Muhammad Sibtain
- Electrical and Electronic Engineering
- Environmental Engineering top 10%
- Water Science and Technology top 10%
- Artificial Intelligence
- Global and Planetary Change
- Co-authors
- Xianshan LiMuhammad Imran AzamHassan BashirHalit ApaydınWenwu LiMohsin NawazTanveer AbbasGhulam Nabi
- Topics
- Energy Load and Power Forecasting (10 papers)Hydrological Forecasting Using AI (8 papers)Hydrology and Watershed Management Studies (8 papers)
- Cited by
- Environmental EngineeringWater Science and TechnologyEnergy Engineering and Power Technology
- Journals
- SHILAP Revista de lepidopterologíaJournal of HydrologyEnergy Conversion and Management
In The Last Decade
Muhammad Sibtain
20 papers receiving 312 citations
Peers
Comparison fields: 5 of 55
- Electrical and Electronic Engineering 171
- Environmental Engineering 129
- Water Science and Technology 97
- Artificial Intelligence 77
- Global and Planetary Change 66
Countries citing papers authored by Muhammad Sibtain
This map shows the geographic impact of Muhammad Sibtain'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 Sibtain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Sibtain more than expected).
Fields of papers citing papers by Muhammad Sibtain
This network shows the impact of papers produced by Muhammad Sibtain. 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 Sibtain. The network helps show where Muhammad Sibtain may publish in the future.
Co-authorship network of co-authors of Muhammad Sibtain
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Sibtain. A scholar is included among the top collaborators of Muhammad Sibtain 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 Sibtain. Muhammad Sibtain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 15 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | 2 | |
| 11 | 31 | |
| 12 | 12 | |
| 13 | 41 | |
| 14 | 56 | |
| 15 | 24 | |
| 16 | 20 | |
| 17 | 20 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Analytical Studies on the Quality and Environmental Impact of Commercial Motor Gasoline Available in Multan Region of Pakistan | 5 |
About Muhammad Sibtain
Muhammad Sibtain is a scholar working on Environmental Engineering, Water Science and Technology and Electrical and Electronic Engineering, having authored 21 papers that have together received 323 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Hydrological Forecasting Using AI (8 papers) and Hydrology and Watershed Management Studies (8 papers). The work is most often cited by research in Environmental Engineering (129 citations), Water Science and Technology (97 citations) and Energy Engineering and Power Technology (15 citations). Muhammad Sibtain has collaborated with scholars based in China, Pakistan and Türkiye. Frequent co-authors include Xianshan Li, Muhammad Imran Azam, Hassan Bashir, Halit Apaydın, Wenwu Li, Mohsin Nawaz, Tanveer Abbas, Ghulam Nabi, Qurat‐ul‐Ain and Hajar Feizi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Energy Conversion and Management.
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.