Khabat Khosravi

Global and Planetary Change · 2017–2021

A researcher in the Science corpus: 11 papers; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 87 citations into it
• Management, Monitoring, Policy and Law — 72 citations into it; #2,156 of 2,821 by trust here, #1,948 by citations
• Artificial Intelligence — 45 citations into it
• Environmental Engineering — 31 citations into it
• Mechanical Engineering — 31 citations into it; #6,552 of 8,300 by trust here, #7,458 by citations
• Safety, Risk, Reliability and Quality — 21 citations into it
• Atmospheric Science — 13 citations into it
• Information Systems — 13 citations into it

Whom Khabat Khosravi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. D. Tien Bui
2. Biswajeet Pradhan
3. Binh Thai Pham
4. Hamid Reza Pourghasemi
5. Robert M. O’Brien
6. Alexander Brenning
7. Haoyuan Hong
8. Seyed Amir Naghibi
9. Violeta Keršulienė
10. Joaquín Derrac

Who trusts Khabat Khosravi overall

1. Himan Shahabi
2. Jin Duan
3. D. Tien Bui
4. Ataollah Shirzadi
5. Mahdi Panahi
6. Amir Mosavi
7. Panagiotis G. Asteris
8. Mahyat Shafapour Tehrany
9. Wei Chen
10. Hoang Nguyen

Papers from Khabat Khosravi's perspective

Ordered by how strongly the researchers Khabat Khosravi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
2. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
3. Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran (Earth Science Informatics)
4. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network
5. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
6. Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
7. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
8. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
9. Landslide susceptibility mapping : A comparison of logistic regression and neural networks methods in a medium scale study, Hendek Region (Turkey)
10. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)

Their papers

• A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction (2021) — 46 citations
• Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling (2021) — 75 citations
• 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 (2020) — 334 citations
• Improving prediction of water quality indices using novel hybrid machine-learning algorithms. (2020) — 360 citations
• A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods (2019) — 629 citations
• Flood susceptibility mapping at Ningdu catchment, China using bivariate and data mining techniques (2019) — 48 citations
• Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree (2019) — 121 citations
• A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. (2018) — 676 citations
• Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization (2018) — 158 citations
• A novel hybrid artificial intelligence approach for flood susceptibility assessment (2017) — 561 citations
• Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India (2017) — 99 citations