Behrooz Nazemi

About Behrooz Nazemi

Behrooz Nazemi, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Yazd University, specializes in the field of Urban planning, GIS, Machine learning, Real estate, Modelling.

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

Modelling the affecting factors of housing price using GMDH-type artificial neural networks in Isfahan city of Iran

Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products

Performance comparison of capacitance-based flowmeter with gamma-ray attenuation-based two-phase flowmeter for determining volume fractions in an annular flow regime’s components

Combination of X-ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas-oil–water three phase flows

X-ray tube with artificial neural network model as a promising alternative for radioisotope source in radiation based two phase flowmeters

Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two-phase flowmeter

Forecasting house prices in Iran using GMDH

Behrooz Nazemi Information

University

Position

Faculty of Art and Architecture Iran

Citations(all)

456

Citations(since 2020)

456

Cited By

22

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Behrooz Nazemi Skills & Research Interests

Urban planning

GIS

Machine learning

Real estate

Modelling

Top articles of Behrooz Nazemi

Modelling the affecting factors of housing price using GMDH-type artificial neural networks in Isfahan city of Iran

International Journal of Housing Markets and Analysis

2022/1/10

Behrooz Nazemi
Behrooz Nazemi

H-Index: 2

Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products

Nuclear Engineering and Technology

2021/4/1

Performance comparison of capacitance-based flowmeter with gamma-ray attenuation-based two-phase flowmeter for determining volume fractions in an annular flow regime’s components

The European Physical Journal Plus

2021/2

Combination of X-ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas-oil–water three phase flows

Measurement

2021

Behrooz Nazemi
Behrooz Nazemi

H-Index: 2

X-ray tube with artificial neural network model as a promising alternative for radioisotope source in radiation based two phase flowmeters

Applied Radiation and Isotopes

2020/10/1

Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two-phase flowmeter

Flow Measurement and Instrumentation

2020/10/1

Forecasting house prices in Iran using GMDH

International Journal of Housing Markets and Analysis

2020/8/12

Behrooz Nazemi
Behrooz Nazemi

H-Index: 2

See List of Professors in Behrooz Nazemi University(Yazd University)