Panayiotis C. Roussis

University of Cyprus

H-index: 16

Asia-Cyprus

Panayiotis C. Roussis, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Cyprus,

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

Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil

Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques

Slope Stability Classification under Seismic Conditions Using Several Tree-Based Intelligent Techniques

On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils

Prediction of Peak Particle Velocity Caused by Blasting through the Combinations of Boosted-CHAID and SVM Models with Various Kernels

Predicting the unconfined compressive strength of granite using only two non-destructive test indexes

University	University of Cyprus
Position	Department of Civil & Environmental Engineering
Citations(all)	1129
Citations(since 2020)	692
Cited By	635
hIndex(all)	16
hIndex(since 2020)	13
i10Index(all)	22
i10Index(since 2020)	16
Email	Access Email
University Profile Page	University of Cyprus
Google Scholar	View Google Scholar Profile

Title	Journal	Author(s)	Publication Date
Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil	Transportation Geotechnics	Duc Dam Nguyen Panayiotis C Roussis Binh Thai Pham Maria Ferentinou Anna Mamou ...	2022/9/1
Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques	Construction and Building Materials	Panagiotis G Asteris Paulo B Lourenço Panayiotis C Roussis Chryssi Elpida Adami Danial J Armaghani ...	2022/3/7
Slope Stability Classification under Seismic Conditions Using Several Tree-Based Intelligent Techniques	Applied Sciences	Panagiotis G Asteris Fariz Iskandar Mohd Rizal Mohammadreza Koopialipoor Panayiotis C Roussis Maria Ferentinou ...	2022/2/8
On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils	Materials	Duong Kien Trong Binh Thai Pham Fazal E Jalal Mudassir Iqbal Panayiotis C Roussis ...	2021/10/29
Prediction of Peak Particle Velocity Caused by Blasting through the Combinations of Boosted-CHAID and SVM Models with Various Kernels	Applied Sciences	Jie Zeng Panayiotis C Roussis Ahmed Salih Mohammed Chrysanthos Maraveas Seyed Alireza Fatemi ...	2021/1
Predicting the unconfined compressive strength of granite using only two non-destructive test indexes	Geomech. Eng	Danial J Armaghani Anna Mamou Chrysanthos Maraveas Panayiotis C Roussis Vassilis G Siorikis ...	2021/1/1