Muhammad Waqas
- Global and Planetary Change top 10%
- Environmental Engineering top 10%
- Atmospheric Science top 10%
- Water Science and Technology top 10%
- Electrical and Electronic Engineering
- Co-authors
- Usa Wannasingha HumphriesPhyo Thandar HlaingAngkool WangwongchaiShakeel AhmadMuhammad ShoaibSarfraz HashimRabeea NoorRahat Zarin
- Topics
- Hydrological Forecasting Using AI (14 papers)Meteorological Phenomena and Simulations (9 papers)Climate variability and models (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaWaterTechnology in Society
In The Last Decade
Muhammad Waqas
28 papers receiving 463 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Global and Planetary Change 154
- Environmental Engineering 146
- Atmospheric Science 114
- Water Science and Technology 102
- Electrical and Electronic Engineering 54
Countries citing papers authored by Muhammad Waqas
This map shows the geographic impact of Muhammad Waqas'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 Waqas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Waqas more than expected).
Fields of papers citing papers by Muhammad Waqas
This network shows the impact of papers produced by Muhammad Waqas. 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 Waqas. The network helps show where Muhammad Waqas may publish in the future.
Co-authorship network of co-authors of Muhammad Waqas
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Waqas. A scholar is included among the top collaborators of Muhammad Waqas 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 Waqas. Muhammad Waqas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | A critical review of RNN and LSTM variants in hydrological time series predictionsbreakdown → | 103 |
| 15 | 8 | |
| 16 | 23 | |
| 17 | 26 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 45 |
About Muhammad Waqas
Muhammad Waqas is a scholar working on Environmental Engineering, Global and Planetary Change and Atmospheric Science, having authored 34 papers that have together received 490 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (14 papers), Meteorological Phenomena and Simulations (9 papers) and Climate variability and models (9 papers). The work is most often cited by research in Environmental Engineering (146 citations), Water Science and Technology (102 citations) and Global and Planetary Change (154 citations). Muhammad Waqas has collaborated with scholars based in Thailand, Pakistan and China. Frequent co-authors include Usa Wannasingha Humphries, Phyo Thandar Hlaing, Angkool Wangwongchai, Shakeel Ahmad, Muhammad Shoaib, Sarfraz Hashim, Rabeea Noor, Rahat Zarin, Muhammad Saifullah and Alamgir Akhtar Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Water and Technology in Society.
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.