Ataollah Shirzadi

About Ataollah Shirzadi

Ataollah Shirzadi, With an exceptional h-index of 57 and a recent h-index of 57 (since 2020), a distinguished researcher at University of Kurdistan, specializes in the field of Natural Hazards, Flood Modeling, Watershed Management, GIS, Machine Learning.

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

A systematic review of Muskingum flood routing techniques

Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping

Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches

Landslide susceptibility mapping in a mountainous area using machine learning algorithms

Spatial prediction of landslides using hybrid multi-criteria decision-making methods: A case study of the Saqqez-Marivan Mountain Road in Iran

Rangeland species potential mapping using machine learning algorithms

Spatial Prediction of Landslide using Hybrid Multi-Criteria Decision-Making Methods: A Case Study, Saqqez-Marivan Mountain Road

Artificial intelligence and machine learning in Earth science

Ataollah Shirzadi Information

University

Position

Dept. of Watershed Management Faculty of Natural Resources Iran

Citations(all)

9483

Citations(since 2020)

9197

Cited By

4003

hIndex(all)

57

hIndex(since 2020)

57

i10Index(all)

75

i10Index(since 2020)

75

Email

University Profile Page

Google Scholar

Ataollah Shirzadi Skills & Research Interests

Natural Hazards

Flood Modeling

Watershed Management

GIS

Machine Learning

Top articles of Ataollah Shirzadi

A systematic review of Muskingum flood routing techniques

2024/3/3

Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping

International Journal of Environmental Science and Technology

2023/10

Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches

Natural Hazards

2023/9

Landslide susceptibility mapping in a mountainous area using machine learning algorithms

Remote Sensing

2023/6/14

Spatial prediction of landslides using hybrid multi-criteria decision-making methods: A case study of the Saqqez-Marivan Mountain Road in Iran

Land

2023/5/30

Rangeland species potential mapping using machine learning algorithms

Ecological Engineering

2023/4/1

Spatial Prediction of Landslide using Hybrid Multi-Criteria Decision-Making Methods: A Case Study, Saqqez-Marivan Mountain Road

2023/3/15

Artificial intelligence and machine learning in Earth science

Frontiers in Earth Science

2023/1/4

Ataollah Shirzadi
Ataollah Shirzadi

H-Index: 40

Mohammed Oludare Idrees
Mohammed Oludare Idrees

H-Index: 10

Towards robust smart data-driven soil erodibility index prediction under different scenarios

Geocarto International

2022/12/13

Evaluation of geo-hazard induced by Zarand earthquake in Central Iran using thermal remote sensing data and GIS

2022/11/2

Spatial Prediction of Shallow Landslides Using Decision Tree Algorithm: A Case Study of Yozidar-Degaga Route in Kurdistan Province, Iran

Desert Ecosystem Engineering Journal

2022/7/22

Prediction of Gully Erosion Susceptibility and Its Hazards in Kloche Bijar Watershed Using Spatial Predictive Models

Environmental Management Hazards

2022/6/22

Himan Shahabi
Himan Shahabi

H-Index: 49

Ataollah Shirzadi
Ataollah Shirzadi

H-Index: 40

Application of a novel hybrid machine learning algorithm in shallow landslide susceptibility mapping in a mountainous area

Frontiers in Environmental Science

2022/6/13

Predicting sustainable arsenic mitigation using machine learning techniques

Ecotoxicology and Environmental Safety

2022/3/1

Robert W Taylor
Robert W Taylor

H-Index: 62

Ataollah Shirzadi
Ataollah Shirzadi

H-Index: 40

A robust deep-learning model for landslide susceptibility mapping: A case study of Kurdistan Province, Iran

Sensors

2022/2/17

Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides

Applied Soft Computing

2022/2/1

Landslide susceptibility modeling based on remote sensing data and data mining techniques

Environmental Earth Sciences

2022/1

A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran)

Environmental Earth Sciences

2022/1/19

Ataollah Shirzadi
Ataollah Shirzadi

H-Index: 40

Himan Shahabi
Himan Shahabi

H-Index: 49

Efficiency of artificial neural networks in determining scour depth at composite bridge piers

International Journal of River Basin Management

2021/7/3

Ataollah Shirzadi
Ataollah Shirzadi

H-Index: 40

Shatirah Akib
Shatirah Akib

H-Index: 23

See List of Professors in Ataollah Shirzadi University(University of Kurdistan)

Co-Authors

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