Amiya Basak
Impact in
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
- Groundwater and Watershed Analysis
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
Papers in
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- Hydrological Forecasting Using AI 3
- Groundwater and Watershed Analysis 3
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- Climate variability and models 2
- Flood Risk Assessment and Management 2
- Hydrology and Drought Analysis 1
- Co-authors
- A. T. M. Sakiur Rahman (5 shared papers)Jayanta Das (4 shared papers)Takahiro Hosono (3 shared papers)John Quilty (1 shared paper)Ranjan Roy (2 shared papers)Nazrul Islam (3 shared papers)Özgür Kişi (1 shared paper)Quoc Bao Pham (1 shared paper)
In The Last Decade
Amiya Basak
7 papers receiving 230 citations
Peers
Comparison fields: 5 of 51
- Environmental Engineering 149
- Water Science and Technology 96
- Global and Planetary Change 99
- Management, Monitoring, Policy and Law 36
- Geochemistry and Petrology 11
Countries citing papers authored by Amiya Basak
This map shows the geographic impact of Amiya Basak'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 Amiya Basak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amiya Basak more than expected).
Fields of papers citing papers by Amiya Basak
This network shows the impact of papers produced by Amiya Basak. 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 Amiya Basak. The network helps show where Amiya Basak may publish in the future.
Co-authors
The 13 scholars most cited alongside Amiya Basak, 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 | 2020 | 140 | |
| 2 | 2022 | 30 | |
| 3 | 2022 | 26 | |
| 4 | 2021 | 19 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 8 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 0 |
About Amiya Basak
Amiya Basak is a scholar working on Environmental Engineering, Global and Planetary Change, Water Science and Technology, Management, Monitoring, Policy and Law and Management Science and Operations Research, having authored 9 papers that have together received 233 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (3 papers), Groundwater and Watershed Analysis (3 papers), Hydrology and Watershed Management Studies (2 papers), Multi-Criteria Decision Making (2 papers), Soil and Land Suitability Analysis (2 papers), Climate variability and models (2 papers), Flood Risk Assessment and Management (2 papers) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Environmental Engineering (149 citations), Water Science and Technology (96 citations), Global and Planetary Change (99 citations), Management, Monitoring, Policy and Law (36 citations) and Geochemistry and Petrology (11 citations). Amiya Basak has collaborated with scholars based in India, Japan and Slovakia. Frequent co-authors include A. T. M. Sakiur Rahman, Jayanta Das, Takahiro Hosono, John Quilty, Ranjan Roy, Nazrul Islam, Özgür Kişi, Quoc Bao Pham, Md. Kamruzzaman and Asraful Alam. Their work appears in journals such as Hydrological Sciences Journal, Geocarto International, International Journal of Environmental Science and Technology, Modeling Earth Systems and Environment and Advances in Water Resources.
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.