Hiroshi Yamada

Hiroshi Yamada

Hiroshima University

H-index: 14

Asia-Japan

About Hiroshi Yamada

Hiroshi Yamada, With an exceptional h-index of 14 and a recent h-index of 9 (since 2020), a distinguished researcher at Hiroshima University,

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

Spatial Smoothing Using Graph Laplacian Penalized Filter

A New Perspective on Moran’s Coefficient: Revisited

HPX filter: a hybrid of Hodrick–Prescott filter and multiple regression

Geary’s c and Spectral Graph Theory: A Complement

A unified perspective on some autocorrelation measures in different fields: A note

Quantile regression version of Hodrick–Prescott filter

Common Trend Filtering

Geary’s c and Spectral Graph Theory

Hiroshi Yamada Information

University

Hiroshima University

Position

___

Citations(all)

790

Citations(since 2020)

284

Cited By

620

hIndex(all)

14

hIndex(since 2020)

9

i10Index(all)

17

i10Index(since 2020)

8

Email

University Profile Page

Hiroshima University

Top articles of Hiroshi Yamada

Title

Journal

Author(s)

Publication Date

Spatial Smoothing Using Graph Laplacian Penalized Filter

Spatial Statistics

Hiroshi Yamada

2024/1/17

A New Perspective on Moran’s Coefficient: Revisited

Mathematics

Hiroshi Yamada

2024/1/12

HPX filter: a hybrid of Hodrick–Prescott filter and multiple regression

Studies in Nonlinear Dynamics and Econometrics

Hiroshi Yamada

2023

Geary’s c and Spectral Graph Theory: A Complement

Mathematics

Hiroshi Yamada

2023/10/10

A unified perspective on some autocorrelation measures in different fields: A note

Open Mathematics

Hiroshi Yamada

2023/4/1

Quantile regression version of Hodrick–Prescott filter

Empirical Economics

Hiroshi Yamada

2022/8/22

Common Trend Filtering

Computational Economics

Hiroshi Yamada

Ruoyi Bao

2022/3

Geary’s c and Spectral Graph Theory

Mathematics

Hiroshi Yamada

2021/10/3

TREND EXTRACTION FROM ECONOMIC TIME SERIES WITH MISSING OBSERVATIONS BY GENERALIZED HODRICK–PRESCOTT FILTERS

Econometric Theory

Hiroshi Yamada

2021/6/11

Principle of Duality in Cubic Smoothing Spline

Mathematics

Ruixue Du

Hiroshi Yamada

2020

A Pioneering Study on Discrete Cosine Transform

Communications in Statistics – Theory and Methods

Hiroshi Yamada

2020

A Smoothing Method That Looks Like the Hodrick-Prescott Filter

Econometric Theory

Hiroshi Yamada

2020

See List of Professors in Hiroshi Yamada University(Hiroshima University)

Hiroshi Yamada FAQs

What is Hiroshi Yamada's h-index at Hiroshima University?

The h-index of Hiroshi Yamada has been 9 since 2020 and 14 in total.

What are Hiroshi Yamada's top articles?

The articles with the titles of

Spatial Smoothing Using Graph Laplacian Penalized Filter

A New Perspective on Moran’s Coefficient: Revisited

HPX filter: a hybrid of Hodrick–Prescott filter and multiple regression

Geary’s c and Spectral Graph Theory: A Complement

A unified perspective on some autocorrelation measures in different fields: A note

Quantile regression version of Hodrick–Prescott filter

Common Trend Filtering

Geary’s c and Spectral Graph Theory

...

are the top articles of Hiroshi Yamada at Hiroshima University.

What is Hiroshi Yamada's total number of citations?

Hiroshi Yamada has 790 citations in total.