D-Index & Metrics Best Publications

Mohammadreza Koopialipoor

Amirkabir University of Technology
Iran

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Engineering and Technology D-index 33 Citations 2,468 57 World Ranking 6512 National Ranking 85

Rising Stars D-index 33 Citations 2,491 58 World Ranking 887 National Ranking 42

Research.com Recognitions

Awards & Achievements

2023 - Research.com Rising Star of Science Award

Overview

What are the main themes of his work throughout his whole career to date

Mohammadreza Koopialipoor brings together Machine learning and Artificial neural network to produce work in his papers. His multidisciplinary approach integrates Artificial neural network and Machine learning in his work. In his articles, he combines various disciplines, including Statistics and Parametric statistics. As part of his studies on ADAMTS13, he frequently links adjacent subjects like Immunology. In his work, Mohammadreza Koopialipoor performs multidisciplinary research in Immunology and Genetics. His Complement (music) research extends to Genetics, which is thematically connected. His research on Complement (music) frequently links to adjacent areas such as Complementation. Mohammadreza Koopialipoor performs multidisciplinary study on Complementation and Phenotype in his works. He performs multidisciplinary study in Phenotype and Gene in his work.

Mohammadreza Koopialipoor most often published in these fields:

Machine learning (50.00%)
Statistics (50.00%)
ADAMTS13 (50.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions

Mohammadreza Koopialipoor;Danial Jahed Armaghani;Danial Jahed Armaghani;Ahmadreza Hedayat;Aminaton Marto.
soft computing (2019)

150 Citations

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

Mohammadreza Koopialipoor;Ali Fallah;Danial Jahed Armaghani;Aydin Azizi.
Engineering With Computers (2019)

137 Citations

Application of several optimization techniques for estimating TBM advance rate in granitic rocks

Danial Jahed Armaghani;Mohammadreza Koopialipoor;Aminaton Marto;Saffet Yagiz.
Journal of rock mechanics and geotechnical engineering (2019)

134 Citations

Predicting tunnel boring machine performance through a new model based on the group method of data handling

Mohammadreza Koopialipoor;Sayed Sepehr Nikouei;Aminaton Marto;Ahmad Fahimifar.
Bulletin of Engineering Geology and the Environment (2019)

118 Citations

A neuro-genetic predictive model to approximate overbreak induced by drilling and blasting operation in tunnels

Mohammadreza Koopialipoor;Danial Jahed Armaghani;Mojtaba Haghighi;Ebrahim Noroozi Ghaleini.
Bulletin of Engineering Geology and the Environment (2019)

103 Citations

Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance

Mohammadreza Koopialipoor;Ahmad Fahimifar;Ebrahim Noroozi Ghaleini;Mohammadreza Momenzadeh.
Engineering With Computers (2020)

100 Citations

A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network

Jian Zhou;Nasim Aghili;Nasim Aghili;Ebrahim Noroozi Ghaleini;Dieu Tien Bui.
Engineering With Computers (2020)

87 Citations

A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls

Ebrahim Noroozi Ghaleini;Mohammadreza Koopialipoor;Mohammadreza Momenzadeh;Mehdi Esfandi Sarafraz.
Engineering With Computers (2019)

86 Citations

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

Hongquan Guo;Jian Zhou;Mohammadreza Koopialipoor;Danial Jahed Armaghani.
Engineering With Computers (2021)

85 Citations

Application of deep neural networks in predicting the penetration rate of tunnel boring machines

Mohammadreza Koopialipoor;Hossein Tootoonchi;Danial Jahed Armaghani;Edy Tonnizam Mohamad.
Bulletin of Engineering Geology and the Environment (2019)

78 Citations

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