What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Quantum mechanics
His primary areas of investigation include Complex network, Topology, Statistical physics, Microeconomics and Scale-free network.
Naoki Masuda combines subjects such as Synaptic plasticity, Spike-timing-dependent plasticity, Content-addressable memory and Neuron with his study of Complex network.
His Topology research integrates issues from Evolutionary dynamics, Entire population, Fixation and Artificial intelligence.
His Evolutionary dynamics study incorporates themes from Welfare economics and Social dilemma.
His Statistical physics research is multidisciplinary, relying on both Phase transition, Network model and Computer simulation.
His work in the fields of Microeconomics, such as Game theory, intersects with other areas such as Political Elections.
His most cited work include:
- Random walks and diffusion on networks (263 citations)
- Cryptosystems with discretized chaotic maps (231 citations)
- Participation costs dismiss the advantage of heterogeneous networks in evolution of cooperation. (160 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Statistical physics, Artificial intelligence, Complex network, Social dilemma and Node.
His work deals with themes such as Event and Nonlinear system, which intersect with Statistical physics.
His research on Artificial intelligence focuses in particular on Artificial neural network.
His Complex network study combines topics from a wide range of disciplines, such as Degree and Random graph.
The concepts of his Social dilemma study are interwoven with issues in Reciprocity, Game theory and Reinforcement learning.
His Node research is multidisciplinary, incorporating elements of Theoretical computer science and Community structure.
He most often published in these fields:
- Statistical physics (17.10%)
- Artificial intelligence (12.95%)
- Complex network (16.06%)
What were the highlights of his more recent work (between 2019-2021)?
- Complex network (16.06%)
- Node (11.66%)
- Random graph (9.07%)
In recent papers he was focusing on the following fields of study:
Naoki Masuda focuses on Complex network, Node, Random graph, Statistical physics and Degree.
Naoki Masuda performs multidisciplinary study on Complex network and Liner shipping in his works.
His studies deal with areas such as Language model, Embedding and Algorithm as well as Node.
His studies examine the connections between Algorithm and genetics, as well as such issues in Markov chain, with regards to Random walk.
His research in Statistical physics tackles topics such as Event which are related to areas like Node, Markov process, Enhanced Data Rates for GSM Evolution and Benchmark.
In his work, Theoretical computer science is strongly intertwined with Core, which is a subfield of Degree.
Between 2019 and 2021, his most popular works were:
- Closer to critical resting-state neural dynamics in individuals with higher fluid intelligence (12 citations)
- Closer to critical resting-state neural dynamics in individuals with higher fluid intelligence (12 citations)
- Energy landscape of resting magnetoencephalography reveals fronto-parietal network impairments in epilepsy. (7 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Quantum mechanics
Naoki Masuda spends much of his time researching Complex network, Network structure, Mathematical economics, Degree and Decomposition.
His Complex network study frequently links to related topics such as Discrete time and continuous time.
Naoki Masuda integrates several fields in his works, including Network structure, Autocorrelation, Competition, Air transport, Natural disaster and Economic geography.
His study in the field of Evolutionary game theory also crosses realms of Critical mass, Fraction and Tipping point.
His Degree study combines topics in areas such as Theoretical computer science, Core, Random graph, Node and Community structure.
He conducted interdisciplinary study in his works that combined Decomposition and Structure.
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