What is he best known for?
The fields of study he is best known for:
- Finance
- Machine learning
- Statistics
The scientist’s investigation covers issues in Multiple-criteria decision analysis, Decision support system, Multicriteria classification, Data mining and Financial management.
His Multiple-criteria decision analysis research includes elements of Sorting, Actuarial science, Logit and Finance.
He interconnects Multicriteria analysis and Profit in the investigation of issues within Finance.
His Decision support system research is multidisciplinary, relying on both Expert system and Management science.
His Multicriteria classification research incorporates elements of Linear programming and Preference.
His studies in Data mining integrate themes in fields like Parallel metaheuristic, Ant colony optimization algorithms, Metaheuristic, Particle swarm optimization and Sorting algorithm.
His most cited work include:
- Multicriteria classification and sorting methods: A literature review (494 citations)
- Multicriteria Decision Aid Classification Methods (251 citations)
- Multi‐criteria decision aid in financial decision making: methodologies and literature review (207 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Actuarial science, Artificial intelligence, Multiple-criteria decision analysis, Finance and Machine learning.
His Actuarial science research is multidisciplinary, incorporating perspectives in Multicriteria decision, Econometrics, Country risk and Equity.
His studies deal with areas such as Algorithm, Monte Carlo method and Data mining as well as Artificial intelligence.
His Multiple-criteria decision analysis research is multidisciplinary, incorporating elements of Linear programming, Linear discriminant analysis, Management science and Preference.
In the field of Finance, his study on Financial ratio, Financial modeling and Market liquidity overlaps with subjects such as Agribusiness.
His Machine learning study which covers Sorting that intersects with Decision problem.
He most often published in these fields:
- Actuarial science (19.91%)
- Artificial intelligence (18.48%)
- Multiple-criteria decision analysis (18.01%)
What were the highlights of his more recent work (between 2014-2020)?
- Data science (3.32%)
- Decision aiding (4.27%)
- Multiple-criteria decision analysis (18.01%)
In recent papers he was focusing on the following fields of study:
His main research concerns Data science, Decision aiding, Multiple-criteria decision analysis, Robustness and Financial modeling.
His biological study spans a wide range of topics, including Econometrics, Service innovation, Marketing, Critical success factor and Data envelopment analysis.
His study in Robustness is interdisciplinary in nature, drawing from both Data mining, Mathematical optimization and Portfolio optimization, Portfolio.
The concepts of his Data mining study are interwoven with issues in Data-driven, Ordinal regression, Theory of computation and Multicriteria decision.
His Field investigation overlaps with Finance and Management science.
His work on Credit rating is typically connected to Context as part of general Actuarial science study, connecting several disciplines of science.
Between 2014 and 2020, his most popular works were:
- Measuring the efficiency of energy-intensive industries across European countries (67 citations)
- Multiple criteria decision aiding for finance: An updated bibliographic survey (67 citations)
- Supporting healthcare management decisions via robust clustering of event logs (48 citations)
In his most recent research, the most cited papers focused on:
- Finance
- Machine learning
- Statistics
Michael Doumpos spends much of his time researching Data envelopment analysis, Financial system, Decision aiding, Multiple-criteria decision analysis and Empirical evidence.
His work deals with themes such as Market liquidity, Earnings, Finance and Financial crisis, which intersect with Financial system.
His Decision aiding study combines topics in areas such as Decision problem and Management science.
Michael Doumpos has researched Multiple-criteria decision analysis in several fields, including Benchmarking, Econometrics and Financial modeling.
The study incorporates disciplines such as Sharpe ratio and Equity in addition to Econometrics.
His Actuarial science study integrates concerns from other disciplines, such as Market capitalization and Order.
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