Sangeeta Verma

753 total citations
43 papers, 538 citations indexed

About

Sangeeta Verma is a scholar working on Water Science and Technology, Soil Science and Global and Planetary Change. According to data from OpenAlex, Sangeeta Verma has authored 43 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Water Science and Technology, 11 papers in Soil Science and 9 papers in Global and Planetary Change. Recurrent topics in Sangeeta Verma's work include Hydrology and Watershed Management Studies (13 papers), Soil erosion and sediment transport (7 papers) and Flood Risk Assessment and Management (6 papers). Sangeeta Verma is often cited by papers focused on Hydrology and Watershed Management Studies (13 papers), Soil erosion and sediment transport (7 papers) and Flood Risk Assessment and Management (6 papers). Sangeeta Verma collaborates with scholars based in India, Russia and Ireland. Sangeeta Verma's co-authors include Ravindra Kumar Verma, Sumeet Mishra, Surendra Kumar Mishra, Anju Singh, Anju Singh, Puja Srivastava, Ashish Pandey, Pushpendra Singh, Vishal Singh and Vijay P. Singh and has published in prestigious journals such as Journal of Hydrology, Palaeogeography Palaeoclimatology Palaeoecology and Global and Planetary Change.

In The Last Decade

Sangeeta Verma

38 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sangeeta Verma India	13	293	189	130	85	72	43	538
Wenlin Chen United States	11	146 0.5×	130 0.7×	138 1.1×	110 1.3×	62 0.9×	28	543
Rose Shillito United States	8	186 0.6×	191 1.0×	85 0.7×	91 1.1×	48 0.7×	11	384
Dejian Zhang China	14	518 1.8×	537 2.8×	144 1.1×	94 1.1×	65 0.9×	43	836
Teang Shui Lee Malaysia	13	183 0.6×	272 1.4×	169 1.3×	82 1.0×	57 0.8×	30	536
Ligang Ma China	12	186 0.6×	151 0.8×	179 1.4×	37 0.4×	56 0.8×	22	488
Kang Liang China	11	161 0.5×	88 0.5×	64 0.5×	70 0.8×	32 0.4×	34	392
Raji Pushpalatha India	10	525 1.8×	454 2.4×	212 1.6×	85 1.0×	83 1.2×	30	744
Yong Yuan China	16	206 0.7×	285 1.5×	84 0.6×	137 1.6×	126 1.8×	49	695
Katrijn Holvoet Belgium	7	271 0.9×	89 0.5×	107 0.8×	81 1.0×	19 0.3×	12	462
Sanjay Kumar India	13	100 0.3×	219 1.2×	80 0.6×	78 0.9×	42 0.6×	59	452

Countries citing papers authored by Sangeeta Verma

Since Specialization

Citations

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

Fields of papers citing papers by Sangeeta Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangeeta Verma

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

All Works

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20 of 20 papers shown

Verma, Sangeeta, et al.. (2024). Improved SCS-CN Methodology Incorporating Storm Duration and Temporally Decaying Retention for Enhanced Runoff Prediction. Journal of Hydrologic Engineering. 29(6). 2 indexed citations

Verma, Ravindra Kumar, et al.. (2023). Sensitivity and performance evaluation of improved SCS-CN model by incorporating temporally decaying retention parameter with varying soil moisture for more versatile applications. Paddy and Water Environment. 21(3). 307–324. 1 indexed citations

Verma, Sangeeta & Ravindra Kumar Verma. (2023). SCS-CN methodology further modified. Water Science & Technology Water Supply. 23(6). 2604–2622. 1 indexed citations

Pandey, Ashish, et al.. (2023). A Review of Environmental Flow Assessment Studies in India with Implementation Enabling Factors and Constraints. Ecohydrology & Hydrobiology. 23(4). 662–677. 10 indexed citations

Saraswat, Rajeev, et al.. (2023). Mid-Pleistocene Transition altered upper water column structure in the Bay of Bengal. Global and Planetary Change. 227. 104174–104174. 5 indexed citations

Lamba, M., et al.. (2021). Study on in- vitro antidiabetic potential of stem part of Musa paradisiaca Linn. 2(1). 1–5. 1 indexed citations

Verma, Ravindra Kumar, Sangeeta Verma, Surendra Kumar Mishra, & Ashish Pandey. (2021). SCS-CN-Based Improved Models for Direct Surface Runoff Estimation from Large Rainfall Events. Water Resources Management. 35(7). 2149–2175. 37 indexed citations

Verma, Sangeeta, et al.. (2021). Development of an empirical model for sub-surface soil moisture estimation and variability assessment in a lesser Himalayan watershed. Modeling Earth Systems and Environment. 8(3). 3487–3505. 7 indexed citations

Verma, Sangeeta, Pushpendra Kumar Singh, Sumeet Mishra, et al.. (2020). Activation soil moisture accounting (ASMA) for runoff estimation using soil conservation service curve number (SCS-CN) method. Journal of Hydrology. 589. 125114–125114. 55 indexed citations

10.

Verma, Sangeeta, Anju Singh, Surendra Kumar Mishra, Pushpendra Singh, & Ravindra Kumar Verma. (2018). Efficacy of slope-adjusted curve number models with varying initial abstraction coefficient for runoff estimation. International Journal of Hydrology Science and Technology. 8(4). 317–317. 16 indexed citations

11.

Verma, Ravindra Kumar, et al.. (2013). Evaluation of Water Quality Index of Damodar River for Drinking Purpose Using Computer Programming. Asian Journal of Water Environment and Pollution. 10(2). 27–40. 1 indexed citations

12.

Verma, Sangeeta, et al.. (2011). Preparation and quality evaluation of honey Amla Murabba. 1(1). 40–45. 6 indexed citations

13.

Verma, Sangeeta, et al.. (2001). Development, flexible packaging and ambient storage quality of intermediate moisture chicken meat. Indian Journal of Poultry Science. 36(1). 82–86. 1 indexed citations

14.

Verma, Sangeeta, et al.. (2000). Development, quality evaluation-and shelf-life of egg pancakes under vacuum and aerobic packaging. Indian Journal of Poultry Science. 35(2). 188–192. 1 indexed citations

15.

Singh, Shashi Bala, Deepak Yadav, Sangeeta Verma, et al.. (1997). High altitude effects on human taste intensity and hedonics.. PubMed. 68(12). 1123–8. 26 indexed citations

16.

Singh, Sandip K., et al.. (1990). Effect of genetic and nongenetic factors on body weight, efficiency of feed utilization, reproductive performance and survivability in Landrace, desi and their halfbreds.. The Indian Journal of Animal Sciences. 60(10). 1219–1223. 2 indexed citations

17.

Sachdev, Archana, Deepak Singh, Ram Gopal, & Sangeeta Verma. (1990). Sex, live weight and dressed weight affecting carcass yield characteristics in Kadaknath.. The Indian Journal of Animal Sciences. 60(11). 1395–1398.

18.

Anand, Sanjeev, et al.. (1989). Effect of storage on microbial quality of dressed chicken held at 18 c. Journal of Food Science and Technology-mysore. 26(5). 296–297. 3 indexed citations

19.

Verma, Sangeeta, et al.. (1989). Microbial changes on chicken carcasses during processing. Indian Journal of Poultry Science. 24(3). 203–209. 5 indexed citations

20.

Verma, Sangeeta, et al.. (1986). Effect of strain on physical egg quality characteristics in White Leghorn chickens. 23 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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