V. S. Prasad

1.0k total citations
79 papers, 515 citations indexed

About

V. S. Prasad is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, V. S. Prasad has authored 79 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Atmospheric Science, 57 papers in Global and Planetary Change and 14 papers in Oceanography. Recurrent topics in V. S. Prasad's work include Meteorological Phenomena and Simulations (59 papers), Climate variability and models (52 papers) and Tropical and Extratropical Cyclones Research (26 papers). V. S. Prasad is often cited by papers focused on Meteorological Phenomena and Simulations (59 papers), Climate variability and models (52 papers) and Tropical and Extratropical Cyclones Research (26 papers). V. S. Prasad collaborates with scholars based in India, United States and Jordan. V. S. Prasad's co-authors include M. Das Gupta, Taiichi Hayashi, Upal Saha, Sanjeev Kumar Singh, S. Indira Rani, E. N. Rajagopal, P. Mukhopadhyay, V. R. Durai, R. Phani and Medha Deshpande and has published in prestigious journals such as Geophysical Research Letters, IEEE Transactions on Geoscience and Remote Sensing and Atmospheric chemistry and physics.

In The Last Decade

V. S. Prasad

62 papers receiving 501 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. S. Prasad India 13 415 393 143 53 22 79 515
S. Indira Rani India 11 437 1.1× 427 1.1× 130 0.9× 75 1.4× 25 1.1× 40 555
Young Cheol Kwon South Korea 14 634 1.5× 489 1.2× 179 1.3× 46 0.9× 11 0.5× 29 709
Richard Renshaw United Kingdom 9 542 1.3× 550 1.4× 70 0.5× 74 1.4× 18 0.8× 17 640
R. Vishnu India 9 276 0.7× 295 0.8× 63 0.4× 24 0.5× 12 0.5× 27 361
Ruping Mo Canada 15 530 1.3× 527 1.3× 114 0.8× 55 1.0× 23 1.0× 32 613
Linlin Pan United States 11 323 0.8× 337 0.9× 109 0.8× 45 0.8× 11 0.5× 27 398
Manuel Fuentes United Kingdom 5 409 1.0× 436 1.1× 105 0.7× 43 0.8× 7 0.3× 5 515
P. K. Thapliyal India 10 265 0.6× 201 0.5× 66 0.5× 111 2.1× 8 0.4× 59 359
Hongyan Zhu Australia 12 494 1.2× 478 1.2× 141 1.0× 34 0.6× 11 0.5× 24 567
Xinghua Bao China 12 704 1.7× 677 1.7× 61 0.4× 40 0.8× 12 0.5× 31 769

Countries citing papers authored by V. S. Prasad

Since Specialization
Citations

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

Fields of papers citing papers by V. S. Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. S. Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of V. S. Prasad. A scholar is included among the top collaborators of V. S. Prasad 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. S. Prasad. V. S. Prasad 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.
Singh, H. N., Anumeha Dube, Raghavendra Ashrit, Prashant K. Srivastava, & V. S. Prasad. (2025). Object-based forecasting of heat waves over India: A novel approach. Journal of Earth System Science. 134(3).
2.
Jayakumar, A., Saji Mohandas, Paul R. Field, et al.. (2025). Analysis of raindrop size distribution from the double moment cloud microphysics scheme for monsoon over a tropical station. Atmospheric chemistry and physics. 25(18). 11423–11439.
4.
Mamgain, Ashu, et al.. (2024). Grand ensemble forecasts verification based on two high resolution (∼12 km) global ensemble prediction systems. Atmospheric Research. 309. 107585–107585.
5.
Sarkar, Abhijit, et al.. (2024). Evaluating lightning forecasts of a convective scale ensemble prediction system over India. Theoretical and Applied Climatology. 155(6). 4407–4422. 2 indexed citations
6.
George, John P., et al.. (2024). Variability of sea ice concentration over Antarctica during recent decade. Journal of Earth System Science. 134(1). 2 indexed citations
7.
Routray, Ashish, et al.. (2024). Study of Heat Wave Using High‐Resolution Real Time Meso‐Scale Analysis Over India. Geophysical Research Letters. 51(17). 1 indexed citations
8.
Kumar, Kondapalli Niranjan, Akhilesh Mishra, Raghavendra Ashrit, et al.. (2024). Unraveling Subseasonal Drought Dynamics in India: Insights from NCMRWF Extended Range Prediction System. Journal of Hydrometeorology. 25(8). 1191–1207. 1 indexed citations
9.
Saha, Upal, V. S. Prasad, S. Indira Rani, & John P. George. (2024). Rare winter‐thunderstorms with hail overnight 12/13 December 2019 over Delhi and its vicinity: an observational study. Weather. 80(7). 234–243.
10.
Mamgain, Ashu, et al.. (2024). Relative economic value of global ensemble prediction system of NCMRWF, India, for extreme weather events. Quarterly Journal of the Royal Meteorological Society. 150(761). 1831–1846. 1 indexed citations
14.
Shankar, Gauri, et al.. (2024). Ensemble versus deterministic lightning forecast performance at a convective scale over Indian region. Atmospheric Research. 312. 107727–107727. 3 indexed citations
15.
Prasad, K. B. R. R. Hari, et al.. (2023). The impact of Indian radar and lightning data assimilation on the short‐range forecasts of heavy rainfall events. Quarterly Journal of the Royal Meteorological Society. 150(759). 796–819. 3 indexed citations
16.
Prasad, V. S., et al.. (2023). Low Complex Receiver Signal Detection algorithms for GFDM Systems. 13–18. 1 indexed citations
17.
Nadimpalli, Raghu, Akhil Srivastava, V. S. Prasad, et al.. (2020). Impact of INSAT-3D/3DR Radiance Data Assimilation in Predicting Tropical Cyclone Titli Over the Bay of Bengal. IEEE Transactions on Geoscience and Remote Sensing. 58(10). 6945–6957. 22 indexed citations
18.
Prasad, V. S., et al.. (2016). Impact of 3D Var GSI-ENKF hybrid data assimilation system. Journal of Earth System Science. 125(8). 1509–1521. 22 indexed citations
19.
Prasad, V. S., et al.. (2014). Impact of Assimilation of Megha-Tropiques ROSA Radio Occultation Refractivity by Observing System Simulation Experiment. Current Science. 106(9). 1297–1305. 3 indexed citations
20.
Prasad, V. S., et al.. (2004). Role of atmospheric stability over the Arabian Sea and the unprecedented failure of monsoon 2002. Current Science. 86(7). 938–947. 18 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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