What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Finance
His scientific interests lie mostly in Data envelopment analysis, Productivity, Data mining, Operations research and Set.
His study in Data envelopment analysis is interdisciplinary in nature, drawing from both Econometrics, Fuzzy logic, Index, Performance measurement and Measure.
His work focuses on many connections between Productivity and other disciplines, such as Operations management, that overlap with his field of interest in Panel data, Health care rationing and Job satisfaction.
Ali Emrouznejad focuses mostly in the field of Data mining, narrowing it down to topics relating to Machine learning and, in certain cases, Fuzzy set.
His Operations research research focuses on Listing and how it relates to Summary statistics.
The concepts of his Mathematical optimization study are interwoven with issues in Malmquist index, Preference, Ranking and Search engine.
His most cited work include:
- Evaluation of research in efficiency and productivity:a survey and analysis of the first 30 years of scholarly literature in DEA (783 citations)
- A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016 (365 citations)
- A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making (257 citations)
What are the main themes of his work throughout his whole career to date?
Ali Emrouznejad spends much of his time researching Data envelopment analysis, Mathematical optimization, Operations research, Fuzzy logic and Productivity.
He performs multidisciplinary study in the fields of Data envelopment analysis and Set via his papers.
In general Mathematical optimization study, his work on Linear programming and Minimax often relates to the realm of Input/output and Operator, thereby connecting several areas of interest.
His Productivity research integrates issues from Index, Private sector, Efficient energy use and Health care.
His work is dedicated to discovering how Econometrics, Inefficiency are connected with Parametric statistics and Stochastic frontier analysis and other disciplines.
His study in Data mining is interdisciplinary in nature, drawing from both Ranking and Taxonomy.
He most often published in these fields:
- Data envelopment analysis (63.76%)
- Mathematical optimization (24.45%)
- Operations research (18.34%)
What were the highlights of his more recent work (between 2018-2021)?
- Data envelopment analysis (63.76%)
- Mathematical optimization (24.45%)
- Operations research (18.34%)
In recent papers he was focusing on the following fields of study:
Ali Emrouznejad mainly focuses on Data envelopment analysis, Mathematical optimization, Operations research, Process and Environmental economics.
His Data envelopment analysis study integrates concerns from other disciplines, such as Game theory and Fuzzy logic.
His studies in Mathematical optimization integrate themes in fields like Supply chain network and Measure.
When carried out as part of a general Operations research research project, his work on Best worst method is frequently linked to work in Development, Context, Performance index and Field, therefore connecting diverse disciplines of study.
Ali Emrouznejad interconnects Productivity, Production, Inefficiency and Operational efficiency in the investigation of issues within Process.
His Environmental economics research is multidisciplinary, incorporating perspectives in Energy consumption, Residential energy and Smart grid.
Between 2018 and 2021, his most popular works were:
- Fuzzy Data Envelopment Analysis:An Adjustable Approach (24 citations)
- The origins, development and future directions of data envelopment analysis approach in transportation systems (24 citations)
- A dynamic network DEA model for accounting and financial indicators: A case of efficiency in MENA banking (23 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Finance
His main research concerns Data envelopment analysis, Mathematical optimization, Environmental economics, Government and Manufacturing.
His biological study spans a wide range of topics, including Process and Operations research.
The Process study combines topics in areas such as Production, Inefficiency, Econometrics, Intermediation and Operational efficiency.
His studies deal with areas such as Fuzzy data envelopment analysis and Thermal power station as well as Mathematical optimization.
His Environmental economics study incorporates themes from Energy consumption, Best worst method and Workforce.
His Manufacturing research incorporates themes from Reduction and Industrial organization.
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