What is he best known for?
The fields of study he is best known for:
- Statistics
- Marketing
- Algebra
The scientist’s investigation covers issues in Data envelopment analysis, Operations research, Selection, Supply chain management and Ordinal data.
His Data envelopment analysis research is multidisciplinary, incorporating perspectives in Supply chain, Production, Measure and Operations management.
His Operations research research includes themes of Purchasing, Reverse logistics and Decision model.
The Selection study combines topics in areas such as Model selection and Process.
Reza Farzipoor Saen has researched Supply chain management in several fields, including Benchmarking, Envelopment and Benchmark.
His work focuses on many connections between Ordinal data and other disciplines, such as Flexibility, that overlap with his field of interest in Technology management.
His most cited work include:
- A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context (200 citations)
- A novel network data envelopment analysis model for evaluating green supply chain management (170 citations)
- Measuring corporate sustainability management: A data envelopment analysis approach (165 citations)
What are the main themes of his work throughout his whole career to date?
Data envelopment analysis, Operations research, Selection, Ranking and Supply chain are his primary areas of study.
His study in Data envelopment analysis is interdisciplinary in nature, drawing from both Supply chain management, Econometrics, Operations management and Measure.
His work deals with themes such as Reverse logistics, Benchmarking and Process, which intersect with Operations research.
His Selection research is multidisciplinary, incorporating elements of Fuzzy logic, Purchasing and Ordinal data.
His studies in Ranking integrate themes in fields like Data mining and Super efficiency.
His work in the fields of Supply chain, such as Supplier relationship management and Sustainable supply chain, overlaps with other areas such as Network data.
He most often published in these fields:
- Data envelopment analysis (78.79%)
- Operations research (51.52%)
- Selection (28.28%)
What were the highlights of his more recent work (between 2017-2021)?
- Data envelopment analysis (78.79%)
- Supply chain (21.21%)
- Operations research (51.52%)
In recent papers he was focusing on the following fields of study:
Reza Farzipoor Saen mainly investigates Data envelopment analysis, Supply chain, Operations research, Environmental economics and Mathematical optimization.
He undertakes multidisciplinary studies into Data envelopment analysis and Context in his work.
His Supply chain course of study focuses on Industrial organization and Investment opportunities, Investment, Performance improvement and Supplier relationship management.
His Operations research research includes elements of Ranking, Structure, Linear discriminant analysis and Selection.
His work on Envelopment and Multiple objective as part of general Mathematical optimization research is frequently linked to Network data, Stage and Resource allocation, bridging the gap between disciplines.
Risk analysis is closely connected to Performance measurement in his research, which is encompassed under the umbrella topic of Measure.
Between 2017 and 2021, his most popular works were:
- Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach (49 citations)
- Assessing Sustainability of Supply Chains: An Inverse Network Dynamic DEA Model (17 citations)
- A new dynamic range directional measure for two-stage data envelopment analysis models with negative data (14 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Marketing
- Artificial intelligence
His scientific interests lie mostly in Data envelopment analysis, Context, Environmental economics, Supply chain and Operations research.
His Data envelopment analysis research is multidisciplinary, relying on both Supply chain management, Selection, Data mining and Performance measurement.
While the research belongs to areas of Environmental economics, he spends his time largely on the problem of Ranking, intersecting his research to questions surrounding Big data and Goal programming.
His biological study spans a wide range of topics, including Mathematical optimization, Performance improvement, Process and Industrial organization.
His study in the fields of Envelopment and Local optimum under the domain of Mathematical optimization overlaps with other disciplines such as Bounded function and Network data.
He has included themes like Linear discriminant analysis and Sustainable supply chain in his Operations research study.
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