What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Mathematical analysis
Jose B. Cruz mostly deals with Mathematical optimization, Game theory, Mathematical economics, Control theory and Sequential game.
His biological study spans a wide range of topics, including Stackelberg competition and Kalman filter.
His work in Game theory addresses subjects such as Decision rule, which are connected to disciplines such as Operations research, Time horizon, Minimax and Discrete time and continuous time.
His work on Best response and Repeated game as part of general Mathematical economics study is frequently linked to Arms race and Causality, therefore connecting diverse disciplines of science.
His Control theory research is multidisciplinary, incorporating elements of Applied mathematics and Hierarchy.
His Sequential game study incorporates themes from Control variable and State variable.
His most cited work include:
- On the Stackelberg strategy in nonzero-sum games (575 citations)
- Feedback systems (432 citations)
- Additional aspects of the Stackelberg strategy in nonzero-sum games (221 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematical optimization, Control theory, Game theory, Sensitivity and Control.
His studies in Mathematical optimization integrate themes in fields like Stackelberg competition, Mathematical economics and Markov chain.
Jose B. Cruz interconnects Incentive and Function in the investigation of issues within Stackelberg competition.
Mathematical economics is closely attributed to Differential game in his work.
His Game theory research is mostly focused on the topic Sequential game.
His studies deal with areas such as Reduction, Multivariable calculus and Trajectory as well as Sensitivity.
He most often published in these fields:
- Mathematical optimization (34.55%)
- Control theory (32.73%)
- Game theory (24.09%)
What were the highlights of his more recent work (between 2006-2020)?
- Game theory (24.09%)
- Mathematical optimization (34.55%)
- Control theory (32.73%)
In recent papers he was focusing on the following fields of study:
Jose B. Cruz spends much of his time researching Game theory, Mathematical optimization, Control theory, Artificial intelligence and Computer security.
His Game theory study integrates concerns from other disciplines, such as Sensor fusion and Operations research.
His research brings together the fields of Riccati equation and Mathematical optimization.
His Adaptive control and Linear system study in the realm of Control theory interacts with subjects such as Scalar.
His biological study deals with issues like Optimal control, which deal with fields such as Special case, State variable, Automatic control and State space.
His Sequential game research includes themes of Control, Repeated game and Resource allocation.
Between 2006 and 2020, his most popular works were:
- Bi-level fuzzy optimization approach for water exchange in eco-industrial parks (121 citations)
- Fuzzy input–output model for optimizing eco-industrial supply chains under water footprint constraints (95 citations)
- A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints (68 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Mathematical analysis
Artificial intelligence, Mathematical optimization, Game theory, Real-time computing and Production are his primary areas of study.
His study in the field of Decision support system is also linked to topics like Structure.
Jose B. Cruz conducts interdisciplinary study in the fields of Mathematical optimization and Differential through his works.
The concepts of his Game theory study are interwoven with issues in Computer security, Cyber-attack, Simulation, Sensor fusion and Trajectory.
His work carried out in the field of Computer security brings together such families of science as Game theoretic, Control and Sequential game.
The Real-time computing study which covers Remotely operated underwater vehicle that intersects with Control system, Control theory, Exponential stability and Bounded function.
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.
