Sasmita Sahoo

1.1k total citations
21 papers, 859 citations indexed

About

Sasmita Sahoo is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, Sasmita Sahoo has authored 21 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 6 papers in Water Science and Technology and 3 papers in Geochemistry and Petrology. Recurrent topics in Sasmita Sahoo's work include Hydrological Forecasting Using AI (7 papers), Groundwater flow and contamination studies (7 papers) and Hydrology and Watershed Management Studies (6 papers). Sasmita Sahoo is often cited by papers focused on Hydrological Forecasting Using AI (7 papers), Groundwater flow and contamination studies (7 papers) and Hydrology and Watershed Management Studies (6 papers). Sasmita Sahoo collaborates with scholars based in India, United States and Ethiopia. Sasmita Sahoo's co-authors include Madan K. Jha, T. A. Russo, Ian Foster, Joshua Elliott, Priya Davidar, Jean‐Philippe Puyravaud, Prashanth Aravinda Kumar Acharya, Pratheesh C. Mammen, M. Arjunan and V. M. Chowdary and has published in prestigious journals such as Water Resources Research, Biological Conservation and International Journal of Environmental Research and Public Health.

In The Last Decade

Sasmita Sahoo

18 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sasmita Sahoo India 10 514 401 301 115 84 21 859
Youssef Brouziyne Morocco 18 431 0.8× 512 1.3× 346 1.1× 103 0.9× 103 1.2× 45 1.0k
Mustafa El-Rawy Egypt 17 463 0.9× 381 1.0× 192 0.6× 105 0.9× 210 2.5× 65 826
Basant Yadav India 14 484 0.9× 389 1.0× 228 0.8× 74 0.6× 91 1.1× 43 778
Abebe Debele Tolche Ethiopia 15 320 0.6× 251 0.6× 317 1.1× 53 0.5× 65 0.8× 27 654
Giuseppe Passarella Italy 17 395 0.8× 228 0.6× 162 0.5× 130 1.1× 145 1.7× 48 765
Shishir Gaur India 14 438 0.9× 293 0.7× 226 0.8× 172 1.5× 65 0.8× 53 719
T. A. Russo United States 15 566 1.1× 564 1.4× 325 1.1× 168 1.5× 275 3.3× 22 1.3k
Abdellah El Hmaidi Morocco 14 359 0.7× 281 0.7× 283 0.9× 43 0.4× 149 1.8× 73 826
Aman Mohammad Kalteh Iran 10 508 1.0× 413 1.0× 279 0.9× 46 0.4× 49 0.6× 13 901
Nebo Jovanovic South Africa 14 229 0.4× 334 0.8× 390 1.3× 96 0.8× 54 0.6× 50 830

Countries citing papers authored by Sasmita Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Sasmita Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sasmita Sahoo

This figure shows the co-authorship network connecting the top 25 collaborators of Sasmita Sahoo. A scholar is included among the top collaborators of Sasmita Sahoo 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 Sasmita Sahoo. Sasmita Sahoo 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.
Sahoo, Sasmita, et al.. (2025). Predictive modeling of evapotranspiration using LSTM and explainable AI. 6(3). 3534–3534.
2.
Sahoo, Sasmita & Deba Prakash Satapathy. (2025). An improved support vector machine model for groundwater level prediction: a case study. Earth Science Informatics. 18(1). 1 indexed citations
3.
Sahoo, Sasmita, et al.. (2024). Soil Diversities in Regards to Horticultural Variabilities. Environment and Ecology. 42(4). 1584–1589. 1 indexed citations
4.
Sahoo, Sasmita, et al.. (2020). Impact Of FRA In The Life And Livelihood Of Women Headed Households Including Widows: State Initiative, Success Story, Issues & Way Forward. 1 indexed citations
5.
Jha, Madan K., Richard C. Peralta, & Sasmita Sahoo. (2020). Simulation-Optimization for Conjunctive Water Resources Management and Optimal Crop Planning in Kushabhadra-Bhargavi River Delta of Eastern India. International Journal of Environmental Research and Public Health. 17(10). 3521–3521. 11 indexed citations
6.
Sahoo, Sasmita, et al.. (2019). Assessment of plant diversity and carbon stock of a sub-tropical forest stand of Mizoram, India.. 37. 229–237. 1 indexed citations
7.
8.
Sahoo, Sasmita, T. A. Russo, Joshua Elliott, & Ian Foster. (2017). Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.. Water Resources Research. 53(5). 3878–3895. 306 indexed citations
9.
10.
Sahoo, Sasmita & Madan K. Jha. (2016). Pattern recognition in lithology classification: modeling using neural networks, self-organizing maps and genetic algorithms. Hydrogeology Journal. 25(2). 311–330. 55 indexed citations
11.
Sahoo, Sasmita, T. A. Russo, & Upmanu Lall. (2016). Comment on “Quantifying renewable groundwater stress with GRACE” by Alexandra S. Richey et al.. Water Resources Research. 52(5). 4184–4187. 14 indexed citations
12.
Sahoo, Sasmita, et al.. (2016). Hydrologic and hydrogeologic analyses of an alluvial aquifer underlying Kushabhadra-Bhargavi River basin, Odisha, India. Arabian Journal of Geosciences. 9(15). 1 indexed citations
13.
Sahoo, Sasmita, et al.. (2015). Evaluation of GIS-based multicriteria decision analysis and probabilistic modeling for exploring groundwater prospects. Environmental Earth Sciences. 74(3). 2223–2246. 35 indexed citations
14.
Jha, Madan K. & Sasmita Sahoo. (2014). Efficacy of neural network and genetic algorithm techniques in simulating spatio‐temporal fluctuations of groundwater. Hydrological Processes. 29(5). 671–691. 63 indexed citations
15.
Sahoo, Sasmita & Madan K. Jha. (2014). On the statistical forecasting of groundwater levels in unconfined aquifer systems. Environmental Earth Sciences. 73(7). 3119–3136. 27 indexed citations
16.
Sahoo, Sasmita & Priya Davidar. (2013). Effect of harvesting pressure on plant diversity and vegetation structure of Sal forests of Similipal Tiger Reserve, Odisha.. Tropical Ecology. 54(1). 97–107. 9 indexed citations
17.
Sahoo, Sasmita, Jean‐Philippe Puyravaud, & Priya Davidar. (2013). Local Knowledge Suggests Significant Wildlife Decline and Forest Loss in Insurgent Affected Similipal Tiger Reserve, India. Tropical Conservation Science. 6(2). 230–240. 8 indexed citations
18.
Sahoo, Sasmita & Madan K. Jha. (2013). Groundwater-level prediction using multiple linear regression and artificial neural network techniques: a comparative assessment. Hydrogeology Journal. 21(8). 1865–1887. 160 indexed citations
19.
Sahoo, Sasmita, et al.. (2010). Agroecological Survey of Cyanobacterial Population in Paddy Field Soils of Gunupur. 2(2). 28–32. 5 indexed citations
20.
Davidar, Priya, Sasmita Sahoo, Pratheesh C. Mammen, et al.. (2010). Assessing the extent and causes of forest degradation in India: Where do we stand?. Biological Conservation. 143(12). 2937–2944. 117 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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