What is he best known for?
The fields of study he is best known for:
- Finance
- Statistics
- Artificial intelligence
Constantin Zopounidis mostly deals with Multiple-criteria decision analysis, Management science, Actuarial science, Finance and Linear discriminant analysis.
His work carried out in the field of Multiple-criteria decision analysis brings together such families of science as Data mining, Sorting, Artificial intelligence, Machine learning and Multicriteria classification.
His Management science research is multidisciplinary, incorporating perspectives in Business failure, Multicriteria analysis, Operations research, Financial modeling and Decision support system.
His research in the fields of Financial risk overlaps with other disciplines such as Support system.
His Finance study integrates concerns from other disciplines, such as Profit efficiency and Stochastic frontier analysis.
His studies in Linear discriminant analysis integrate themes in fields like Logistic regression, Rough set, Logit, Consolidation and Sample.
His most cited work include:
- Multicriteria classification and sorting methods: A literature review (494 citations)
- A survey of business failures with an emphasis on prediction methods and industrial applications (460 citations)
- Business failure prediction using rough sets (425 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Actuarial science, Finance, Multiple-criteria decision analysis, Econometrics and Sample.
His Actuarial science research includes elements of Country risk, Predictive modelling and Equity.
His Multiple-criteria decision analysis research integrates issues from Machine learning, Management science and Artificial intelligence.
In his research, Decision analysis, Operations research and Intelligent decision support system is intimately related to Decision support system, which falls under the overarching field of Management science.
Econometrics and Data envelopment analysis are frequently intertwined in his study.
His research investigates the connection between Sample and topics such as Linear discriminant analysis that intersect with problems in Logit.
He most often published in these fields:
- Actuarial science (16.89%)
- Finance (16.45%)
- Multiple-criteria decision analysis (15.35%)
What were the highlights of his more recent work (between 2017-2021)?
- Econometrics (14.69%)
- Multiple-criteria decision analysis (15.35%)
- Credit risk (4.39%)
In recent papers he was focusing on the following fields of study:
Constantin Zopounidis mainly focuses on Econometrics, Multiple-criteria decision analysis, Credit risk, System dynamics and Accounting.
Constantin Zopounidis interconnects Empirical research and Linear regression in the investigation of issues within Econometrics.
In Multiple-criteria decision analysis, Constantin Zopounidis works on issues like Sample, which are connected to Binary classification, Ensemble forecasting and Bank failure.
Credit risk is a subfield of Actuarial science that Constantin Zopounidis explores.
Constantin Zopounidis combines topics linked to Loan with his work on Actuarial science.
His studies deal with areas such as Financial intermediary, Strategic planning and Fuzzy cognitive map as well as System dynamics.
Between 2017 and 2021, his most popular works were:
- Bitcoin price forecasting with neuro-fuzzy techniques (43 citations)
- Bitcoin price forecasting with neuro-fuzzy techniques (43 citations)
- Forecasting the success of a new tourism service by a neuro-fuzzy technique (18 citations)
In his most recent research, the most cited papers focused on:
- Finance
- Statistics
- Artificial intelligence
His main research concerns Econometrics, Financial modeling, Multiple-criteria decision analysis, Fuzzy cognitive mapping and Risk management.
Adaptive neuro fuzzy inference system is closely connected to Neuro-fuzzy in his research, which is encompassed under the umbrella topic of Econometrics.
His Financial modeling research is multidisciplinary, relying on both Multi-objective optimization, Mathematical optimization, Performance indicator and Portfolio investment.
The Multiple-criteria decision analysis study combines topics in areas such as Ensemble forecasting, Sample, Environmental economics and Bank failure.
His work is dedicated to discovering how Risk management, Theory of computation are connected with Management science and other disciplines.
His Management science research focuses on Asset management and how it relates to Investment strategy.
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