Naoto Nakano

About Naoto Nakano

Naoto Nakano, With an exceptional h-index of 4 and a recent h-index of 3 (since 2020), a distinguished researcher at Kyoto University, specializes in the field of Time-series Analysis, Dimensionality Reduction, Empirical Modelling, Stochastic Model Analysis, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Three-dimensional textures of Ryugu samples and their implications for the evolution of aqueous alteration in the Ryugu parent body

Prediction skill and practical predictability depending on the initial atmospheric states in S2S forecasts

Path integral approach to universal dynamics of reservoir computers

Mode-Decomposed Equation Diagnosis for Atmospheric Blocking Development

Naoto Nakano Information

University

Position

___

Citations(all)

44

Citations(since 2020)

20

Cited By

31

hIndex(all)

4

hIndex(since 2020)

3

i10Index(all)

1

i10Index(since 2020)

0

Email

University Profile Page

Google Scholar

Naoto Nakano Skills & Research Interests

Time-series Analysis

Dimensionality Reduction

Empirical Modelling

Stochastic Model Analysis

Machine Learning

Top articles of Naoto Nakano

Three-dimensional textures of Ryugu samples and their implications for the evolution of aqueous alteration in the Ryugu parent body

Geochimica et Cosmochimica Acta

2024/3/30

Prediction skill and practical predictability depending on the initial atmospheric states in S2S forecasts

Journal of the Atmospheric Sciences

2023/5/24

Mio Matsueda
Mio Matsueda

H-Index: 15

Naoto Nakano
Naoto Nakano

H-Index: 3

Path integral approach to universal dynamics of reservoir computers

Physical Review E

2023/3/14

Naoto Nakano
Naoto Nakano

H-Index: 3

Mode-Decomposed Equation Diagnosis for Atmospheric Blocking Development

EGU General Assembly Conference Abstracts

2020/5

Naoto Nakano
Naoto Nakano

H-Index: 3

See List of Professors in Naoto Nakano University(Kyoto University)