Ashmita Sengupta

975 total citations
27 papers, 716 citations indexed

About

Ashmita Sengupta is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Ashmita Sengupta has authored 27 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Water Science and Technology, 9 papers in Global and Planetary Change and 8 papers in Ecology. Recurrent topics in Ashmita Sengupta's work include Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (8 papers) and Fish Ecology and Management Studies (7 papers). Ashmita Sengupta is often cited by papers focused on Hydrology and Watershed Management Studies (16 papers), Flood Risk Assessment and Management (8 papers) and Fish Ecology and Management Studies (7 papers). Ashmita Sengupta collaborates with scholars based in Australia, United States and United Kingdom. Ashmita Sengupta's co-authors include C. T. Dhanya, Ali Mehran, Omid Mazdiyasni, M. Niknejad, Elisa Ragno, Shahrbanou Madadgar, Subimal Ghosh, Amir AghaKouchak, Mojtaba Sadegh and Steven J. Davis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Water Resources Research.

In The Last Decade

Ashmita Sengupta

25 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashmita Sengupta Australia 13 287 241 127 122 113 27 716
Annette Eschenbach Germany 17 227 0.8× 212 0.9× 71 0.6× 214 1.8× 146 1.3× 51 808
Qiyun Ma China 12 377 1.3× 189 0.8× 147 1.2× 135 1.1× 52 0.5× 24 730
J. K. Garg India 13 262 0.9× 170 0.7× 246 1.9× 173 1.4× 124 1.1× 42 708
Hu 14 142 0.5× 137 0.6× 86 0.7× 182 1.5× 49 0.4× 126 692
Emily M. White United States 14 215 0.7× 252 1.0× 132 1.0× 109 0.9× 86 0.8× 22 798
Scott Lerberg United States 9 132 0.5× 300 1.2× 114 0.9× 249 2.0× 56 0.5× 9 784
Qing Fu China 14 197 0.7× 273 1.1× 198 1.6× 254 2.1× 101 0.9× 31 723
Agrita Briede Latvia 12 187 0.7× 97 0.4× 204 1.6× 236 1.9× 30 0.3× 31 647
Manyin Zhang China 17 319 1.1× 65 0.3× 156 1.2× 168 1.4× 106 0.9× 72 959
Jiatang Hu China 15 129 0.4× 155 0.6× 142 1.1× 267 2.2× 45 0.4× 32 939

Countries citing papers authored by Ashmita Sengupta

Since Specialization
Citations

This map shows the geographic impact of Ashmita Sengupta'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 Ashmita Sengupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashmita Sengupta more than expected).

Fields of papers citing papers by Ashmita Sengupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashmita Sengupta. 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 Ashmita Sengupta. The network helps show where Ashmita Sengupta may publish in the future.

Co-authorship network of co-authors of Ashmita Sengupta

This figure shows the co-authorship network connecting the top 25 collaborators of Ashmita Sengupta. A scholar is included among the top collaborators of Ashmita Sengupta 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 Ashmita Sengupta. Ashmita Sengupta 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.
Giling, Darren P., Fiona Dyer, Michael Grace, et al.. (2025). Season and Flow Drive Productivity of a Regulated River. Ecosystems. 28(1).
2.
Chen, Yun, et al.. (2024). Refining ICESAT-2 ATL13 Altimetry Data for Improving Water Surface Elevation Accuracy on Rivers. Remote Sensing. 16(10). 1706–1706. 3 indexed citations
3.
Lymburner, Leo, et al.. (2024). Seeing the floods through the trees: Using adaptive shortwave infrared thresholds to map inundation under wooded wetlands. Hydrological Processes. 38(6). 3 indexed citations
4.
Mokany, Karel, David Peel, Rocío Ponce‐Reyes, et al.. (2024). Dynamic habitat modelling for water-dependent species in the Murray-Darling Basin. Ecological Indicators. 160. 111801–111801.
5.
Teng, Jin, Catherine Ticehurst, Steve Marvanek, et al.. (2023). The floodplain inundation history of the Murray-Darling Basin through two-monthly maximum water depth maps. Scientific Data. 10(1). 652–652. 6 indexed citations
6.
Teng, Jin, Barry Croke, Duojiao Tan, et al.. (2023). Development of a computationally efficient floodplain ecological response model for large-scale, data-sparse riparian environments. Ecological Informatics. 77. 102252–102252. 2 indexed citations
7.
McInerney, Paul, et al.. (2022). A synthesis of floodplain aquatic ecosystem metabolism and carbon flux using causal criteria analysis. Limnology and Oceanography. 68(1). 97–109. 5 indexed citations
8.
Ticehurst, Catherine, et al.. (2021). Generating two-monthly surface water images for the Murray-Darling Basin. 2 indexed citations
9.
Sutula, Martha, et al.. (2021). Dataset of terrestrial fluxes of freshwater, nutrients, carbon, and iron to the Southern California Bight, U.S.A.. SHILAP Revista de lepidopterología. 35. 106802–106802. 7 indexed citations
10.
Sutula, Martha, et al.. (2021). A baseline of terrestrial freshwater and nitrogen fluxes to the Southern California Bight, USA. Marine Pollution Bulletin. 170. 112669–112669. 14 indexed citations
11.
Taylor, Peter, et al.. (2021). Basin futures, a novel cloud-based system for preliminary river basin modelling and planning. Environmental Modelling & Software. 141. 105049–105049. 6 indexed citations
12.
Sengupta, Ashmita, et al.. (2018). Tools for managing hydrologic alteration on a regional scale: Estimating changes in flow characteristics at ungauged sites. Freshwater Biology. 63(8). 769–785. 19 indexed citations
13.
Mazor, Raphael D., et al.. (2018). Tools for managing hydrologic alteration on a regional scale: Setting targets to protect stream health. Freshwater Biology. 63(8). 786–803. 22 indexed citations
14.
Mazdiyasni, Omid, Amir AghaKouchak, Steven J. Davis, et al.. (2017). Increasing probability of mortality during Indian heat waves. Science Advances. 3(6). e1700066–e1700066. 296 indexed citations
15.
Sengupta, Ashmita, Robert J. Hawley, & Eric D. Stein. (2017). Predicting Hydromodification in Streams Using Nonlinear Memory-Based Algorithms in Southern California Streams. Journal of Water Resources Planning and Management. 144(1). 4 indexed citations
16.
17.
Maruya, Keith A., Nathan G. Dodder, Ashmita Sengupta, et al.. (2016). Multimedia screening of contaminants of emerging concern (CECS) in coastal urban watersheds in southern California (USA). Environmental Toxicology and Chemistry. 35(8). 1986–1994. 61 indexed citations
18.
Feldman, David L., et al.. (2015). Governance issues in developing and implementing offsets for water management benefits: Can preliminary evaluation guide implementation effectiveness?. Wiley Interdisciplinary Reviews Water. 2(2). 121–130. 3 indexed citations
19.
Sengupta, Ashmita, John Lyons, Deborah J. Smith, et al.. (2013). The occurrence and fate of chemicals of emerging concern in coastal urban rivers receiving discharge of treated municipal wastewater effluent. Environmental Toxicology and Chemistry. 33(2). 350–358. 75 indexed citations
20.
Nezlin, Nikolay P., Martha Sutula, Richard P. Stumpf, & Ashmita Sengupta. (2012). Phytoplankton blooms detected by SeaWiFS along the central and southern California coast. Journal of Geophysical Research Atmospheres. 117(C7). 28 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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