Biswajeet Pradhan

74.7k total citations · 44 hit papers
845 papers, 58.1k citations indexed

About

Biswajeet Pradhan is a scholar working on Global and Planetary Change, Management, Monitoring, Policy and Law and Environmental Engineering. According to data from OpenAlex, Biswajeet Pradhan has authored 845 papers receiving a total of 58.1k indexed citations (citations by other indexed papers that have themselves been cited), including 411 papers in Global and Planetary Change, 286 papers in Management, Monitoring, Policy and Law and 231 papers in Environmental Engineering. Recurrent topics in Biswajeet Pradhan's work include Flood Risk Assessment and Management (295 papers), Landslides and related hazards (251 papers) and Groundwater and Watershed Analysis (103 papers). Biswajeet Pradhan is often cited by papers focused on Flood Risk Assessment and Management (295 papers), Landslides and related hazards (251 papers) and Groundwater and Watershed Analysis (103 papers). Biswajeet Pradhan collaborates with scholars based in Australia, Malaysia and South Korea. Biswajeet Pradhan's co-authors include Saro Lee, Dieu Tien Bui, Hamid Reza Pourghasemi, Mahyat Shafapour Tehrany, Mustafa Neamah Jebur, Ahmed M. Youssef, Abdullah Alamri, Candan Gökçeoğlu, Manfred Buchroithner and Inge Revhaug and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Biswajeet Pradhan

816 papers receiving 56.9k citations

Hit Papers

Spatial prediction models... 2006 2026 2012 2019 2015 2012 2006 2012 2009 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 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
    2015 1.0k citations Dieu Tien Bui, Biswajeet Pradhan et al. profile →
  2. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
    2012 980 citations Biswajeet Pradhan profile →
  3. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models
    2006 848 citations Saro Lee, Biswajeet Pradhan profile →
  4. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
    2012 811 citations Biswajeet Pradhan et al. profile →
  5. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
    2009 780 citations Biswajeet Pradhan, Saro Lee profile →
  6. Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
    2014 770 citations Mahyat Shafapour Tehrany, Biswajeet Pradhan et al. Journal of Hydrology profile →
  7. A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
    2016 718 citations Wei Chen, Biswajeet Pradhan et al. CATENA profile →
  8. Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
    2013 653 citations Mahyat Shafapour Tehrany, Biswajeet Pradhan et al. Journal of Hydrology profile →
  9. Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
    2014 632 citations Mahyat Shafapour Tehrany, Biswajeet Pradhan et al. CATENA profile →
  10. 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
    2012 600 citations Biswajeet Pradhan et al. profile →
  11. A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
    2019 545 citations Khabat Khosravi, Himan Shahabi et al. Journal of Hydrology profile →
  12. An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
    2011 541 citations Biswajeet Pradhan et al. profile →
  13. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
    2009 538 citations Biswajeet Pradhan, Saro Lee profile →
  14. Application of GIS based data driven evidential belief function model to predict groundwater potential zonation
    2014 471 citations Biswajeet Pradhan et al. Journal of Hydrology profile →
  15. Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
    2012 468 citations Dieu Tien Bui, Biswajeet Pradhan et al. profile →
  16. A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
    2016 425 citations Binh Thai Pham, Biswajeet Pradhan et al. profile →
  17. Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
    2013 423 citations Biswajeet Pradhan et al. profile →
  18. Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
    2012 419 citations Biswajeet Pradhan et al. CATENA profile →
  19. Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
    2018 417 citations Haoyuan Hong, Dieu Tien Bui et al. CATENA profile →
  20. 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)
    2017 412 citations Biswajeet Pradhan, Shattri Mansor et al. Geomatics Natural Hazards and Risk profile →
  21. Suitability estimation for urban development using multi-hazard assessment map
    2016 410 citations Biswajeet Pradhan et al. profile →
  22. Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models
    2012 393 citations Biswajeet Pradhan et al. profile →
  23. Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area
    2011 386 citations Biswajeet Pradhan et al. profile →
  24. Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods
    2019 384 citations Wei Chen, Himan Shahabi et al. profile →
  25. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
    2018 376 citations Wei Chen, Haoyuan Hong et al. profile →
  26. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
    2015 373 citations Haoyuan Hong, Biswajeet Pradhan et al. CATENA profile →
  27. Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
    2015 368 citations Mahyat Shafapour Tehrany, Biswajeet Pradhan et al. profile →
  28. A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
    2013 361 citations Biswajeet Pradhan, Hyuck‐Jin Park et al. CATENA profile →
  29. Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
    2017 354 citations Hossein Mojaddadi Rizeei, Biswajeet Pradhan et al. Geomatics Natural Hazards and Risk profile →
  30. Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
    2018 323 citations Biswajeet Pradhan et al. Journal of Hydrology profile →
  31. Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models
    2012 317 citations Dieu Tien Bui, Biswajeet Pradhan et al. CATENA profile →
  32. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm
    2011 302 citations Biswajeet Pradhan et al. profile →
  33. A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area
    2016 302 citations Dieu Tien Bui, Biswajeet Pradhan et al. profile →
  34. A review of neural networks in plant disease detection using hyperspectral data
    2018 300 citations Biswajeet Pradhan et al. profile →
  35. Modification of landslide susceptibility mapping using optimized PSO-ANN technique
    2018 282 citations Biswajeet Pradhan et al. profile →
  36. A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination
    2018 282 citations Biswajeet Pradhan et al. profile →
  37. Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment
    2019 275 citations Maher Ibrahim Sameen, Biswajeet Pradhan et al. CATENA profile →
  38. GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
    2016 271 citations Dieu Tien Bui, Biswajeet Pradhan et al. profile →
  39. Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study
    2019 231 citations Biswajeet Pradhan et al. profile →
  40. Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review
    2020 219 citations Abolfazl Abdollahi, Biswajeet Pradhan et al. profile →
  41. Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model
    2023 133 citations Biswajeet Pradhan, Saro Lee et al. Geoscience Frontiers profile →
  42. An explainable AI (XAI) model for landslide susceptibility modeling
    2023 120 citations Biswajeet Pradhan, Saro Lee et al. profile →
  43. Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model
    2023 101 citations Abolfazl Abdollahi, Biswajeet Pradhan profile →
  44. Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review
    2023 100 citations Biswajeet Pradhan, Shilpa Gite et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Biswajeet Pradhan Australia 125 32.9k 25.0k 14.6k 10.5k 8.6k 845 58.1k
Dieu Tien Bui Vietnam 103 16.1k 0.5× 13.4k 0.5× 6.3k 0.4× 4.7k 0.4× 4.4k 0.5× 274 29.3k
Hamid Reza Pourghasemi Iran 89 15.6k 0.5× 11.3k 0.5× 7.9k 0.5× 5.8k 0.6× 3.2k 0.4× 267 24.9k
Saro Lee South Korea 86 13.5k 0.4× 13.4k 0.5× 5.3k 0.4× 3.6k 0.3× 3.5k 0.4× 241 22.0k
Binh Thai Pham Vietnam 87 11.3k 0.3× 8.8k 0.4× 4.5k 0.3× 3.8k 0.4× 3.1k 0.4× 290 22.2k
Himan Shahabi Iran 71 9.2k 0.3× 6.0k 0.2× 3.4k 0.2× 3.3k 0.3× 2.2k 0.3× 154 13.6k
Haoyuan Hong China 64 9.0k 0.3× 7.4k 0.3× 2.2k 0.2× 2.5k 0.2× 2.8k 0.3× 101 13.1k
Thomas Blaschke Austria 74 10.3k 0.3× 5.0k 0.2× 5.4k 0.4× 1.4k 0.1× 4.8k 0.6× 339 22.3k
Philippe Ciais France 146 60.6k 1.8× 2.6k 0.1× 12.5k 0.9× 9.3k 0.9× 28.4k 3.3× 1.1k 94.7k
Keith Beven United Kingdom 96 21.5k 0.7× 3.0k 0.1× 14.6k 1.0× 28.5k 2.7× 6.0k 0.7× 425 41.9k

Countries citing papers authored by Biswajeet Pradhan

Since Specialization
Citations

This map shows the geographic impact of Biswajeet Pradhan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Biswajeet Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biswajeet Pradhan more than expected).

Fields of papers citing papers by Biswajeet Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Biswajeet Pradhan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Biswajeet Pradhan. The network helps show where Biswajeet Pradhan may publish in the future.

Co-authorship network of co-authors of Biswajeet Pradhan

This figure shows the co-authorship network connecting the top 25 collaborators of Biswajeet Pradhan. A scholar is included among the top collaborators of Biswajeet Pradhan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Biswajeet Pradhan. Biswajeet Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singha, Chiranjit, et al.. (2025). Machine learning-based mapping of fog water harvesting potential in Pithoragarh, Uttarakhand: Evaluating climate scenarios and geospatial influences. Physics and Chemistry of the Earth Parts A/B/C. 141. 104138–104138.
2.
Pradhan, Biswajeet, et al.. (2025). A critical review of hurricane risk assessment models and predictive frameworks. Geoscience Frontiers. 16(3). 102012–102012. 1 indexed citations
3.
Pradhan, Biswajeet, et al.. (2024). A comparative study of various combination strategies for landslide susceptibility mapping considering landslide types. Geoscience Frontiers. 16(2). 101999–101999. 3 indexed citations
4.
Thepade, Sudeep D., et al.. (2024). Enhancing semantic segmentation for autonomous vehicle scene understanding in indian context using modified CANet model. MethodsX. 14. 103131–103131. 3 indexed citations
5.
Pradhan, Biswajeet, et al.. (2024). Machine Learning-based GIS Model for 2D and 3D Vehicular Noise Modelling in a Data-scarce Environment. International Journal on Smart Sensing and Intelligent Systems. 17(1).
6.
7.
Hoque, Muhammad Al-Amin, et al.. (2024). Mapping Tropical Cyclone Risks in Coastal Bangladesh: An Integrated Geospatial Approach. Earth Systems and Environment. 9(2). 1353–1370. 1 indexed citations
8.
Rahman, Md. Shahriar, et al.. (2024). MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition. IEEE Access. 12. 83638–83657. 2 indexed citations
9.
Masoudi, Masoud, et al.. (2023). A New Spatial Model for Ecological Suitability Assessment of Irrigated Farming in Jahrom County, Iran. Revista Caatinga. 36(1). 177–188. 5 indexed citations
10.
Horry, Michael J., et al.. (2023). Two-Speed Deep-Learning Ensemble for Classification of Incremental Land-Cover Satellite Image Patches. Earth Systems and Environment. 7(2). 525–540. 12 indexed citations
11.
Pradhan, Biswajeet, et al.. (2022). Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique. Foods. 11(14). 2019–2019. 29 indexed citations
12.
Hoque, Muhammad Al-Amin, Biswajeet Pradhan, Naser Ahmed, Bayes Ahmed, & Abdullah Alamri. (2021). Cyclone vulnerability assessment of the western coast of Bangladesh. Geomatics Natural Hazards and Risk. 12(1). 198–221. 54 indexed citations
13.
Abdollahi, Abolfazl & Biswajeet Pradhan. (2021). Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI). Sensors. 21(14). 4738–4738. 78 indexed citations
14.
Saddami, Khairun, et al.. (2021). BreaCNet: A high-accuracy breast thermogram classifier based on mobile convolutional neural network. Mathematical Biosciences & Engineering. 19(2). 1304–1331. 20 indexed citations
15.
16.
Pradhan, Biswajeet, et al.. (2020). Land Use Feature Extraction and Sprawl Development Prediction from Quickbird Satellite Imagery Using Dempster-Shafer and Land Transformation Model. National Remote Sensing Bulletin. 36(1). 15–27. 3 indexed citations
17.
Khosravi, Khabat, Himan Shahabi, Binh Thai Pham, et al.. (2019). A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods. Journal of Hydrology. 573. 311–323. 545 indexed citations breakdown →
18.
Bui, Dieu Tien, Himan Shahabi, Ataollah Shirzadi, et al.. (2018). Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms. Sensors. 18(8). 2464–2464. 143 indexed citations
19.
Shafri, Helmi Zulhaidi Mohd, et al.. (2018). Deep Learning Approach for Building Detection Using LiDAR–Orthophoto Fusion. Journal of Sensors. 2018. 1–12. 58 indexed citations
20.
Tehrany, Mahyat Shafapour, Biswajeet Pradhan, Shattri Mansor, & Noordin Ahmad. (2014). Flood susceptibility assessment using GIS-based support vector machine model with different kernel types. CATENA. 125. 91–101. 632 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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