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Author

Imran Khan

Observed name: IMRAN KHAN
Observed institutions: Tribhuvan University, Central Building Research Institute, University of Haripur, Geological Survey of India, Banaras Hindu University, Academy of Scientific and Innovative Research
ORCID: 0000-0001-7377-5251
Observed ORCID: 0000-0001-7377-5251
OpenAlex ID: A5101740117
Comparative landslide susceptibility assessment using information value and frequency ratio bivariate statistical methods: a case study from Northwestern Himalayas, Jammu and Kashmir, India
2024 · Imran Khan, Ashutosh Kainthola, et al. · Arabian Journal of Geosciences · 32
Novel evolutionary-optimized neural network for predicting landslide susceptibility
2023 · Rana Muhammad Adnan Ikram, Imran Khan, et al. · Environment Development and Sustainability · 29
Advanced Bivariate Geostatistical Modeling for High-Resolution Landslide Susceptibility Zonation for Effective Risk Management in the Northwestern Himalaya, India
2024 · Imran Khan, Vikas Yadav, et al. · Earth Systems and Environment · 26
Regional landslide susceptibility zonation utilizing bivariate statistical techniques in the northwestern Himalayas, Jammu and Kashmir, India
2024 · Imran Khan, Harish Bahuguna, et al. · Journal of Earth System Science · 21
Unravelling the impact of landslide inventory on landslide susceptibility in the Indian Himalaya
2025 · Imran Khan, Ashutosh Kainthola, et al. · Physics and Chemistry of the Earth Parts A/B/C · 16
National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach
2025 · Imran Khan, Harish Bahuguna, et al. · Scientific Reports · 15
Slope stability and surface displacement analysis of the Kuther Landslide in the Dehar Watershed, Himachal Himalaya, Northern India
2025 · Arun Kumar, Shashi Kant Rai, et al. · Discover Geoscience · 10
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Decoding Landslide Susceptibility in Wayanad District of Kerala, India, Using Machine Learning Approach
2025 · Imran Khan, Ashutosh Kainthola, et al. · Earth Systems and Environment · 9
GIS-Based Multi-temporal Analysis of Landslide Susceptibility Mapping Along the Ramban-Banihal Road Section of National Highway-44, Jammu and Kashmir
2024 · Imran Khan, Harish Bahuguna, et al. · Springer proceedings in earth and environmental sciences · 7
Landslide Susceptibility Analysis in the Ramban Basin, Jammu and Kashmir: A Statistical Approach for Comprehensive Susceptibility Assessment
2024 · Imran Khan, Ashutosh Kainthola, et al. · Springer proceedings in earth and environmental sciences · 6
Analysis of flash flood incidents triggered by cloudbursts and heavy downpours over Jammu and Kashmir, India: A spatiotemporal characteristics and implications
2025 · Imran Khan, Harish Bahuguna, et al. · Journal of Earth System Science · 4
Integrating FR, MFR and IV Models for Landslide Susceptibility Zonation Mapping in Joshimath Watershed, Uttarakhand, India
2024 · Imran Khan, Ashutosh Kainthola, et al. · Iranian Journal of Science and Technology Transactions of Civil Engineering · 3
Multi-Model Back Analysis for Predicting Landslide Occurrences Under Extreme Anthropogenic Regime in the Indian Himalaya
2026 · Imran Khan, Ashutosh Kainthola, et al. · International Journal of Environmental Research · 2
Designing landslide mitigation strategies through developing knowledge aware deep learning model integrated explainable artificial intelligence
2025 · Inzamam Ul Haq, Habibullah, et al. · Physics and Chemistry of the Earth Parts A/B/C · 1
Landslide susceptibility mapping in parts of Dibang Basin, Arunachal Pradesh: Cues using frequency ratio in GIS
2026 · Mijanur Ansary, Mohd Akhter Ali, et al. · Journal of Earth System Science
Landslide susceptibility mapping along the Solan-Shimla highway using the analytic hierarchy process, Himachal Pradesh, India
2026 · Kiker Singh, Satish Kumar, et al. · Discover Geoscience
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Assessing Landslide Susceptibility in Indian Himalayas: Comparing Polygon and Point-Based Inventories with Modified Frequency Ratio Approach
2024 · IMRAN KHAN, Harish Bahuguna, et al. · Research Square
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Works count: 17
Citation count: 181
H-index: 8
I10-index: 7
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