Roshani Singh

723 total citations
25 papers, 462 citations indexed

About

Roshani Singh is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Roshani Singh has authored 25 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 10 papers in Environmental Engineering and 8 papers in Water Science and Technology. Recurrent topics in Roshani Singh's work include Flood Risk Assessment and Management (10 papers), Hydrology and Watershed Management Studies (7 papers) and Groundwater and Watershed Analysis (7 papers). Roshani Singh is often cited by papers focused on Flood Risk Assessment and Management (10 papers), Hydrology and Watershed Management Studies (7 papers) and Groundwater and Watershed Analysis (7 papers). Roshani Singh collaborates with scholars based in India, United Kingdom and Japan. Roshani Singh's co-authors include Md Hibjur Rahaman, Haroon Sajjad, Md Masroor, Raihan Ahmed, Sufia Rehman, Mehebub Sahana, Tamal Kanti Saha, Ram Avtar, Haroon Sajjad and Swades Pal and has published in prestigious journals such as Journal of Cleaner Production, CATENA and Journal of environmental chemical engineering.

In The Last Decade

Roshani Singh

24 papers receiving 445 citations

Peers

Roshani Singh
Md Hibjur Rahaman India
Md Masroor India
M Mohseni Saravi Iran
Raoof Mostafazadeh Iran
Bakimchandra Oinam India
Shailesh Sharma India
Adane Abebe Ethiopia
Pankaj Kumar Pandey India
Lingling Zhao China
Peter C. Beeson United States
Md Hibjur Rahaman India
Roshani Singh
Citations per year, relative to Roshani Singh Roshani Singh (= 1×) peers Md Hibjur Rahaman

Countries citing papers authored by Roshani Singh

Since Specialization
Citations

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

Fields of papers citing papers by Roshani Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roshani Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Roshani Singh. A scholar is included among the top collaborators of Roshani Singh 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 Roshani Singh. Roshani Singh 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.
Sajjad, Haroon, et al.. (2025). A systematic review on climate change-induced flood susceptibility, vulnerability and risk: future research perspective. Environmental Monitoring and Assessment. 197(10). 1127–1127.
2.
Singh, Roshani, Md Hibjur Rahaman, Md Masroor, Haroon Sajjad, & Tamal Kanti Saha. (2024). Assessment of Habitat Suitability and Potential Corridors for Bengal Tiger (Panthera tigris tigris) in Valmiki Tiger Reserve, India, Using MaxEnt Model and Least-Cost Modeling Approach. Environmental Modeling & Assessment. 29(2). 405–422. 3 indexed citations
3.
Sajjad, Haroon, et al.. (2024). Assessment of climate change in Upper Jhelum Sub-catchment, India, using nonparametric methods and random forest model. Acta Geophysica. 73(3). 2987–3006. 3 indexed citations
4.
Saha, Tamal Kanti, et al.. (2024). Exploring the impact of land use/land cover changes on the dynamics of Deepor wetland (a Ramsar site) in Assam, India using geospatial techniques and machine learning models. Modeling Earth Systems and Environment. 10(3). 4043–4065. 20 indexed citations
5.
6.
Rahaman, Md Hibjur, et al.. (2024). Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis. Journal of environmental chemical engineering. 12(3). 112915–112915. 17 indexed citations
7.
8.
Sajjad, Haroon, et al.. (2023). A systematic review for assessing the impact of climate change on landslides: research gaps and directions for future research. Spatial Information Research. 32(2). 165–185. 18 indexed citations
9.
Sajjad, Haroon, Tamal Kanti Saha, Roshani Singh, et al.. (2023). Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms. CATENA. 234. 107581–107581. 17 indexed citations
10.
Rehman, Sufia, Md Hibjur Rahaman, Md Masroor, et al.. (2023). Analyzing vulnerability of communities to flood using composite vulnerability index: evidence from Bhagirathi Sub-basin, India. Natural Hazards. 119(3). 1341–1377. 9 indexed citations
11.
Sajjad, Haroon, et al.. (2023). Morphometric parameters based prioritization of watersheds for soil erosion risk in Upper Jhelum Sub-catchment, India. Environmental Monitoring and Assessment. 196(1). 82–82. 9 indexed citations
12.
Sajjad, Haroon, et al.. (2023). Effectiveness of machine learning ensemble models in assessing groundwater potential in Lidder watershed, India. Acta Geophysica. 72(4). 2843–2856. 17 indexed citations
13.
Rahaman, Md Hibjur, Roshani Singh, Md Masroor, & Haroon Sajjad. (2023). Integrating remote sensing derived indices and machine learning algorithms for precise extraction of small surface water bodies in the lower Thoubal river watershed, India. Journal of Cleaner Production. 422. 138563–138563. 26 indexed citations
14.
Rahaman, Md Hibjur, Tamal Kanti Saha, Md Masroor, Roshani Singh, & Haroon Sajjad. (2023). Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models. Modeling Earth Systems and Environment. 10(1). 551–577. 22 indexed citations
15.
Rahaman, Md Hibjur, Md Masroor, Sufia Rehman, et al.. (2022). State of Art of Review on Climate Variability and Water Resources: Bridging Knowledge Gaps and the Way Forward. Water Resources. 49(4). 699–710. 8 indexed citations
16.
Singh, Roshani, Haroon Sajjad, Pankaj Kumar, et al.. (2022). Forest Vulnerability to Climate Change: A Review for Future Research Framework. Forests. 13(6). 917–917. 35 indexed citations
17.
Rehman, Sufia, Haroon Sajjad, Md Masroor, et al.. (2022). Assessment of evidence-based climate variability in Bhagirathi sub-basin of India: a geostatistical analysis. Acta Geophysica. 70(1). 445–463. 11 indexed citations
18.
Singh, Roshani, Haroon Sajjad, Tamal Kanti Saha, et al.. (2022). Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm. Acta Geophysica. 71(1). 531–552. 28 indexed citations
19.
Masroor, Md, Sufia Rehman, Haroon Sajjad, et al.. (2021). Assessing the impact of drought conditions on groundwater potential in Godavari Middle Sub-Basin, India using analytical hierarchy process and random forest machine learning algorithm. Groundwater for Sustainable Development. 13. 100554–100554. 55 indexed citations
20.
Singh, Roshani, et al.. (2020). Development of potential microbial consortia and their assessment on wheat (Triticum aestivum) seed germination.. 38(1). 6–16. 5 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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