Panagiotis G. Asteris

Research.com Recognitions

• 2026 - Research.com Engineering and Technology in Greece Leader Award
• 2025 - Research.com Engineering and Technology in Greece Leader Award

Overview

Best Publications

• Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

  Panagiotis G. Asteris;Athanasia D. Skentou;Abidhan Bardhan;Pijush Samui

  558
  Citations

• Lateral Stiffness of Brick Masonry Infilled Plane Frames

  P. G. Asteris

  478
  Citations

• Mathematical Macromodeling of Infilled Frames: State of the Art

  P. G. Asteris;S. T. Antoniou;D. S. Sophianopoulos;C. Z. Chrysostomou

  443
  Citations

• Concrete compressive strength using artificial neural networks

  Panagiotis G. Asteris;Vaseilios G. Mokos

  417
  Citations

• A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

  Danial Jahed Armaghani;Panagiotis G. Asteris

  406
  Citations

• A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

  Jin Duan;Panagiotis G. Asteris;Hoang Nguyen;Xuan-Nam Bui

  323
  Citations

• Seismic vulnerability assessment of historical masonry structural systems

  P.G. Asteris;M.P. Chronopoulos;C.Z. Chrysostomou;H. Varum

  280
  Citations

• Mathematical micromodeling of infilled frames: State of the art

  P. G. Asteris;Demetrios M Cotsovos;C. Z. Chrysostomou;A. Mohebkhah

  280
  Citations

• Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

  Payam Sarir;Jun Chen;Panagiotis G. Asteris;Danial Jahed Armaghani

  267
  Citations

• Self-compacting concrete strength prediction using surrogate models

  Panagiotis G. Asteris;Konstantinos G. Kolovos

  258
  Citations

• Prediction of concrete materials compressive strength using surrogate models

  Unknown

  244
  Citations

• Prediction of the fundamental period of infilled RC frame structures using artificial neural networks

  Panagiotis G. Asteris;Athanasios K. Tsaris;Liborio Cavaleri;Constantinos C. Repapis

  239
  Citations

• Prediction of cement-based mortars compressive strength using machine learning techniques

  Panagiotis G. Asteris;Mohammadreza Koopialipoor;Danial Jahed Armaghani;Evgenios A. Kotsonis

  236
  Citations

• Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

  Jian Zhou;Panagiotis G. Asteris;Danial Jahed Armaghani;Binh Thai Pham

  230
  Citations

• Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate

  Hai Xu;Jian Zhou;Panagiotis G. Asteris;Danial Jahed Armaghani

  229
  Citations

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

  Unknown

  217
  Citations

• Mapping and holistic design of natural hydraulic lime mortars

  Maria Apostolopoulou;Panagiotis G. Asteris;Danial J. Armaghani;Maria G. Douvika

  208
  Citations

• Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

  Panagiotis G. Asteris;Mehdi Nikoo

  203
  Citations

• Introducing stacking machine learning approaches for the prediction of rock deformation

  Unknown

  193
  Citations

• Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials.

  Panagiotis G. Asteris;Panayiotis C. Roussis;Maria G. Douvika

  192
  Citations

• Prediction of self-compacting concrete strength using artificial neural networks

  P.G. Asteris;K.G. Kolovos;M.G. Douvika;K. Roinos

  177
  Citations

• Finite Element Micro-Modeling of Infilled Frames

  P.G. Asteris

  174
  Citations

• On the in-plane properties and capacities of infilled frames

  C.Z. Chrysostomou;P.G. Asteris

  164
  Citations