Vinit Sehgal

712 total citations
19 papers, 543 citations indexed

About

Vinit Sehgal is a scholar working on Environmental Engineering, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Vinit Sehgal has authored 19 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Environmental Engineering, 10 papers in Global and Planetary Change and 9 papers in Water Science and Technology. Recurrent topics in Vinit Sehgal's work include Hydrology and Watershed Management Studies (9 papers), Hydrological Forecasting Using AI (8 papers) and Climate variability and models (7 papers). Vinit Sehgal is often cited by papers focused on Hydrology and Watershed Management Studies (9 papers), Hydrological Forecasting Using AI (8 papers) and Climate variability and models (7 papers). Vinit Sehgal collaborates with scholars based in United States, India and Australia. Vinit Sehgal's co-authors include Venkataramana Sridhar, Chandranath Chatterjee, Binayak P. Mohanty, Rajeev Sahay, Maheswaran Rathinasamy, Rakesh Khosa, Mukesh Tiwari, Christian Bernhofer, Ankit Agarwal and Bellie Sivakumar and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Vinit Sehgal

18 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinit Sehgal United States 12 350 260 228 137 50 19 543
Tao-Chang Yang Taiwan 13 424 1.2× 290 1.1× 263 1.2× 173 1.3× 71 1.4× 18 697
Gwangseob Kim South Korea 10 322 0.9× 300 1.2× 208 0.9× 236 1.7× 47 0.9× 44 644
Minglei Ren China 10 297 0.8× 151 0.6× 184 0.8× 121 0.9× 26 0.5× 17 497
Fatemeh Mekanik Australia 8 365 1.0× 366 1.4× 176 0.8× 129 0.9× 107 2.1× 22 540
Chen-Min Kuo Taiwan 10 235 0.7× 192 0.7× 134 0.6× 98 0.7× 56 1.1× 14 422
Hirad Abghari Iran 12 460 1.3× 291 1.1× 307 1.3× 99 0.7× 67 1.3× 23 689
Morteza Lotfirad Iran 14 343 1.0× 150 0.6× 237 1.0× 51 0.4× 34 0.7× 27 484
Fatih Tosunoğlu Türkiye 15 550 1.6× 165 0.6× 257 1.1× 102 0.7× 33 0.7× 38 671
E. Welles United States 8 305 0.9× 220 0.8× 314 1.4× 133 1.0× 44 0.9× 11 472
Kai Lun Chong Malaysia 12 210 0.6× 265 1.0× 184 0.8× 63 0.5× 83 1.7× 20 462

Countries citing papers authored by Vinit Sehgal

Since Specialization
Citations

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

Fields of papers citing papers by Vinit Sehgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinit Sehgal

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

All Works

19 of 19 papers shown
1.
2.
Sehgal, Vinit, et al.. (2024). Global Terrestrial Water–Energy Coupling Across Scales. Ecohydrology. 18(2). 2 indexed citations
3.
Sehgal, Vinit & Binayak P. Mohanty. (2024). Preferential Hydrologic States and Tipping Characteristics of Global Surface Soil Moisture. Water Resources Research. 60(4). 4 indexed citations
4.
Sehgal, Vinit, Binayak P. Mohanty, & Rolf H. Reichle. (2024). Rootzone Soil Moisture Dynamics Using Terrestrial Water‐Energy Coupling. Geophysical Research Letters. 51(19). 6 indexed citations
5.
Sehgal, Vinit, et al.. (2021). Global Flash Drought Monitoring Using Surface Soil Moisture. Water Resources Research. 57(9). 53 indexed citations
6.
Sehgal, Vinit, et al.. (2020). Global Surface Soil Moisture Drydown Patterns. Water Resources Research. 57(1). 35 indexed citations
7.
Sachindra, D. A., Kamal Ahmed, Md. Mamunur Rashid, et al.. (2019). Pros and cons of using wavelets in conjunction with genetic programming and generalised linear models in statistical downscaling of precipitation. Theoretical and Applied Climatology. 138(1-2). 617–638. 20 indexed citations
8.
Sehgal, Vinit & Venkataramana Sridhar. (2018). Effect of hydroclimatological teleconnections on the watershed‐scale drought predictability in the southeastern United States. International Journal of Climatology. 38(S1). 18 indexed citations
9.
Sehgal, Vinit, Venkataramana Sridhar, Luke Juran, & Jactone Arogo Ogejo. (2018). Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S.. Sustainability. 10(9). 3079–3079. 17 indexed citations
10.
Sehgal, Vinit & Venkataramana Sridhar. (2018). Watershed-scale retrospective drought analysis and seasonal forecasting using multi-layer, high-resolution simulated soil moisture for Southeastern U.S. Weather and Climate Extremes. 23. 100191–100191. 42 indexed citations
11.
Sehgal, Vinit, et al.. (2017). A non-linear and non-stationary perspective for downscaling mean monthly temperature: a wavelet coupled second order Volterra model. Stochastic Environmental Research and Risk Assessment. 31(9). 2159–2181. 10 indexed citations
12.
Agarwal, Ankit, Maheswaran Rathinasamy, Vinit Sehgal, et al.. (2016). Hydrologic regionalization using wavelet-based multiscale entropy method. Journal of Hydrology. 538. 22–32. 96 indexed citations
13.
Sehgal, Vinit, Venkataramana Sridhar, & Aditya Tyagi. (2016). Stratified drought analysis using a stochastic ensemble of simulated and in-situ soil moisture observations. Journal of Hydrology. 545. 226–250. 43 indexed citations
14.
Sehgal, Vinit, et al.. (2016). Application of multi-scale wavelet entropy and multi-resolution Volterra models for climatic downscaling. Journal of Hydrology. 556. 1078–1095. 43 indexed citations
15.
Sahay, Rajeev & Vinit Sehgal. (2014). Wavelet-ANFIS models for forecasting monsoon flows: Case study for the Gandak River (India). Water Resources. 41(5). 574–582. 10 indexed citations
16.
Sehgal, Vinit, et al.. (2014). Wavelet-based models for air pollution modelling around coal mining sites in Jharkhand for 1, 3 and 5 day lead time. International Journal of Environment and Pollution. 56(1/2/3/4). 11–11. 2 indexed citations
17.
Sehgal, Vinit, Rajeev Sahay, & Chandranath Chatterjee. (2014). Effect of Utilization of Discrete Wavelet Components on Flood Forecasting Performance of Wavelet Based ANFIS Models. Water Resources Management. 28(6). 1733–1749. 59 indexed citations
18.
Sehgal, Vinit, Mukesh Tiwari, & Chandranath Chatterjee. (2014). Wavelet Bootstrap Multiple Linear Regression Based Hybrid Modeling for Daily River Discharge Forecasting. Water Resources Management. 28(10). 2793–2811. 68 indexed citations
19.
Sahay, Rajeev & Vinit Sehgal. (2012). Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India. Journal of Flood Risk Management. 6(2). 146–155. 15 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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