Muhammad Imran Azam

591 total citations
34 papers, 419 citations indexed

About

Muhammad Imran Azam is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Muhammad Imran Azam has authored 34 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Water Science and Technology, 14 papers in Global and Planetary Change and 7 papers in Atmospheric Science. Recurrent topics in Muhammad Imran Azam's work include Hydrology and Watershed Management Studies (10 papers), Climate variability and models (7 papers) and Hydrological Forecasting Using AI (5 papers). Muhammad Imran Azam is often cited by papers focused on Hydrology and Watershed Management Studies (10 papers), Climate variability and models (7 papers) and Hydrological Forecasting Using AI (5 papers). Muhammad Imran Azam collaborates with scholars based in Pakistan, China and Saudi Arabia. Muhammad Imran Azam's co-authors include Muhammad Sibtain, Hassan Bashir, Xianshan Li, Zafar Hussain, Zening Wu, Ghulam Nabi, Fiaz Hussain, Ijaz Ahmad, Muhammad Yaseen and Tanveer Abbas and has published in prestigious journals such as Energy Conversion and Management, Energy and Sustainability.

In The Last Decade

Muhammad Imran Azam

34 papers receiving 410 citations

Peers

Muhammad Imran Azam
Zafar Hussain Pakistan
Jaber Soltani Iran
Md. Jahir Bin Alam Bangladesh
S. Amin Iran
Thushara Gunda United States
Cristian Ștefan Dumitriu Romania
Hamed Kashi Iran
Zulhilmi Ismail Malaysia
Márcio Antônio Vilas Boas Brazil
Zafar Hussain Pakistan
Muhammad Imran Azam
Citations per year, relative to Muhammad Imran Azam Muhammad Imran Azam (= 1×) peers Zafar Hussain

Countries citing papers authored by Muhammad Imran Azam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Imran Azam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Imran Azam

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran Azam. A scholar is included among the top collaborators of Muhammad Imran Azam 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 Imran Azam. Muhammad Imran Azam 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.
Usman, Muhammad, Iftikhar Hussain Shah, Irfan Ali Sabir, et al.. (2024). Synergistic partnerships of endophytic fungi for bioactive compound production and biotic stress management in medicinal plants. Plant Stress. 11. 100425–100425. 13 indexed citations
2.
Sibtain, Muhammad, Xianshan Li, Fei Li, et al.. (2024). Improving Multivariate Runoff Prediction Through Multistage Novel Hybrid Models. Water Resources Management. 38(7). 2545–2564. 2 indexed citations
3.
4.
Ali, Sadaqat, Nousheen Yousaf, Muhammad Usman, et al.. (2024). Volvariella volvacea (paddy straw mushroom): A mushroom with exceptional medicinal and nutritional properties. Heliyon. 10(21). e39747–e39747. 7 indexed citations
5.
You, Zai-Jin, Noman Ali Buttar, M. Naeem, et al.. (2024). Enhancing source identification of water-soluble heavy metal contamination in urban road sediments: a receptor model approach for water and sediment quality in a Chinese metropolitan area. Environmental Research Communications. 6(12). 125003–125003. 1 indexed citations
6.
Hussain, Zafar, Zongmin Wang, Haibo Yang, et al.. (2024). CORDEX Ensemble-based drought projections for Sindh Province of Pakistan under climate change. Journal of Water and Climate Change. 15(11). 5501–5517. 2 indexed citations
7.
Hussain, Fiaz, Muhammad Jehanzeb Masud Cheema, Muhammad Imran Azam, et al.. (2023). Solar Irrigation Potential, Key Issues and Challenges in Pakistan. Water. 15(9). 1727–1727. 18 indexed citations
8.
9.
Tayyab, Muhammad, Jibran Hussain, Sehrish Firyal, et al.. (2023). Relationship between Body Weight and Linear Body Measurements in Pakistani Quail (Coturnix japonica PK). Pakistan Journal of Zoology. 56(3). 2 indexed citations
10.
Azam, Muhammad Imran, et al.. (2022). Assessment of Multi-Satellite Precipitation Products over the Himalayan Mountains of Pakistan, South Asia. Sustainability. 14(14). 8490–8490. 14 indexed citations
11.
Wu, Zening, et al.. (2022). Assessment and source apportionment of water-soluble heavy metals in road dust of Zhengzhou, China. Environmental Science and Pollution Research. 29(45). 68857–68869. 14 indexed citations
12.
Hussain, Fiaz, Gökmen Çeribaşı, Ahmet Iyad Ceyhunlu, et al.. (2022). Analysis of Precipitation Data Using Innovative Trend Pivot Analysis Method and Trend Polygon Star Concept: A Case Study of Soan River Basin, Potohar Pakistan. Journal of Applied Meteorology and Climatology. 61(12). 1861–1880. 18 indexed citations
13.
Hussain, Zafar, Zongmin Wang, Jiaxue Wang, et al.. (2022). A comparative Appraisal of Classical and Holistic Water Scarcity Indicators. Water Resources Management. 36(3). 931–950. 27 indexed citations
14.
Tayyab, Muhammad, et al.. (2022). Monthly Streamflow Forecasting Using Decomposition-Based Hybridization with Two-step Verification Method Over the Mangla Watershed, Pakistan. Iranian Journal of Science and Technology Transactions of Civil Engineering. 47(1). 565–584. 5 indexed citations
15.
Hussain, Fiaz, Ray‐Shyan Wu, Ghulam Nabi, et al.. (2022). Analysis of Temperature Data Using the Innovative Trend Pivot Analysis Method and Trend Polygon Star Concept: A Case Study of Soan River Basin, Potohar, Pakistan. Pure and Applied Geophysics. 180(1). 475–507. 4 indexed citations
16.
Yaseen, Muhammad, Muhammad Waseem, Yasir Latif, et al.. (2020). Statistical Downscaling and Hydrological Modeling-Based Runoff Simulation in Trans-Boundary Mangla Watershed Pakistan. Water. 12(11). 3254–3254. 7 indexed citations
17.
Azam, Muhammad Imran, Jiali Guo, Xiaotao Shi, et al.. (2020). Spatial Climatic Variability and Impact of El Niño–Southern Oscillation on Extreme Precipitation of River Catchment. Environmental Engineering Science. 37(5). 346–364. 5 indexed citations
18.
Yaseen, Muhammad, Ijaz Ahmad, Jiali Guo, Muhammad Imran Azam, & Yasir Latif. (2020). Spatiotemporal Variability in the Hydrometeorological Time-Series over Upper Indus River Basin of Pakistan. Advances in Meteorology. 2020. 1–18. 28 indexed citations
19.
Ali, Rawshan, et al.. (2018). The effects of human activities, climatic conditions and land-use factors on water resources development in huai river basin northeast china. International Journal of Hydrology. 2(2). 5 indexed citations
20.
Abbas, Tanveer, Ghulam Nabi, Muhammad Waseem Boota, et al.. (2016). Uncertainty analysis of runoff and sedimentation in a forested watershed using sequential uncertainty fitting method. Sciences in Cold and Arid Regions. 8(4). 297–310. 10 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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