Kushanav Bhuyan
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- Landslides and related hazards 15
- Global and Planetary Change top 5%
- Flood Risk Assessment and Management 13
- Fire effects on ecosystems 2
- Atmospheric Science top 10%
- Cryospheric studies and observations 8
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- Geotechnical Engineering and Analysis 3
- Civil and Structural Engineering top 10%
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- Groundwater and Watershed Analysis 2
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- Tree Root and Stability Studies 2
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Sansar Raj MeenaFilippo CataniMario FlorisLorenzo NavaC.J. van WestenOriol MonserratLucas Pedrosa SoaresAkshansha Chauhan
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Kushanav Bhuyan
17 papers receiving 597 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Management, Monitoring, Policy and Law 522
- Global and Planetary Change 280
- Atmospheric Science 221
- Safety, Risk, Reliability and Quality 82
- Civil and Structural Engineering 71
Countries citing papers authored by Kushanav Bhuyan
This map shows the geographic impact of Kushanav Bhuyan'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 Kushanav Bhuyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kushanav Bhuyan more than expected).
Fields of papers citing papers by Kushanav Bhuyan
This network shows the impact of papers produced by Kushanav Bhuyan. 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 Kushanav Bhuyan. The network helps show where Kushanav Bhuyan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kushanav Bhuyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 20 | |
| 6 | Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning modelsbreakdown → | 2023 | 80 |
| 7 | 2023 | 19 | |
| 8 | 2023 | 27 | |
| 9 | Landslide displacement forecasting using deep learning and monitoring data across selected sitesbreakdown → | 2023 | 89 |
| 10 | 2023 | 49 | |
| 11 | 2022 | 61 | |
| 12 | 2022 | 49 | |
| 13 | Landslide detection in the Himalayas using machine learning algorithms and U-Netbreakdown → | 2022 | 125 |
| 14 | 2022 | 18 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 22 |
About Kushanav Bhuyan
Kushanav Bhuyan is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science, having authored 19 papers that have together received 612 indexed citations. Recurring topics across this work include Landslides and related hazards (15 papers), Flood Risk Assessment and Management (13 papers), Cryospheric studies and observations (8 papers), Geotechnical Engineering and Analysis (3 papers), Groundwater and Watershed Analysis (2 papers), Tree Root and Stability Studies (2 papers), Fire effects on ecosystems (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (522 citations), Global and Planetary Change (280 citations) and Atmospheric Science (221 citations). Kushanav Bhuyan has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Sansar Raj Meena, Filippo Catani, Mario Floris, Lorenzo Nava, C.J. van Westen, Oriol Monserrat, Lucas Pedrosa Soares, Akshansha Chauhan, R. P. Singh and Ramesh P. Singh. Their work appears in journals such as Nature Communications, Scientific Reports and Nature Geoscience.
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.