Muhammad Ali Shamim
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Dawei HanRenji RemesanJimson MathewMichaela BrayUsman GhaniAbdul Razzaq GhummanHashim Nisar HashmiImtiaz Ahmed
- Topics
- Hydrology and Watershed Management Studies (11 papers)Hydrological Forecasting Using AI (10 papers)Flood Risk Assessment and Management (7 papers)
- Partner nations
- United KingdomPakistanUnited States
In The Last Decade
Muhammad Ali Shamim
18 papers receiving 411 citations
Peers
Comparison fields: 5 of 58
- Environmental Engineering 266
- Water Science and Technology 189
- Global and Planetary Change 174
- Artificial Intelligence 100
- Electrical and Electronic Engineering 68
Countries citing papers authored by Muhammad Ali Shamim
This map shows the geographic impact of Muhammad Ali Shamim'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 Ali Shamim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Ali Shamim more than expected).
Fields of papers citing papers by Muhammad Ali Shamim
This network shows the impact of papers produced by Muhammad Ali Shamim. 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 Ali Shamim. The network helps show where Muhammad Ali Shamim may publish in the future.
Co-authorship network of co-authors of Muhammad Ali Shamim
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ali Shamim. A scholar is included among the top collaborators of Muhammad Ali Shamim 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 Ali Shamim. Muhammad Ali Shamim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Flow Variation in Astore River under Assumed Glaciated Extents Due to Climate Change | 9 |
| 2 | 4 | |
| 3 | 26 | |
| 4 | 5 | |
| 5 | 43 | |
| 6 | 48 | |
| 7 | APPRAISAL OF SUITABILITY FOR URBAN PLANNING AND EXPANSION ANALYSIS USING QUICK BIRD SATELLITE DATA | 1 |
| 8 | 18 | |
| 9 | 16 | |
| 10 | 16 | |
| 11 | 18 | |
| 12 | 5 | |
| 13 | Rainfall-runoff modelling using a wavelet-based hybrid SVM scheme. | 8 |
| 14 | 91 | |
| 15 | 23 | |
| 16 | 78 | |
| 17 | 0 | |
| 18 | Forecasting Groundwater Contamination Using Artificial Neural Networks | 11 |
| 19 | 3 |
About Muhammad Ali Shamim
Muhammad Ali Shamim is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 19 papers that have together received 423 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (11 papers), Hydrological Forecasting Using AI (10 papers) and Flood Risk Assessment and Management (7 papers). The work is most often cited by research in Environmental Engineering (266 citations), Water Science and Technology (189 citations) and Global and Planetary Change (174 citations). Muhammad Ali Shamim has collaborated with scholars based in United Kingdom, Pakistan and United States. Frequent co-authors include Dawei Han, Renji Remesan, Jimson Mathew, Michaela Bray, Usman Ghani, Abdul Razzaq Ghumman, Hashim Nisar Hashmi, Imtiaz Ahmed, Azadeh Ahmadi and Imran Mehmood. Their work appears in journals such as Journal of Hydrology, Hydrological Processes and Environmental Monitoring and Assessment.
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.