Prashant K. Srivastava

11.0k total citations
268 papers, 7.6k citations indexed

About

Prashant K. Srivastava is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Prashant K. Srivastava has authored 268 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Environmental Engineering, 107 papers in Global and Planetary Change and 103 papers in Atmospheric Science. Recurrent topics in Prashant K. Srivastava's work include Soil Moisture and Remote Sensing (67 papers), Precipitation Measurement and Analysis (59 papers) and Remote Sensing in Agriculture (56 papers). Prashant K. Srivastava is often cited by papers focused on Soil Moisture and Remote Sensing (67 papers), Precipitation Measurement and Analysis (59 papers) and Remote Sensing in Agriculture (56 papers). Prashant K. Srivastava collaborates with scholars based in India, United Kingdom and United States. Prashant K. Srivastava's co-authors include Tanvir Islam, Sudhir Kumar Singh, Manika Gupta, Dawei Han, Miguel A. Rico‐Ramirez, George P. Petropoulos, Dhruvesh Patel, Saumitra Mukherjee, Szilárd Szabó and Michaela Bray and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Prashant K. Srivastava

258 papers receiving 7.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prashant K. Srivastava India 49 3.8k 3.4k 2.2k 2.2k 1.7k 268 7.6k
Abdelghani Chehbouni Morocco 44 5.1k 1.3× 3.8k 1.1× 1.8k 0.8× 2.1k 1.0× 3.5k 2.1× 287 9.5k
Matthew F. McCabe Saudi Arabia 58 7.4k 1.9× 4.8k 1.4× 3.0k 1.4× 3.9k 1.8× 3.3k 1.9× 225 13.0k
Kaishan Song China 54 3.1k 0.8× 1.6k 0.5× 2.4k 1.1× 892 0.4× 3.4k 2.0× 289 9.3k
Qi Feng China 51 4.2k 1.1× 2.5k 0.7× 2.9k 1.3× 2.4k 1.1× 1.6k 0.9× 406 9.7k
Swapan Talukdar India 37 3.5k 0.9× 1.8k 0.5× 1.5k 0.7× 789 0.4× 1.2k 0.7× 120 5.2k
S.M. de Jong Netherlands 44 2.4k 0.6× 2.6k 0.8× 1.2k 0.6× 2.2k 1.0× 2.3k 1.4× 143 7.4k
Aqil Tariq United States 45 2.7k 0.7× 1.8k 0.5× 799 0.4× 1.2k 0.5× 1.5k 0.9× 229 5.6k
Huili Gong China 44 1.7k 0.4× 2.1k 0.6× 894 0.4× 1.6k 0.7× 1.4k 0.8× 326 6.6k
Jay Gao New Zealand 37 3.0k 0.8× 2.0k 0.6× 639 0.3× 1.6k 0.7× 2.4k 1.4× 141 6.8k
András Bàrdossy Germany 56 6.5k 1.7× 3.0k 0.9× 5.1k 2.3× 3.3k 1.5× 752 0.4× 292 10.7k

Countries citing papers authored by Prashant K. Srivastava

Since Specialization
Citations

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

Fields of papers citing papers by Prashant K. Srivastava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant K. Srivastava. 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 Prashant K. Srivastava. The network helps show where Prashant K. Srivastava may publish in the future.

Co-authorship network of co-authors of Prashant K. Srivastava

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant K. Srivastava. A scholar is included among the top collaborators of Prashant K. Srivastava 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 Prashant K. Srivastava. Prashant K. Srivastava 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
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Pandey, Varsha, et al.. (2024). Techniques and tools for monitoring agriculture drought: A review. Elsevier eBooks. 497–519. 2 indexed citations
3.
Sajjad, Haroon, Pavan Kumar, Prashant K. Srivastava, et al.. (2024). Assessing soil organic carbon and its relation with biophysical and ecological parameters in tropical forest ecosystem India. Geocarto International. 40(1). 2 indexed citations
4.
Bhattacharya, Bimal K., et al.. (2024). Hyperspectral endmember extraction using convexity based purity index. Advances in Space Research. 75(1). 465–480.
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Rawat, Kishan Singh, et al.. (2023). Assessment of multi-source satellite products using hydrological modelling approach. Physics and Chemistry of the Earth Parts A/B/C. 133. 103507–103507. 7 indexed citations
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Singh, Prachi, et al.. (2023). Leaf chlorophyll content retrieval for AVIRIS-NG imagery using different feature selection and wavelet analysis. Advances in Space Research. 73(2). 1304–1315. 3 indexed citations
9.
Ingle, Pramod, Aniket Gade, Mahendra Rai, et al.. (2023). Bioremediation of industrial dye waste effluents aided by GIS applications: a comprehensive review. Environment Development and Sustainability. 26(5). 10945–10971. 5 indexed citations
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Petropoulos, George P., et al.. (2021). Exploring the potential of SCAT-SAR SWI for soil moisture retrievals at selected COSMOS-UK sites. International Journal of Remote Sensing. 42(23). 9155–9169. 6 indexed citations
13.
Drews, Martin, Pavan Kumar, Ramesh Singh, et al.. (2021). Model-based ensembles: Lessons learned from retrospective analysis of COVID-19 infection forecasts across 10 countries. The Science of The Total Environment. 806(Pt 2). 150639–150639. 5 indexed citations
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Srivastava, Prashant K., Manika Gupta, Rajendra Prasad, et al.. (2020). Sensitivity analysis of artificial neural network for chlorophyll prediction using hyperspectral data. Environment Development and Sustainability. 23(4). 5504–5519. 23 indexed citations
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Lal, Preet, Amit Kumar, Prashant K. Srivastava, et al.. (2020). Evaluating the 2018 extreme flood hazard events in Kerala, India. Remote Sensing Letters. 11(5). 436–445. 66 indexed citations
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Kalogeropoulos, Kleomenis, et al.. (2020). Quantifying Land Cover Changes in a Mediterranean Environment Using Landsat TM and Support Vector Machines. Forests. 11(7). 750–750. 31 indexed citations
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Singh, Prachi, Prashant K. Srivastava, Sumit Kumar Chaudhary, et al.. (2020). Denoising AVIRIS-NG Data for Generation of New Chlorophyll Indices. IEEE Sensors Journal. 21(5). 6982–6989. 17 indexed citations
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Pandey, Varsha & Prashant K. Srivastava. (2019). Integration of Microwave and Optical/Infrared Derived Datasets for a Drought Hazard Inventory in a Sub-Tropical Region of India. Remote Sensing. 11(4). 439–439. 19 indexed citations
20.
Yaduvanshi, Aradhana, et al.. (2018). Uncertainty in a Lumped and a Semi-Distributed Model for Discharge Prediction in Ghatshila Catchment. Water. 10(4). 381–381. 9 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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