Muhammad Shafeeque
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Water Quality and Pollution Assessment
- Pollution top 5%
- Heavy metals in environment
Papers in
-
- Climate variability and models 9
- Plant Water Relations and Carbon Dynamics 7
- Flood Risk Assessment and Management 4
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- Hydrology and Watershed Management Studies 14
- Co-authors
- Yi Luo (8 shared papers)Atta Rasool (5 shared papers)Abida Farooqi (2 shared papers)Tangfu Xiao (2 shared papers)Lin Sun (5 shared papers)Arfan Arshad (10 shared papers)Yi Luo (4 shared papers)Wajid Nasim (3 shared papers)
In The Last Decade
Muhammad Shafeeque
41 papers receiving 796 citations
Muhammad Shafeeque's Hit Papers
Peers
Comparison fields: 5 of 72
- Water Science and Technology 290
- Pollution 168
- Geochemistry and Petrology 85
- Global and Planetary Change 253
- Environmental Engineering 138
Countries citing papers authored by Muhammad Shafeeque
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
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-authors
The 25 scholars most cited alongside Muhammad Shafeeque, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 112 | |
| 2 | Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS) Hit paper breakdown → | 2023 | 88 |
| 3 | 2016 | 68 | |
| 4 | 2019 | 45 | |
| 5 | 2021 | 44 | |
| 6 | 2022 | 42 | |
| 7 | 2021 | 39 | |
| 8 | 2019 | 30 | |
| 9 | 2019 | 28 | |
| 10 | 2021 | 25 | |
| 11 | 2019 | 23 | |
| 12 | 2021 | 20 | |
| 13 | 2023 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2023 | 17 | |
| 16 | 2023 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2019 | 12 |
About Muhammad Shafeeque
Muhammad Shafeeque is a scholar working on Global and Planetary Change, Water Science and Technology, Atmospheric Science, Pollution and Health, Toxicology and Mutagenesis, having authored 44 papers that have together received 805 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (14 papers), Cryospheric studies and observations (10 papers), Climate variability and models (9 papers), Plant Water Relations and Carbon Dynamics (7 papers), Precipitation Measurement and Analysis (6 papers), Heavy metals in environment (6 papers), Climate change and permafrost (6 papers) and Flood Risk Assessment and Management (4 papers). The work is most often cited by research in Water Science and Technology (290 citations), Pollution (168 citations), Geochemistry and Petrology (85 citations), Global and Planetary Change (253 citations) and Environmental Engineering (138 citations). Muhammad Shafeeque has collaborated with scholars based in China, Pakistan and Germany. Frequent co-authors include Yi Luo, Atta Rasool, Abida Farooqi, Tangfu Xiao, Lin Sun, Arfan Arshad, Yi Luo, Wajid Nasim, Yaqin Wang and Shah Fahad. Their work appears in journals such as Remote Sensing, Journal of Hydrology, The Science of The Total Environment, Geomatics Natural Hazards and Risk and Journal of Hydrology Regional Studies.
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.