What is he best known for?
The fields of study he is best known for:
- Statistics
- Microeconomics
- Mathematical analysis
The scientist’s investigation covers issues in Mathematical optimization, Mathematical economics, Oligopoly, Operations research and Kriging.
Ferenc Szidarovszky interconnects Fuzzy logic, Artificial intelligence, Optimal decision and Constant in the investigation of issues within Mathematical optimization.
His Mathematical economics and Best response and Epsilon-equilibrium investigations all form part of his Mathematical economics research activities.
The various areas that Ferenc Szidarovszky examines in his Oligopoly study include Stability, Cournot competition, Profit and Product differentiation.
His studies in Operations research integrate themes in fields like Equilibrium point, Weighted sum model, Systems management and Decision problem.
His research in Kriging intersects with topics in Estimator and Nonlinear programming.
His most cited work include:
- A multi-objective train scheduling model and solution (222 citations)
- On the Existence and Uniqueness of Pure Nash Equilibrium in Rent-Seeking Games☆ (205 citations)
- Techniques for multiobjective decision making in systems management (192 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical economics, Oligopoly, Mathematical optimization, Cournot competition and Microeconomics.
His study in Mathematical economics is interdisciplinary in nature, drawing from both Stability, Stability conditions and Nonlinear system.
His Oligopoly study integrates concerns from other disciplines, such as Production, Econometrics, Stability, Function and Product differentiation.
His Stability research is multidisciplinary, incorporating perspectives in Limit cycle and Applied mathematics.
His work carried out in the field of Mathematical optimization brings together such families of science as Computation, Operator and Fuzzy logic.
His Cournot competition research includes elements of Best response and Duopoly.
He most often published in these fields:
- Mathematical economics (26.30%)
- Oligopoly (25.31%)
- Mathematical optimization (16.87%)
What were the highlights of his more recent work (between 2011-2021)?
- Stability (10.92%)
- Mathematical economics (26.30%)
- Applied mathematics (9.43%)
In recent papers he was focusing on the following fields of study:
Ferenc Szidarovszky mainly investigates Stability, Mathematical economics, Applied mathematics, Control theory and Hopf bifurcation.
He has included themes like Cournot competition, Instability and Product differentiation in his Stability study.
His Cournot competition research integrates issues from Best response, Duopoly and Econometrics.
His Mathematical economics research is multidisciplinary, relying on both Bounded rationality and Social dilemma.
His work in Function addresses issues such as Production, which are connected to fields such as Oligopoly.
His Oligopoly study combines topics in areas such as Repeated game, Profit and Investment.
Between 2011 and 2021, his most popular works were:
- The theory and applications of iteration methods (85 citations)
- An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments (59 citations)
- Evolutionary competition in a mixed market with socially concerned firms (57 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Microeconomics
- Mathematical analysis
Ferenc Szidarovszky spends much of his time researching Control theory, Stability, Mathematical economics, Hopf bifurcation and Microeconomics.
His Stability research is multidisciplinary, incorporating elements of Cournot competition and Spectrum.
Ferenc Szidarovszky mostly deals with Nash equilibrium in his studies of Mathematical economics.
His Hopf bifurcation study incorporates themes from Function and Complex dynamics.
His study in the fields of Competition, Product differentiation, Profit and Oligopoly under the domain of Microeconomics overlaps with other disciplines such as Charge.
In his research on the topic of Duopoly, Mathematical optimization is strongly related with Continuous time system.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
