Ayhan Irfanoglu

Purdue University

H-index: 17

North America-United States

About Ayhan Irfanoglu

Ayhan Irfanoglu, With an exceptional h-index of 17 and a recent h-index of 10 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Structural engineering, earthquake engineering, structural dynamics, analysis and simulation, engineering seismology.

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

Using Nonlinear-Elastic Stiffness at Small Displacement to Identify Damage in a Full-Scale Reinforced Concrete Building

Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems

Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four …

Validation of Nonlinear Soil-Structure Interaction in MASTODON

Drift-Driven Design of Buildings: Mete Sozen’s Works on Earthquake Engineering

Sensitivity study on parameters influencing soil-structure interaction of embedded structure

On component isolation of conceptual advanced reactors

Effect of Soil Properties and Input Motion on Site Amplification Using Validated Nonlinear Soil Model

Ayhan Irfanoglu Information

University	Purdue University
Position	Prof. of Civil Eng.
Citations(all)	928
Citations(since 2020)	326
Cited By	717
hIndex(all)	17
hIndex(since 2020)	10
i10Index(all)	27
i10Index(since 2020)	11
Email	Access Email
University Profile Page	Purdue University
Google Scholar	View Google Scholar Profile

Ayhan Irfanoglu Skills & Research Interests

Structural engineering

earthquake engineering

structural dynamics

analysis and simulation

engineering seismology

Top articles of Ayhan Irfanoglu

Title	Journal	Author(s)	Publication Date
Using Nonlinear-Elastic Stiffness at Small Displacement to Identify Damage in a Full-Scale Reinforced Concrete Building	Journal of Performance of Constructed Facilities	Fabián Consuegra Damon R Fick Ayhan Irfanoglu	2024/6/1
Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems		Zoran Babović Branislav Bajat Vladan Đokić Filip Đorđević Dražen Drašković ...	2023/5/22
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four …	Journal of Big Data	Zoran Babović Branislav Bajat Dusan Barac Vesna Bengin Vladan Đokić ...	2023/5/31
Validation of Nonlinear Soil-Structure Interaction in MASTODON		Samyog Shrestha Kyungtae Kim Efe Kurt Arun Prakash Ayhan Irfanoglu	2022/7
Drift-Driven Design of Buildings: Mete Sozen’s Works on Earthquake Engineering		Santiago Pujol Ayhan Irfanoglu Aishwarya Puranam	2022/5/13
Sensitivity study on parameters influencing soil-structure interaction of embedded structure		Samyog Shrestha Osama Abdelaleim Efe Kurt Arun Prakash Ayhan Irfanoglu	2022/7/1
On component isolation of conceptual advanced reactors	Nuclear Engineering and Technology	Efe G Kurt Ayhan Irfanoglu Samyog Shrestha Arun Prakash	2022/8/1
Effect of Soil Properties and Input Motion on Site Amplification Using Validated Nonlinear Soil Model	Nuclear Technology	Samyog Shrestha Efe G Kurt Kyungtae Kim Arun Prakash Ayhan Irfanoglu	2021/11/2
Evaluation of seismic vulnerability indices for low-rise reinforced concrete buildings including data from the 6 February 2016 Taiwan earthquake	Journal of Disaster Research	Santiago Pujol Lucas Laughery Aishwarya Puranam Pedram Hesam Li-Hui Cheng ...	2020/2/1
Observations about the seismic response of RC buildings in Mexico City	Earthquake Spectra	Sergio Alcocer Anahid Behrouzi Sergio Brena Kenneth J Elwood Ayhan Irfanoglu ...	2020/12