Deep Shah

794 total citations
10 papers, 490 citations indexed

About

Deep Shah is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Deep Shah has authored 10 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 5 papers in Water Science and Technology and 4 papers in Ocean Engineering. Recurrent topics in Deep Shah's work include Hydrology and Watershed Management Studies (5 papers), Hydrology and Drought Analysis (5 papers) and Flood Risk Assessment and Management (4 papers). Deep Shah is often cited by papers focused on Hydrology and Watershed Management Studies (5 papers), Hydrology and Drought Analysis (5 papers) and Flood Risk Assessment and Management (4 papers). Deep Shah collaborates with scholars based in India, United States and China. Deep Shah's co-authors include Vimal Mishra, Saran Aadhar, Harsh L. Shah, Huilin Gao, Gang Zhao, Yao Li, Vijay P. Singh, Shuai Zhang, Maosheng Zhao and Sadashiva Devadiga and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Deep Shah

9 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deep Shah India	9	413	216	69	68	37	10	490
Fazlullah Akhtar Germany	10	142 0.3×	112 0.5×	33 0.5×	52 0.8×	45 1.2×	17	306
Hexin Lai China	9	261 0.6×	122 0.6×	57 0.8×	39 0.6×	32 0.9×	23	311
Madeleine Pascolini‐Campbell United States	10	249 0.6×	61 0.3×	26 0.4×	47 0.7×	106 2.9×	22	335
Robert Dessouassi France	5	218 0.5×	189 0.9×	21 0.3×	24 0.4×	21 0.6×	5	300
Latha Sridhar India	4	472 1.1×	100 0.5×	89 1.3×	69 1.0×	257 6.9×	6	517
Hejiang Cai China	9	218 0.5×	145 0.7×	33 0.5×	12 0.2×	45 1.2×	12	326
Thomas Lafon United Kingdom	5	381 0.9×	187 0.9×	42 0.6×	14 0.2×	229 6.2×	6	458
Linyong Wei China	15	443 1.1×	161 0.7×	25 0.4×	53 0.8×	329 8.9×	22	607
Subimal Ghosh India	10	477 1.2×	114 0.5×	30 0.4×	58 0.9×	283 7.6×	23	557
Han Huang Canada	7	248 0.6×	31 0.1×	38 0.6×	31 0.5×	175 4.7×	19	376

Countries citing papers authored by Deep Shah

Since Specialization

Citations

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

Fields of papers citing papers by Deep Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deep Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Deep Shah. A scholar is included among the top collaborators of Deep Shah 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 Deep Shah. Deep Shah 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:

10 of 10 papers shown

1.

Shah, Deep & Huilin Gao. (2025). Global patterns of reservoir fullness and fluctuations during droughts. Environmental Research Letters. 20(12). 124060–124060.

2.

Shah, Deep, Shuai Zhang, Sudipta Sarkar, et al.. (2024). Transitioning from MODIS to VIIRS Global Water Reservoir Product. Scientific Data. 11(1). 209–209. 9 indexed citations

3.

Shah, Deep, Gang Zhao, Yao Li, Vijay P. Singh, & Huilin Gao. (2024). Assessing Global Reservoir‐Based Hydrological Droughts by Fusing Storage and Evaporation. Geophysical Research Letters. 51(1). 21 indexed citations

4.

Li, Yao, Gang Zhao, Deep Shah, et al.. (2021). NASA’s MODIS/VIIRS Global Water Reservoir Product Suite from Moderate Resolution Remote Sensing Data. Remote Sensing. 13(4). 565–565. 22 indexed citations

5.

Shah, Deep, et al.. (2021). Contrasting influence of human activities on agricultural and hydrological droughts in India. The Science of The Total Environment. 774. 144959–144959. 54 indexed citations

6.

Shah, Deep & Vimal Mishra. (2020). Drought Onset and Termination in India. Journal of Geophysical Research Atmospheres. 125(15). 56 indexed citations

7.

Shah, Deep, et al.. (2020). Propagation of Meteorological to Hydrological Droughts in India. Journal of Geophysical Research Atmospheres. 125(22). 125 indexed citations

8.

Shah, Deep & Vimal Mishra. (2020). Strong Influence of Changes in Terrestrial Water Storage on Flood Potential in India. Journal of Geophysical Research Atmospheres. 126(1). 27 indexed citations

9.

Shah, Deep & Vimal Mishra. (2019). Integrated Drought Index (IDI) for Drought Monitoring and Assessment in India. Water Resources Research. 56(2). 147 indexed citations

10.

Shah, Deep, et al.. (2019). On the Changes in Groundwater Storage Variability in Western India Using GRACE and Well Observations. Remote Sensing in Earth Systems Sciences. 2(4). 260–272. 29 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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