What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
His scientific interests lie mostly in Mathematical optimization, Robust optimization, Linear programming, Operations research and Multivariate adaptive regression splines.
Gerhard-Wilhelm Weber interconnects Mathematical finance and Multivariate statistics in the investigation of issues within Mathematical optimization.
His Robust optimization study incorporates themes from Robustification, Robustness, Financial market, Semidefinite programming and Integer programming.
Gerhard-Wilhelm Weber has included themes like Total cost and Solver in his Linear programming study.
As a part of the same scientific family, Gerhard-Wilhelm Weber mostly works in the field of Operations research, focusing on Supply chain and, on occasion, TOPSIS, Maximization, Reliability and Ranking.
His Multivariate adaptive regression splines study combines topics from a wide range of disciplines, such as Residual sum of squares, Terrain and Tikhonov regularization.
His most cited work include:
- CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization (90 citations)
- Semi-infinite optimization structure and stability of the feasible set (89 citations)
- Modeling gene regulatory networks with piecewise linear differential equations (73 citations)
What are the main themes of his work throughout his whole career to date?
Gerhard-Wilhelm Weber mainly focuses on Mathematical optimization, Operations research, Multivariate adaptive regression splines, Algorithm and Applied mathematics.
Mathematical optimization is closely attributed to Nonlinear system in his work.
As a part of the same scientific study, Gerhard-Wilhelm Weber usually deals with the Operations research, concentrating on Linear programming and frequently concerns with Total cost.
Gerhard-Wilhelm Weber conducted interdisciplinary study in his works that combined Multivariate adaptive regression splines and Mars Exploration Program.
His study explores the link between Algorithm and topics such as Spline that cross with problems in Multivariate statistics.
His studies in Robust optimization integrate themes in fields like Robustification and Robustness.
He most often published in these fields:
- Mathematical optimization (32.68%)
- Operations research (19.15%)
- Multivariate adaptive regression splines (13.52%)
What were the highlights of his more recent work (between 2018-2021)?
- Operations research (19.15%)
- Mathematical optimization (32.68%)
- Fuzzy logic (9.01%)
In recent papers he was focusing on the following fields of study:
Gerhard-Wilhelm Weber mainly investigates Operations research, Mathematical optimization, Fuzzy logic, Linear programming and Robust optimization.
His Operations research research is multidisciplinary, incorporating perspectives in Supply chain management, Profit, Heuristic and Sensitivity.
The study incorporates disciplines such as Task and Distribution in addition to Mathematical optimization.
His research in Fuzzy logic intersects with topics in Ranking, Theoretical computer science and Ant colony optimization algorithms.
The Linear programming study combines topics in areas such as Total cost, Solver, Supply chain and Goal programming.
Machining and Nonlinear system is closely connected to Robustness in his research, which is encompassed under the umbrella topic of Robust optimization.
Between 2018 and 2021, his most popular works were:
- A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design (44 citations)
- A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design (44 citations)
- A robust green location-allocation-inventory problem to design an urban waste management system under uncertainty. (38 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
His main research concerns Operations research, Linear programming, Fuzzy logic, Mathematical optimization and Total cost.
His study in Operations research is interdisciplinary in nature, drawing from both Supply chain management and Linear regression.
His Linear programming research is multidisciplinary, relying on both Robust optimization and Solver.
His studies deal with areas such as Key, Ant colony optimization algorithms and Goal programming as well as Fuzzy logic.
Gerhard-Wilhelm Weber works mostly in the field of Mathematical optimization, limiting it down to topics relating to Econometrics and, in certain cases, Inflation rate and Profit, as a part of the same area of interest.
His Total cost research is multidisciplinary, relying on both Supply chain, Aggregate planning and Fuzzy number.
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