- Artificial intelligence
Operations research, Mathematical optimization, Equity, Confidence interval and Value at risk are his primary areas of study.
His research integrates issues of Decision theory and Heuristic in his study of Operations research.
The concepts of his Mathematical optimization study are interwoven with issues in Statistical dispersion and Constraint.
His studies in Confidence interval integrate themes in fields like Function, Vector autoregression and Lagrangian relaxation.
His Column generation study incorporates themes from Scheduling and Transport engineering.
His Routing research is multidisciplinary, incorporating elements of Duration, Constraint, Integer programming and Empirical research.
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