Muhammad Shafeeque

1.0k total citations · 1 hit paper
43 papers, 728 citations indexed

About

Muhammad Shafeeque is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Muhammad Shafeeque has authored 43 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 17 papers in Water Science and Technology and 15 papers in Atmospheric Science. Recurrent topics in Muhammad Shafeeque's work include Hydrology and Watershed Management Studies (14 papers), Cryospheric studies and observations (10 papers) and Climate variability and models (9 papers). Muhammad Shafeeque is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Cryospheric studies and observations (10 papers) and Climate variability and models (9 papers). Muhammad Shafeeque collaborates with scholars based in China, Pakistan and Germany. Muhammad Shafeeque's co-authors include Yi Luo, Atta Rasool, Lin Sun, Tangfu Xiao, Abida Farooqi, Yi Luo, Arfan Arshad, Xiaolei Wang, Yaqin Wang and Shah Fahad and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Sustainability.

In The Last Decade

Muhammad Shafeeque

40 papers receiving 714 citations

Hit Papers

Spatial Downscaling of GRACE Data Based on XGBoost Model ... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Shafeeque China 15 284 238 156 153 131 43 728
R. M. Webb United States 13 385 1.4× 187 0.8× 205 1.3× 188 1.2× 173 1.3× 23 854
Gregory T. Carling United States 18 121 0.4× 119 0.5× 198 1.3× 165 1.1× 92 0.7× 51 716
Brijendra Pateriya India 16 302 1.1× 329 1.4× 93 0.6× 204 1.3× 280 2.1× 51 886
A Yinglan China 18 514 1.8× 402 1.7× 143 0.9× 88 0.6× 307 2.3× 59 1.0k
J. K. Garg India 13 246 0.9× 262 1.1× 51 0.3× 173 1.1× 124 0.9× 42 708
H. M. Touhidul Islam Bangladesh 17 300 1.1× 444 1.9× 179 1.1× 211 1.4× 149 1.1× 26 913
Guanxing Wang China 17 412 1.5× 105 0.4× 246 1.6× 154 1.0× 201 1.5× 32 875
Ramesh Kumar India 16 215 0.8× 334 1.4× 402 2.6× 117 0.8× 137 1.0× 53 883
Razyeh Lak Iran 15 186 0.7× 98 0.4× 119 0.8× 205 1.3× 171 1.3× 58 759
C. Lakshumanan India 19 240 0.8× 236 1.0× 131 0.8× 194 1.3× 220 1.7× 59 876

Countries citing papers authored by Muhammad Shafeeque

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shafeeque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shafeeque

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Shafeeque. A scholar is included among the top collaborators of Muhammad Shafeeque 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 Muhammad Shafeeque. Muhammad Shafeeque 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.
Arshad, Arfan, Muhammad Shafeeque, Thanh‐Nhan Tran, et al.. (2025). Multi-model ensemble machine learning-based downscaling and projection of GRACE data reveals groundwater decline in Saudi Arabia throughout the 21st century. Journal of Hydrology Regional Studies. 60. 102552–102552. 1 indexed citations
2.
Ali, Waqar, et al.. (2025). Contamination and risk assessment of Thallium in the alluvial paddy rice soil system of Pakistan. Environmental Research. 285(Pt 2). 122388–122388.
3.
Naveed, Muhammad, et al.. (2023). Investigating the impact of climate change on trend shifts of vegetation growth in Gilgit Baltistan. Global and Planetary Change. 232. 104341–104341. 14 indexed citations
4.
Shafeeque, Muhammad, Mohsin Hafeez, Abid Sarwar, et al.. (2023). Quantifying future water-saving potential under climate change and groundwater recharge scenarios in Lower Chenab Canal, Indus River Basin. Theoretical and Applied Climatology. 155(1). 187–204. 13 indexed citations
5.
Ali, Shoaib, Behnam Khorrami, Muhammad Jehanzaib, et al.. (2023). Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS). Remote Sensing. 15(4). 873–873. 74 indexed citations breakdown →
6.
Noor, Rabeea, Arfan Arshad, Muhammad Shafeeque, et al.. (2023). Combining APHRODITE Rain Gauges-Based Precipitation with Downscaled-TRMM Data to Translate High-Resolution Precipitation Estimates in the Indus Basin. Remote Sensing. 15(2). 318–318. 17 indexed citations
7.
Dilawar, Adil, Baozhang Chen, Zia ul Haq, et al.. (2023). Investigating the Potential Climatic Effects of Atmospheric Pollution across China under the National Clean Air Action Plan. Remote Sensing. 15(8). 2084–2084. 4 indexed citations
10.
Ali, Waqar, Kang Mao, Muhammad Shafeeque, Muhammad Wajahat Aslam, & Wei Li. (2023). Effects of selenium on biogeochemical cycles of cadmium in rice from flooded paddy soil systems in the alluvial Indus Valley of Pakistan. The Science of The Total Environment. 912. 168896–168896. 2 indexed citations
11.
Ashraf, Muhammad, Shanawar Hamid, Yasir Niaz, et al.. (2022). Prediction of Sediment Yield in a Data-Scarce River Catchment at the Sub-Basin Scale Using Gridded Precipitation Datasets. Water. 14(9). 1480–1480. 9 indexed citations
12.
Naveed, Muhammad, et al.. (2022). Effects of climate change on vegetation and snow cover area in Gilgit Baltistan using MODIS data. Environmental Science and Pollution Research. 30(7). 19149–19166. 16 indexed citations
13.
Shafeeque, Muhammad, et al.. (2021). Investigating effects of deficit irrigation levels and fertilizer rates on water use efficiency and productivity based on field observations and modeling approaches. International Journal of Hydrology. 5(5). 252–263. 3 indexed citations
14.
Dilawar, Adil, Baozhang Chen, Lifeng Guo, et al.. (2021). Evaluation the WRF Model with Different Land Surface Schemes: Heat Wave Event Simulations and Its Relation to Pacific Variability over Coastal Region, Karachi, Pakistan. Sustainability. 13(22). 12608–12608. 3 indexed citations
15.
Khan, Aftab Ahmad, et al.. (2020). Changes in Selected Elements of Soils Under Simulated Acid Rain Conditions. Biointerface Research in Applied Chemistry. 11(4). 11737–11746. 1 indexed citations
17.
Rasool, Atta, Salar Ali, Waqar Ali, et al.. (2020). Microbial Diversity and Community Structure in Alpine Stream Soil. Geomicrobiology Journal. 38(3). 210–219. 2 indexed citations
18.
Wang, Yaqin, Yi Luo, & Muhammad Shafeeque. (2019). Interpretation of vegetation phenology changes using daytime and night-time temperatures across the Yellow River Basin, China. The Science of The Total Environment. 693. 133553–133553. 45 indexed citations
19.
Murtaza, Ghulam, et al.. (2019). Assessment of trace elements in urban topsoils of Rawalpindi-Pakistan: a principal component analysis approach. Environmental Monitoring and Assessment. 191(2). 65–65. 27 indexed citations
20.
Rasool, Atta, Tangfu Xiao, Abida Farooqi, et al.. (2016). Quality of tube well water intended for irrigation and human consumption with special emphasis on arsenic contamination at the area of Punjab, Pakistan. Environmental Geochemistry and Health. 39(4). 847–863. 61 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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