World's Best Scientists 2026 revealed!
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Earth Science
Australia
2026

D-Index & Metrics

Earth Science

D-Index
140
Citations
69605
World Ranking
11
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Earth Science in Australia Leader Award
  • 2025 - Research.com Earth Science in Australia Leader Award
  • 2023 - Research.com Earth Science in Australia Leader Award
  • 2022 - Research.com Earth Science in Australia Leader Award

Overview

Biswajeet Pradhan is affiliated with the University of Technology Sydney in Australia. Their research primarily focuses on environmental science, with significant contributions to subfields such as global and planetary change, environmental engineering, management, monitoring, policy and law, artificial intelligence, and atmospheric science.

The scientist's work covers a range of topics including flood risk assessment and management, landslides and related hazards, hydrology and watershed management studies, remote-sensing image classification, groundwater and watershed analysis, hydrology and drought analysis, and soil erosion and sediment transport.

Recent papers authored by or involving Biswajeet Pradhan include:

  • COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data (2020), IEEE Access
  • Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review (2020), Applied Sciences
  • Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review (2020), Remote Sensing
  • Interpretable and explainable AI (XAI) model for spatial drought prediction (2021), The Science of The Total Environment
  • Pathways and challenges of the application of artificial intelligence to geohazards modelling (2020), Gondwana Research

Frequent co-authors collaborating with Biswajeet Pradhan include:

  • Abdullah Alamri
  • Shilpa Gite
  • Subrata Chakraborty
  • Abhirup Dikshit
  • Ratiranjan Jena

The scientist has contributed extensively to various publication venues. The most frequent of these are:

  • Remote Sensing (34 publications)
  • IEEE Access (18 publications)
  • Sensors (15 publications)
  • Geocarto International (14 publications)
  • The Science of The Total Environment (13 publications)

Biswajeet Pradhan has also published books, including "Spatial Modelling of Flood Risk and Flood Hazards" (2022) under GIScience and geo-environmental modelling, and the "Proceedings of UASG 2021: Wings 4 Sustainability" (2023) published by Springer Nature.

Best Publications

  • Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

    Dieu Tien Bui;Dieu Tien Bui;Tran Anh Tuan;Harald Klempe;Biswajeet Pradhan

  • A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

    Biswajeet Pradhan

  • Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models

    Saro Lee;Biswajeet Pradhan

  • Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

    Hamid Reza Pourghasemi;Biswajeet Pradhan;Candan Gokceoglu

  • Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

    Mahyat Shafapour Tehrany;Biswajeet Pradhan;Mustafa Neamah Jebur

  • A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility

    Wei Chen;Xiaoshen Xie;Jiale Wang;Biswajeet Pradhan;Biswajeet Pradhan

  • Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

    Mahyat Shafapour Tehrany;Biswajeet Pradhan;Mustafa Neamah Jebur

  • Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling

    Biswajeet Pradhan;Saro Lee

  • Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

    Mahyat Shafapour Tehrany;Biswajeet Pradhan;Shattri Mansor;Noordin Ahmad

  • An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia

    Masoud Bakhtyari Kia;Saied Pirasteh;Biswajeet Pradhan;Ahmad Rodzi Mahmud

  • Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models

    Biswajeet Pradhan;Saro Lee

  • 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

  • Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya

    Krishna Chandra Devkota;Amar Deep Regmi;Hamid Reza Pourghasemi;Kohki Yoshida

  • A comparative study of different machine learning methods for landslide susceptibility assessment

    Binh Thai Pham;Biswajeet Pradhan;Dieu Tien Bui;Indra Prakash

  • Application of GIS based data driven evidential belief function model to predict groundwater potential zonation

    Haleh Nampak;Biswajeet Pradhan;Mohammad Abd Manap

  • Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models

    Dieu Tien Bui;Biswajeet Pradhan;Owe Lofman;Inge Revhaug

  • Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

    Bahareh Kalantar;Biswajeet Pradhan;Seyed Amir Naghibi;Alireza Motevalli

  • Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran

    Hamid Reza Pourghasemi;Majid Mohammady;Biswajeet Pradhan

  • Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya

    Amar Deep Regmi;Krishna Chandra Devkota;Kohki Yoshida;Biswajeet Pradhan

  • Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery

    Ahmed M. Youssef;Biswajeet Pradhan;Abdallah Mohamed Hassan

  • Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster-Shafer, and weights-of-evidence models

    Majid Mohammady;Hamid Reza Pourghasemi;Biswajeet Pradhan

  • Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

    Hyun-Joo Oh;Biswajeet Pradhan;Biswajeet Pradhan

Frequent Co-Authors

Dieu Tien Bui
Dieu Tien Bui University of South-Eastern Norway
Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Hamid Reza Pourghasemi
Hamid Reza Pourghasemi Shiraz University
Helmi Zulhaidi Mohd Shafri
Helmi Zulhaidi Mohd Shafri Universiti Putra Malaysia
Haoyuan Hong
Haoyuan Hong Nanjing University of Information Science and Technology
Amin Beiranvand Pour
Amin Beiranvand Pour Universiti Malaysia Terengganu
Himan Shahabi
Himan Shahabi University of Kurdistan
Candan Gokceoglu
Candan Gokceoglu Cappadocia University
Basem Zoheir
Basem Zoheir Benha University
A-Xing Zhu
A-Xing Zhu University of Wisconsin–Madison

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