Amiya Basak

413 total citations
9 papers, 233 citations indexed

About

Amiya Basak is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Amiya Basak has authored 9 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 4 papers in Global and Planetary Change and 3 papers in Water Science and Technology. Recurrent topics in Amiya Basak's work include Hydrological Forecasting Using AI (3 papers), Groundwater and Watershed Analysis (3 papers) and Flood Risk Assessment and Management (2 papers). Amiya Basak is often cited by papers focused on Hydrological Forecasting Using AI (3 papers), Groundwater and Watershed Analysis (3 papers) and Flood Risk Assessment and Management (2 papers). Amiya Basak collaborates with scholars based in India, Japan and Slovakia. Amiya Basak's co-authors include A. T. M. Sakiur Rahman, Jayanta Das, Takahiro Hosono, John Quilty, Nazrul Islam, Ranjan Roy, Özgür Kişi, Md. Kamruzzaman, Quoc Bao Pham and Nazrul Islam and has published in prestigious journals such as Advances in Water Resources, Hydrological Sciences Journal and International Journal of Environmental Science and Technology.

In The Last Decade

Amiya Basak

7 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amiya Basak India 6 149 99 96 36 21 9 233
Gholamreza Zehtabian Iran 10 122 0.8× 141 1.4× 79 0.8× 36 1.0× 50 2.4× 31 284
Farnaz Daneshvar Vousoughi Iran 7 241 1.6× 147 1.5× 182 1.9× 15 0.4× 16 0.8× 13 348
Tewodros Assefa Nigussie Ethiopia 9 161 1.1× 183 1.8× 121 1.3× 15 0.4× 45 2.1× 17 320
Azazkhan Ibrahimkhan Pathan India 9 105 0.7× 218 2.2× 139 1.4× 30 0.8× 47 2.2× 15 283
Iwan Ridwansyah Indonesia 9 72 0.5× 76 0.8× 118 1.2× 10 0.3× 13 0.6× 70 265
Ayman Nassar United States 8 118 0.8× 268 2.7× 134 1.4× 23 0.6× 32 1.5× 24 338
Hamid Mohebzadeh Canada 10 204 1.4× 179 1.8× 192 2.0× 9 0.3× 24 1.1× 22 330
Anca Crăciun Romania 10 92 0.6× 253 2.6× 113 1.2× 75 2.1× 46 2.2× 11 323
Muhammad Usman Liaqat Italy 12 131 0.9× 139 1.4× 96 1.0× 19 0.5× 38 1.8× 17 310
Bing-Chen Jhong Taiwan 11 172 1.2× 234 2.4× 121 1.3× 10 0.3× 116 5.5× 19 324

Countries citing papers authored by Amiya Basak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Amiya Basak

This figure shows the co-authorship network connecting the top 25 collaborators of Amiya Basak. A scholar is included among the top collaborators of Amiya Basak 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 Amiya Basak. Amiya Basak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Rahman, A. T. M. Sakiur, et al.. (2025). Basin-wide groundwater-level forecasting in Kumamoto, Japan: integrating transfer learning with long short-term memory network. Hydrological Sciences Journal. 70(14). 2590–2608. 1 indexed citations
3.
4.
Islam, Nazrul, et al.. (2022). A novel GIS-based MCDM approach to identify the potential eco-tourism sites in the Eastern Dooars region (Himalayan foothill) of West Bengal, India. Geocarto International. 37(26). 13145–13175. 30 indexed citations
5.
Kamruzzaman, Md., et al.. (2022). Assessment and adaptation strategies of climate change through the prism of farmers' perception: A case study. International Journal of Environmental Science and Technology. 20(5). 5609–5628. 9 indexed citations
6.
Basak, Amiya, A. T. M. Sakiur Rahman, Jayanta Das, Takahiro Hosono, & Özgür Kişi. (2022). Drought forecasting using the Prophet model in a semi-arid climate region of western India. Hydrological Sciences Journal. 67(9). 1397–1417. 26 indexed citations
7.
Islam, Nazrul, et al.. (2021). Land suitability analysis for paddy crop using GIS-based Fuzzy-AHP (F-AHP) method in Koch Bihar district, West Bengal. Geocarto International. 37(25). 8952–8978. 19 indexed citations
8.
Basak, Amiya, Jayanta Das, A. T. M. Sakiur Rahman, & Quoc Bao Pham. (2021). An Integrated Approach for Delineating and Characterizing Groundwater Depletion Hotspots in a Coastal State of India. Journal of the Geological Society of India. 97(11). 1429–1440. 8 indexed citations
9.
Rahman, A. T. M. Sakiur, Takahiro Hosono, John Quilty, Jayanta Das, & Amiya Basak. (2020). Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms. Advances in Water Resources. 141. 103595–103595. 140 indexed citations

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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