Shoaib Ali

861 total citations
28 papers, 627 citations indexed

About

Shoaib Ali is a scholar working on Oceanography, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Shoaib Ali has authored 28 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oceanography, 12 papers in Global and Planetary Change and 6 papers in Water Science and Technology. Recurrent topics in Shoaib Ali's work include Geophysics and Gravity Measurements (12 papers), Flood Risk Assessment and Management (8 papers) and Climate variability and models (6 papers). Shoaib Ali is often cited by papers focused on Geophysics and Gravity Measurements (12 papers), Flood Risk Assessment and Management (8 papers) and Climate variability and models (6 papers). Shoaib Ali collaborates with scholars based in China, Pakistan and Türkiye. Shoaib Ali's co-authors include Behnam Khorrami, Mo Li, Qiang Fu, Tianxiao Li, Muhammad Abrar Faiz, Dong Liu, Muhammad Imran Khan, Orhan Gündüz, Heng Li and Liangliang Zhang and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Shoaib Ali

24 papers receiving 606 citations

Peers

Shoaib Ali
Mohamed Barakat A. Gibril United Arab Emirates
Robert Griffin United States
Lori A. Schultz United States
Mohammad Farid Indonesia
Ismail Elkhrachy Saudi Arabia
Shoaib Ali
Citations per year, relative to Shoaib Ali Shoaib Ali (= 1×) peers Theano Iliopoulou

Countries citing papers authored by Shoaib Ali

Since Specialization
Citations

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

Fields of papers citing papers by Shoaib Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoaib Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Shoaib Ali. A scholar is included among the top collaborators of Shoaib Ali 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 Shoaib Ali. Shoaib Ali 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
2.
Ali, Shoaib, Behnam Khorrami, Mohammad Mansoob Khan, et al.. (2025). Bridging the resolution gap: Machine learning for local-scale groundwater drought monitoring in Punjab, Pakistan. Groundwater for Sustainable Development. 31. 101545–101545.
3.
Ali, Shoaib, et al.. (2024). Quantifying groundwater depletion in Arabian Peninsula transboundary aquifer systems: Understanding natural and anthropogenic drivers. Groundwater for Sustainable Development. 26. 101293–101293. 3 indexed citations
4.
Ali, Shoaib, Jiangjun Ran, Behnam Khorrami, et al.. (2024). Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning. Groundwater for Sustainable Development. 25. 101100–101100. 21 indexed citations
5.
You, Zai-Jin, et al.. (2024). Exploring urban runoff complexity: road-deposited sediment wash-off mechanisms and dynamics of constraints. Journal of Hydroinformatics. 26(6). 1396–1408. 1 indexed citations
6.
Khorrami, Behnam, et al.. (2023). Model‐coupled GRACE‐based analysis of hydrological dynamics of drying Lake Urmia and its basin. Hydrological Processes. 37(5). 31 indexed citations
7.
Khorrami, Behnam, Shoaib Ali, & Orhan Gündüz. (2023). An appraisal of the local‐scale spatio‐temporal variations of drought based on the integrated GRACE/GRACE‐FO observations and fine‐resolution FLDAS model. Hydrological Processes. 37(11). 13 indexed citations
8.
Khorrami, Behnam, et al.. (2023). Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential. Journal of Hydrology. 624. 129929–129929. 32 indexed citations
9.
Ali, Shoaib, et al.. (2023). The GWR model-based regional downscaling of GRACE/GRACE-FO derived groundwater storage to investigate local-scale variations in the North China Plain. The Science of The Total Environment. 908. 168239–168239. 41 indexed citations
10.
Khorrami, Behnam, et al.. (2022). Spatio-temporal variations in characteristics of terrestrial water storage and associated drought over different geographic regions of Türkiye. Earth Science Informatics. 16(1). 717–731. 23 indexed citations
11.
Xu, Dan, Dong Liu, Qiang Fu, et al.. (2022). Measurement and analysis of the resilience characteristics for a regional agricultural soil-water resource composite system. Journal of Environmental Management. 318. 115622–115622. 8 indexed citations
12.
Liu, Dong, Chunqing Wang, Yi Ji, et al.. (2021). Measurement and analysis of regional flood disaster resilience based on a support vector regression model refined by the selfish herd optimizer with elite opposition-based learning. Journal of Environmental Management. 300. 113764–113764. 23 indexed citations
13.
Li, Heng, Dong Liu, Qiang Fu, et al.. (2021). Application of an improved multifractal detrended fluctuation analysis approach for estimation of the complexity of daily precipitation. International Journal of Climatology. 41(9). 4653–4671. 12 indexed citations
14.
Li, Xuesong, Dong Liu, Qiang Fu, et al.. (2021). Measurement and analysis of regional agricultural water and soil resource composite system harmony with an improved random forest model based on a dragonfly algorithm. Journal of Cleaner Production. 305. 127217–127217. 21 indexed citations
15.
Li, Xuesong, Heng Li, Qiang Fu, et al.. (2020). Connotation analysis and evaluation index system construction of regional agricultural soil and water resource composite system harmony. Journal of Cleaner Production. 263. 121438–121438. 19 indexed citations
16.
Liu, Dong, Yi Ji, Qiang Fu, et al.. (2020). Novel method for measuring regional precipitation complexity characteristics based on multiscale permutation entropy combined with CMFO-PPTTE model. Journal of Hydrology. 592. 125801–125801. 5 indexed citations
17.
Liu, Dong, Guodong Zhang, Heng Li, et al.. (2019). Projection pursuit evaluation model of a regional surface water environment based on an Ameliorative Moth-Flame Optimization algorithm. Ecological Indicators. 107. 105674–105674. 33 indexed citations
18.
Liu, Dong, Lihui Zhou, Heng Li, et al.. (2019). Optimization of irrigation water use efficiency evaluation indicators based on DPSIR-ISD model. Water Science & Technology Water Supply. 20(1). 83–94. 19 indexed citations
19.
Liu, Dong, Qiang Fu, Mo Li, et al.. (2019). Random forest regression evaluation model of regional flood disaster resilience based on the whale optimization algorithm. Journal of Cleaner Production. 250. 119468–119468. 119 indexed citations
20.
Ali, Shoaib, et al.. (2016). Using extreme values and fractional raw moments for mean estimation in stratified random sampling. Hacettepe Journal of Mathematics and Statistics. 46(130). 1–1.

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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