V. Lakshmi

12.6k total citations · 5 hit papers
254 papers, 9.0k citations indexed

About

V. Lakshmi is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, V. Lakshmi has authored 254 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Environmental Engineering, 134 papers in Atmospheric Science and 116 papers in Global and Planetary Change. Recurrent topics in V. Lakshmi's work include Soil Moisture and Remote Sensing (103 papers), Precipitation Measurement and Analysis (84 papers) and Hydrology and Watershed Management Studies (69 papers). V. Lakshmi is often cited by papers focused on Soil Moisture and Remote Sensing (103 papers), Precipitation Measurement and Analysis (84 papers) and Hydrology and Watershed Management Studies (69 papers). V. Lakshmi collaborates with scholars based in United States, Vietnam and Australia. V. Lakshmi's co-authors include Thomas J. Jackson, E. G. Njoku, S. V. Nghiem, T. K. Chan, John Bolten, Bin Fang, Hyunglok Kim, Michael H. Cosh, Thanh‐Nhan‐Duc Tran and U. Narayan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

V. Lakshmi

236 papers receiving 8.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Soil moisture retrieval from AMSR-E

2003 1.2k citations Thomas J. Jackson, V. Lakshmi et al. profile →
IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences

2003 976 citations V. Lakshmi et al. profile →
Enhancing human resilience against climate change: Assessment of hydroclimatic extremes and sea level rise impacts on the Eastern Shore of Virginia, United States

2024 80 citations Thanh‐Nhan‐Duc Tran, V. Lakshmi profile →
Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections

2024 54 citations Thanh‐Nhan‐Duc Tran, Binh Quang Nguyen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →
Assessing terrestrial water storage variations in Afghanistan using GRACE and FLDAS-Central Asia data

2024 39 citations Thanh‐Nhan‐Duc Tran, V. Lakshmi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Lakshmi United States	50	5.1k	4.5k	3.8k	3.1k	829	254	9.0k
R. Uijlenhoet Netherlands	51	2.9k 0.6×	4.6k 1.0×	4.8k 1.3×	3.3k 1.1×	463 0.6×	247	8.9k
Wade T. Crow United States	60	8.6k 1.7×	7.8k 1.7×	3.8k 1.0×	3.3k 1.1×	2.1k 2.5×	261	11.8k
Jean‐Christophe Calvet France	48	5.5k 1.1×	5.2k 1.1×	2.8k 0.7×	1.1k 0.4×	1.1k 1.3×	177	7.9k
C. D. Peters‐Lidard United States	55	3.7k 0.7×	6.4k 1.4×	6.2k 1.6×	2.9k 0.9×	828 1.0×	208	10.3k
Luca Brocca Italy	64	7.5k 1.5×	7.2k 1.6×	5.1k 1.3×	4.8k 1.6×	2.2k 2.6×	260	12.9k
Zhongbo Su Netherlands	60	5.9k 1.2×	5.6k 1.2×	8.1k 2.2×	3.1k 1.0×	1.3k 1.5×	428	13.7k
Patricia de Rosnay United Kingdom	46	5.0k 1.0×	5.6k 1.2×	2.7k 0.7×	1.2k 0.4×	1.1k 1.4×	123	7.9k
Patrick Matgen Luxembourg	43	2.2k 0.4×	2.6k 0.6×	4.7k 1.3×	3.6k 1.2×	357 0.4×	142	6.7k
Sujay V. Kumar United States	44	2.9k 0.6×	4.1k 0.9×	4.1k 1.1×	2.5k 0.8×	564 0.7×	212	7.5k
Gabriëlle De Lannoy Belgium	45	4.0k 0.8×	4.2k 0.9×	2.2k 0.6×	1.9k 0.6×	931 1.1×	160	6.6k

Countries citing papers authored by V. Lakshmi

Since Specialization

Citations

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

Fields of papers citing papers by V. Lakshmi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rajaram, Harihar, et al.. (2025). Observing decreasing snow cover and increasing surface temperature across the Andes with remotely sensed and reanalysis data. Environmental Research Communications. 7(2). 21009–21009.

Lakshmi, V., et al.. (2024). Intensification in the Wettest Days to 50 Percent of Annual Precipitation (WD50) Across Europe. Geophysical Research Letters. 51(3). 7 indexed citations

Tran, Thanh‐Nhan‐Duc, et al.. (2024). Investigating the Future Flood and Drought Shifts in the Transboundary Srepok River basin Using CMIP6 Projections. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 1–16. 54 indexed citations breakdown →

Fang, Bin, et al.. (2024). A Soil Moisture and Vegetation-Based Susceptibility Mapping Approach to Wildfire Events in Greece. Remote Sensing. 16(10). 1816–1816. 4 indexed citations

Trump, Benjamin D., et al.. (2024). Sensitivity of development goals to water scarcity of Iraq and transboundary regions. 12. 100121–100121. 3 indexed citations

Tran, Thanh‐Nhan‐Duc, et al.. (2023). Evaluation of Satellite-Derived Precipitation Products for Streamflow Simulation of a Mountainous Himalayan Watershed: A Study of Myagdi Khola in Kali Gandaki Basin, Nepal. Remote Sensing. 15(19). 4762–4762. 39 indexed citations

Kim, Hyunglok, Wade T. Crow, Wolfgang Wagner, Xiaojun Li, & V. Lakshmi. (2023). A Bayesian machine learning method to explain the error characteristics of global-scale soil moisture products. Remote Sensing of Environment. 296. 113718–113718. 13 indexed citations

Tiwari, Amar Deep, Yadu Pokhrel, Daniel Kramer, et al.. (2023). A synthesis of hydroclimatic, ecological, and socioeconomic data for transdisciplinary research in the Mekong. Scientific Data. 10(1). 283–283. 15 indexed citations

Tran, Thanh‐Nhan‐Duc, et al.. (2023). Quantification of Gridded Precipitation Products for the Streamflow Simulation on the Mekong River Basin Using Rainfall Assessment Framework: A Case Study for the Srepok River Subbasin, Central Highland Vietnam. Remote Sensing. 15(4). 1030–1030. 51 indexed citations

10.

Sutton, J. R., et al.. (2022). Comparing Precipitation during Typhoons in the Western North Pacific Using Satellite and In Situ Observations. Remote Sensing. 14(4). 877–877. 4 indexed citations

11.

Fang, Bin, V. Lakshmi, Michael H. Cosh, et al.. (2022). A global 1‐km downscaled SMAP soil moisture product based on thermal inertia theory. Vadose Zone Journal. 21(2). 55 indexed citations

12.

Le, Manh‐Hung, Binh Quang Nguyen, Hung T. Pham, et al.. (2022). Assimilation of SMAP Products for Improving Streamflow Simulations over Tropical Climate Region—Is Spatial Information More Important Than Temporal Information?. Remote Sensing. 14(7). 1607–1607. 16 indexed citations

13.

Liu, Pang‐Wei, Rajat Bindlish, Peggy O’Neill, et al.. (2022). Thermal Hydraulic Disaggregation of SMAP Soil Moisture Over the Continental United States. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 4072–4092. 13 indexed citations

14.

Hashemi, Hossein, Jessica V. Fayne, V. Lakshmi, & George J. Huffman. (2020). Very high resolution, altitude-corrected, TMPA-based monthly satellite precipitation product over the CONUS. Scientific Data. 7(1). 74–74. 13 indexed citations

15.

Getirana, Augusto, et al.. (2020). Spatiotemporal vegetation response to extreme droughts in eastern Brazil. Remote Sensing Applications Society and Environment. 18. 100294–100294. 19 indexed citations

16.

Smith, Ryan, et al.. (2020). Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets and Machine Learning. Water Resources Research. 56(11). 62 indexed citations

17.

Mohammed, Ibrahim Nourein, John Bolten, Raghavan Srinivasan, & V. Lakshmi. (2018). Improved Hydrological Decision Support System for the Lower Mekong River Basin Using Satellite-Based Earth Observations. Remote Sensing. 10(6). 885–885. 55 indexed citations

18.

Lakshmi, V., Jessica V. Fayne, & John Bolten. (2018). A comparative study of available water in the major river basins of the world. Journal of Hydrology. 567. 510–532. 77 indexed citations

19.

Senanayake, I.P., In‐Young Yeo, Natthachet Tangdamrongsub, et al.. (2017). Downscaling SMAP and SMOS soil moisture retrievals over the Goulburn River Catchment, Australia. 1 indexed citations

20.

Tootle, Glenn, et al.. (2017). Multi-decadal Decline of Southeast United States Streamflow. AGUFM. 2017. 1 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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