World's Best Scientists 2026 revealed!
Khabat Khosravi

Khabat Khosravi

D-Index & Metrics

Environmental Sciences

D-Index
52
Citations
11080
World Ranking
4447
National Ranking
16

Best Publications

  • A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.

    Khabat Khosravi;Binh Thai Pham;Kamran Chapi;Ataollah Shirzadi

  • A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

    Khabat Khosravi;Himan Shahabi;Binh Thai Pham;Jan Adamowski

  • A novel hybrid artificial intelligence approach for flood susceptibility assessment

    Kamran Chapi;Vijay P. Singh;Ataollah Shirzadi;Himan Shahabi

  • Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

    Jie Dou;Ali P. Yunus;Dieu Tien Bui;Abdelaziz Merghadi

  • A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique

    Khabat Khosravi;Ebrahim Nohani;Edris Maroufinia;Hamid Reza Pourghasemi

  • Improving prediction of water quality indices using novel hybrid machine-learning algorithms.

    Duie Tien Bui;Khabat Khosravi;John Tiefenbacher;Hoang Nguyen

  • Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

    Himan Shahabi;Ataollah Shirzadi;Kayvan Ghaderi;Ebrahim Omidvar

  • Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

    Phuong Thao Thi Ngo;Mahdi Panahi;Khabat Khosravi;Omid Ghorbanzadeh

  • Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon ' s entropy, statistical index, and weighting factor models.

    Khabat Khosravi;Hamid Reza Pourghasemi;Kamran Chapi;Masoumeh Bahri

  • Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea.

    Unknown

  • Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm.

    Yi Wang;Haoyuan Hong;Haoyuan Hong;Wei Chen;Shaojun Li

  • New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

    Dieu Tien Bui;Khabat Khosravi;Shaojun Li;Himan Shahabi

  • Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

    Ebrahim Nohani;Meisam Moharrami;Samira Sharafi;Khabat Khosravi

  • A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment.

    Khabat Khosravi;Majid Sartaj;Frank T.-C. Tsai;Vijay P. Singh

  • Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

    Dieu Tien Bui;Khabat Khosravi;Himan Shahabi;Prasad Daggupati

  • Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization

    Wei Chen;Wei Chen;Mahdi Panahi;Khabat Khosravi;Hamid Reza Pourghasemi

  • Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.

    Ataollah Shirzadi;Karim Soliamani;Mahmood Habibnejhad;Ataollah Kavian

  • Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran

    Khabat Khosravi;Mahdi Panahi;Ali Golkarian;Saskia D. Keesstra;Saskia D. Keesstra

  • Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

    Dieu Tien Bui;Mahdi Panahi;Himan Shahabi;Vijay P. Singh

  • Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization

    Khabat Khosravi;Mahdi Panahi;Dieu Tien Bui

Frequent Co-Authors

Prasad Daggupati
Prasad Daggupati University of Guelph
Luca Mao
Luca Mao University of Lincoln
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Baharin Bin Ahmad
Baharin Bin Ahmad University of Technology Malaysia
Himan Shahabi
Himan Shahabi University of Kurdistan
Ataollah Shirzadi
Ataollah Shirzadi University of Kurdistan
Micòl Mastrocicco
Micòl Mastrocicco University of Campania "Luigi Vanvitelli"
Sinan Q. Salih
Sinan Q. Salih IEEE Computer Society
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Environmental Sciences opens doors to diverse career pathways, many of which can be further enhanced through various online degree programs. For educators in the field, pursuing eds to edd bridge programs online offers a seamless transition from a master’s to a doctoral level, helping professionals advance in academic or leadership roles.

Those interested in the social implications of environmental issues may consider online degrees such as online dsw programs in social work. These programs equip graduates to address community health and social justice challenges impacted by environmental factors.

For students seeking flexibility, most affordable online general studies degree programs provide a broad educational foundation while allowing for a focus on environmental topics through electives or minors.

Additionally, if balancing workload and earning a degree quickly is a priority, exploring the easiest bachelor's degree options can help prospective students identify programs that align with their personal strengths and schedules, setting a strong base for further specialization in Environmental Sciences.

Best Scientists Citing Khabat Khosravi

Recently Published Articles