What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Statistics
- Artificial intelligence
Ljupco Kocarev mainly focuses on Synchronization of chaos, Chaotic, Theoretical computer science, CHAOS and Topology.
In general Synchronization of chaos, his work in Control of chaos is often linked to Synchronizing, Dynamical systems theory, Statistical physics and Partial differential equation linking many areas of study.
His Chaotic study combines topics from a wide range of disciplines, such as Lattice, Mathematical analysis, Control theory and Bifurcation.
His Theoretical computer science study incorporates themes from Cramer–Shoup cryptosystem, Deterministic encryption, Goldwasser–Micali cryptosystem, Encryption and Public-key cryptography.
His CHAOS research includes themes of Electronic circuit, Chaotic systems and Cryptography.
He interconnects Network motif, Phase, Topology and Topology identification in the investigation of issues within Topology.
His most cited work include:
- General approach for chaotic synchronization with applications to communication. (814 citations)
- Generalized synchronization, predictability, and equivalence of unidirectionally coupled dynamical systems. (796 citations)
- Chaos-based cryptography: a brief overview (641 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Complex network, Theoretical computer science, Topology, Algorithm and Control theory.
His study in Complex network is interdisciplinary in nature, drawing from both Topology, Network topology, Computer network, Random walk and Random search.
His Theoretical computer science study integrates concerns from other disciplines, such as CHAOS, Encryption and Social network.
Many of his studies involve connections with topics such as Discrete mathematics and Algorithm.
In the subject of general Control theory, his work in Nonlinear system is often linked to Synchronization of chaos, thereby combining diverse domains of study.
His work on Control of chaos as part of general Synchronization of chaos research is often related to Synchronizing, Dynamical systems theory and Chaotic, thus linking different fields of science.
He most often published in these fields:
- Complex network (20.89%)
- Theoretical computer science (18.66%)
- Topology (13.65%)
What were the highlights of his more recent work (between 2018-2021)?
- Statistical physics (8.08%)
- Econometrics (5.85%)
- Geometric Brownian motion (5.01%)
In recent papers he was focusing on the following fields of study:
Ljupco Kocarev mostly deals with Statistical physics, Econometrics, Geometric Brownian motion, Valuation of options and Stochastic process.
He has included themes like Diffusion, Brownian motion, Advection, Ergodic process and Random search in his Statistical physics study.
His Dynamical systems theory research extends to the thematically linked field of Brownian motion.
His Geometric Brownian motion research is multidisciplinary, relying on both Multiplicative process and Dynamics.
His Valuation of options study combines topics in areas such as Probability density function, Kernel, Representation, Applied mathematics and Moneyness.
His Random walk research is multidisciplinary, incorporating perspectives in Current, Topology and Complex network.
Between 2018 and 2021, his most popular works were:
- The socio-economic determinants of the coronavirus disease (COVID-19) pandemic (31 citations)
- The socio-economic determinants of the coronavirus disease (COVID-19) pandemic (31 citations)
- Building an international consortium for tracking coronavirus health status. (19 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Artificial intelligence
Ljupco Kocarev spends much of his time researching Statistical physics, Coronavirus, Pandemic, Epidemiological Factors and Diffusion process.
His Statistical physics research incorporates themes from Geometric Brownian motion, Anomalous diffusion, Diffusion, Dynamical systems theory and Random search.
His biological study spans a wide range of topics, including Stochastic process, Brownian motion and Advection.
His Epidemiological Factors research includes elements of Development economics and Public economics.
The study incorporates disciplines such as Dynamics, Stationary distribution, Position, Mean squared displacement and Transient in addition to Diffusion process.
His research integrates issues of Mathematical analysis, Stationary solution, Range, Mechanics and Point in his study of Transient.
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