V. V. Srinivas

2.8k total citations
63 papers, 2.1k citations indexed

About

V. V. Srinivas is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, V. V. Srinivas has authored 63 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Global and Planetary Change, 35 papers in Water Science and Technology and 16 papers in Environmental Engineering. Recurrent topics in V. V. Srinivas's work include Hydrology and Drought Analysis (44 papers), Climate variability and models (35 papers) and Hydrology and Watershed Management Studies (33 papers). V. V. Srinivas is often cited by papers focused on Hydrology and Drought Analysis (44 papers), Climate variability and models (35 papers) and Hydrology and Watershed Management Studies (33 papers). V. V. Srinivas collaborates with scholars based in India, United States and Australia. V. V. Srinivas's co-authors include A. Ramachandra Rao, Ravi S. Nanjundiah, Shivam Tripathi, D. Nagesh Kumar, Aavudai Anandhi, Bidroha Basu, K. Srinivasan, K. Srinivasan, P. Satyanarayana and Rao S. Govindaraju and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

In The Last Decade

V. V. Srinivas

59 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. V. Srinivas India 23 1.6k 944 686 611 125 63 2.1k
Deg‐Hyo Bae South Korea 24 1.6k 1.0× 1.2k 1.2× 695 1.0× 727 1.2× 163 1.3× 147 2.3k
N. K. Goel India 25 1.6k 1.0× 992 1.1× 626 0.9× 617 1.0× 124 1.0× 62 2.3k
Sutat Weesakul Thailand 19 1.2k 0.7× 552 0.6× 637 0.9× 456 0.7× 136 1.1× 48 1.8k
Rasoul Mirabbasi Iran 27 1.6k 1.0× 831 0.9× 529 0.8× 332 0.5× 136 1.1× 81 2.1k
Peyman Abbaszadeh United States 23 938 0.6× 608 0.6× 581 0.8× 553 0.9× 74 0.6× 34 1.7k
Rajib Maity India 28 1.5k 0.9× 733 0.8× 819 1.2× 599 1.0× 117 0.9× 114 2.2k
A. K. Lohani India 23 1.2k 0.8× 1.1k 1.1× 844 1.2× 431 0.7× 229 1.8× 67 2.1k
Zhongmin Liang China 25 1.3k 0.8× 1.3k 1.4× 916 1.3× 381 0.6× 162 1.3× 92 2.1k
Mauricio Zambrano‐Bigiarini Chile 19 1.4k 0.9× 973 1.0× 470 0.7× 1.2k 2.0× 120 1.0× 52 2.6k
Pao‐Shan Yu Taiwan 24 1.3k 0.8× 1.0k 1.1× 1.1k 1.6× 489 0.8× 203 1.6× 55 2.3k

Countries citing papers authored by V. V. Srinivas

Since Specialization
Citations

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

Fields of papers citing papers by V. V. Srinivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. V. Srinivas

This figure shows the co-authorship network connecting the top 25 collaborators of V. V. Srinivas. A scholar is included among the top collaborators of V. V. Srinivas 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 V. V. Srinivas. V. V. Srinivas 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.
Goel, Anubhav & V. V. Srinivas. (2025). A fuzzy framework for risk analysis of dam-break flood in climate change scenarios. International Journal of Disaster Risk Reduction. 119. 105322–105322. 1 indexed citations
2.
3.
Srinivas, V. V., et al.. (2024). Integrated Sustainability Index for Assessing the Performance of Water Distribution Network. Water Resources Management. 38(10). 3707–3724. 2 indexed citations
4.
Srinivas, V. V., et al.. (2023). Re-inventing Bethlahmy method for estimating probable maximum precipitation. Journal of Hydrology. 626. 130344–130344. 2 indexed citations
5.
Bala, Govindasamy, et al.. (2023). Opposite Changes in Monsoon Precipitation and Low Pressure System Frequency in Response to Orographic Forcing. Journal of Climate. 36(18). 6309–6329. 1 indexed citations
6.
7.
Srinivas, V. V., et al.. (2022). Global assessment of spatiotemporal variability of wet, normal and dry conditions using multiscale entropy-based approach. Scientific Reports. 12(1). 9767–9767. 13 indexed citations
8.
Srinivas, V. V., et al.. (2021). Fuzzy Ensemble Clustering Approach to Address Regionalization Uncertainties in Flood Frequency Analysis. Water Resources Research. 57(3). 5 indexed citations
9.
Srinivas, V. V., et al.. (2020). Development of Nonstationary Standardized Precipitation-Evapotranspiration Drought Index (nSPEI) using Climate Indices as Covariates. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
10.
Srinivas, V. V., et al.. (2020). A Mahalanobis Distance‐Based Automatic Threshold Selection Method for Peaks Over Threshold Model. Water Resources Research. 57(1). 11 indexed citations
11.
Srinivas, V. V., et al.. (2015). Evaluating Methods to Predict Streamflow at Ungauged Sites Using Regional Flow Duration Curves: A Case Study. Aquatic Procedia. 4. 641–648. 31 indexed citations
12.
Srinivas, V. V., et al.. (2015). Delineation of homogeneous temperature regions: a two-stage clustering approach. International Journal of Climatology. 36(1). 165–187. 9 indexed citations
13.
Pandey, Alok Kumar & V. V. Srinivas. (2015). Use of Data Driven Techniques for Short Lead Time Streamflow Forecasting in Mahanadi Basin. Aquatic Procedia. 4. 972–978. 4 indexed citations
14.
Basu, Bidroha & V. V. Srinivas. (2013). A Relook at Ohio Watershed Regions for Homogeneity in Flood Frequency Analysis. 2271–2280.
15.
Satyanarayana, P. & V. V. Srinivas. (2009). Regional frequency analysis of annual precipitation in data-sparse regions using large-scale atmospheric variables.. IAHS-AISH publication. 313–319. 1 indexed citations
16.
Anandhi, Aavudai, V. V. Srinivas, D. Nagesh Kumar, & Ravi S. Nanjundiah. (2008). Role of predictors in downscaling surface temperature to river basin in India for IPCC SRES scenarios using support vector machine. International Journal of Climatology. 29(4). 583–603. 93 indexed citations
17.
Tripathi, Shivam, V. V. Srinivas, & Rao S. Govindaraju. (2008). On Selection of Features for Regional Hydrologic Studies. World Environmental and Water Resources Congress 2008. 1–10. 1 indexed citations
18.
Tripathi, Shivam, V. V. Srinivas, & Ravi S. Nanjundiah. (2006). Downscaling of precipitation for climate change scenarios: A support vector machine approach. Journal of Hydrology. 330(3-4). 621–640. 459 indexed citations
19.
Rao, A. Ramachandra & V. V. Srinivas. (2005). Regionalization of watersheds by hybrid-cluster analysis. Journal of Hydrology. 318(1-4). 37–56. 179 indexed citations
20.
Srinivas, V. V. & K. Srinivasan. (2004). Hybrid moving block bootstrap for stochastic simulation of multi-site multi-season streamflows. Journal of Hydrology. 302(1-4). 307–330. 64 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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