Hamid Kalhori

Isfahan University of Technology

H-index: 9

Asia-Iran

About Hamid Kalhori

Hamid Kalhori, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Isfahan University of Technology, specializes in the field of Shotcrete, Data mining, Tunneling, Drilling, Signal Processing.

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

Monitoring of drill bit wear using sound and vibration signals analysis recorded during rock drilling operations

Wear Prediction of Rock Drill Bits Based on Geomechanical Properties of Rocks

Laboratory tests on the strengthening of wet-mix shotcrete lining with the use of nanomaterials

PRIMJENA METODOLOGIJA MEKOGA RAČUNARSTVA U PREDVIĐANJU 28-DNEVNE TLAČNE ČVRSTOĆE MLAZNOGA BETONA: KOMPARATIVNA USPOREDBA INDIVIDUALNOGA I HIBRIDNOGA MODELA

Application of soft computing methodologies to predict the 28-day compressive strength of shotcrete: a comparative study of individual and hybrid models

LABORATORIJSKI TEST ČVRSTOĆE MLAZNOGA BETONA DOBIVENOGA MOKRIM POSTUPKOM UPORABOM NANOMATERIJALA

Experimental study on the influence of the different percentage of nanoparticles on strength and freeze–thaw durability of shotcrete

Application of bacterial nanocellulose fibers as reinforcement in cement composites

Hamid Kalhori Information

University	Isfahan University of Technology
Position	Department of Mining Engineering
Citations(all)	532
Citations(since 2020)	479
Cited By	238
hIndex(all)	9
hIndex(since 2020)	9
i10Index(all)	8
i10Index(since 2020)	8
Email	Access Email
University Profile Page	Isfahan University of Technology
Google Scholar	View Google Scholar Profile

Hamid Kalhori Skills & Research Interests

Shotcrete

Data mining

Tunneling

Drilling

Signal Processing

Top articles of Hamid Kalhori

Title	Journal	Author(s)	Publication Date
Monitoring of drill bit wear using sound and vibration signals analysis recorded during rock drilling operations	Modeling Earth Systems and Environment	Hamid Kalhori Raheb Bagherpour Hossein Tudeshki	2024/1/3
Wear Prediction of Rock Drill Bits Based on Geomechanical Properties of Rocks	Arabian Journal for Science and Engineering	Hamid Kalhori Raheb Bagherpour Hossein Tudeshki	2023/12/26
Laboratory tests on the strengthening of wet-mix shotcrete lining with the use of nanomaterials	Rudarsko-geološko-naftni zbornik	Hamid Kalhori Raheb Bagherpour Mohammad Amir Akhlaghi Seyed Mohsen Mirdamadi Mehdi Nasiri Sarvi	2021/1/22
PRIMJENA METODOLOGIJA MEKOGA RAČUNARSTVA U PREDVIĐANJU 28-DNEVNE TLAČNE ČVRSTOĆE MLAZNOGA BETONA: KOMPARATIVNA USPOREDBA INDIVIDUALNOGA I HIBRIDNOGA MODELA	Rudarsko-geološko-naftni zbornik	Mahtab Torkan Hamid Kalhori Mohammad Hossein Jalalian	2021/11/24
Application of soft computing methodologies to predict the 28-day compressive strength of shotcrete: a comparative study of individual and hybrid models	Rudarsko-geološko-naftni zbornik	Mahtab Torkan Hamid Kalhori Mohammad Hossein Jalalian	2021/11/24
LABORATORIJSKI TEST ČVRSTOĆE MLAZNOGA BETONA DOBIVENOGA MOKRIM POSTUPKOM UPORABOM NANOMATERIJALA	Rudarsko-geološko-naftni zbornik	Hamid Kalhori Raheb Bagherpour Mohammad Amir Akhlaghi Sayed Mohsen Mirdamadi Mehdi Nasiri Sarvi	2021/1/22
Experimental study on the influence of the different percentage of nanoparticles on strength and freeze–thaw durability of shotcrete	Construction and Building Materials	Hamid Kalhori Behzad Bagherzadeh Raheb Bagherpour Mohammad Amir Akhlaghi	2020/9/30
Application of bacterial nanocellulose fibers as reinforcement in cement composites	Construction and Building Materials	Mohammad Amir Akhlaghi Raheb Bagherpour Hamid Kalhori	2020/4/30