Muhammad Ali Shamim

511 total citations
19 papers, 423 citations indexed

About

Muhammad Ali Shamim is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Muhammad Ali Shamim has authored 19 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Water Science and Technology, 11 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Muhammad Ali Shamim's work include Hydrology and Watershed Management Studies (11 papers), Hydrological Forecasting Using AI (10 papers) and Flood Risk Assessment and Management (7 papers). Muhammad Ali Shamim is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Hydrological Forecasting Using AI (10 papers) and Flood Risk Assessment and Management (7 papers). Muhammad Ali Shamim collaborates with scholars based in United Kingdom, Pakistan and United States. Muhammad Ali Shamim's co-authors include Dawei Han, Renji Remesan, Jimson Mathew, Michaela Bray, Usman Ghani, Imtiaz Ahmed, Abdul Razzaq Ghumman, Hashim Nisar Hashmi, Azadeh Ahmadi and Imran Mehmood and has published in prestigious journals such as Journal of Hydrology, Hydrological Processes and Environmental Monitoring and Assessment.

In The Last Decade

Muhammad Ali Shamim

18 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammad Ali Shamim United Kingdom 11 266 189 174 100 68 19 423
Yusuf Essam Malaysia 7 184 0.7× 147 0.8× 76 0.4× 94 0.9× 72 1.1× 10 382
Ichiro Kita Japan 8 313 1.2× 226 1.2× 147 0.8× 56 0.6× 108 1.6× 22 505
Baowei Yan China 9 106 0.4× 224 1.2× 256 1.5× 88 0.9× 72 1.1× 22 471
Mehdi Rezaeianzadeh United States 11 334 1.3× 274 1.4× 350 2.0× 45 0.5× 90 1.3× 16 573
Zongjun Wu China 16 158 0.6× 89 0.5× 205 1.2× 99 1.0× 51 0.8× 38 504
Pin-An Chen Taiwan 8 333 1.3× 290 1.5× 236 1.4× 80 0.8× 71 1.0× 9 563
Lucas Borges Ferreira Brazil 9 308 1.2× 237 1.3× 478 2.7× 165 1.6× 53 0.8× 21 709
Birendra Bharti India 5 276 1.0× 225 1.2× 230 1.3× 57 0.6× 59 0.9× 12 446
Aranildo R. Lima Canada 11 287 1.1× 162 0.9× 124 0.7× 138 1.4× 113 1.7× 20 476
Tayeb Boulmaiz Algeria 8 108 0.4× 105 0.6× 178 1.0× 98 1.0× 75 1.1× 17 337

Countries citing papers authored by Muhammad Ali Shamim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
1.
Hashmi, Hashim Nisar, et al.. (2016). Flow Variation in Astore River under Assumed Glaciated Extents Due to Climate Change. 9 indexed citations
2.
Shamim, Muhammad Ali, Renji Remesan, Michaela Bray, & Dawei Han. (2015). An improved technique for global solar radiation estimation using numerical weather prediction. Journal of Atmospheric and Solar-Terrestrial Physics. 129. 13–22. 43 indexed citations
3.
Habib‐ur‐Rehman, et al.. (2015). Ranking sensitive calibrating parameters of UBC Watershed Model. KSCE Journal of Civil Engineering. 19(5). 1538–1547. 5 indexed citations
4.
Shamim, Muhammad Ali, et al.. (2015). Investigation of temporal change in glacial extent of Chitral watershed using Landsat data. Environmental Monitoring and Assessment. 188(1). 43–43. 4 indexed citations
5.
Shamim, Muhammad Ali, et al.. (2015). Development of sediment load estimation models by using artificial neural networking techniques. Environmental Monitoring and Assessment. 187(11). 686–686. 26 indexed citations
6.
Shamim, Muhammad Ali, et al.. (2015). A comparison of Artificial Neural Networks (ANN) and Local Linear Regression (LLR) techniques for predicting monthly reservoir levels. KSCE Journal of Civil Engineering. 20(2). 971–977. 48 indexed citations
7.
Mandal, Vinay Prasad, et al.. (2014). APPRAISAL OF SUITABILITY FOR URBAN PLANNING AND EXPANSION ANALYSIS USING QUICK BIRD SATELLITE DATA. ARPN Journal of Engineering and Applied Sciences. 9(12). 2716–2723. 1 indexed citations
8.
Shamim, Muhammad Ali, Hashim Nisar Hashmi, Imtiaz Ahmed, et al.. (2014). Predicting streamflows to a multipurpose reservoir using artificial neural networks and regression techniques. Earth Science Informatics. 8(2). 337–352. 18 indexed citations
9.
Shamim, Muhammad Ali, Michaela Bray, Renji Remesan, & Dawei Han. (2014). A hybrid modelling approach for assessing solar radiation. Theoretical and Applied Climatology. 122(3-4). 403–420. 16 indexed citations
10.
Shamim, Muhammad Ali, et al.. (2012). An improved technique for global daily sunshine duration estimation using satellite imagery. Journal of Zhejiang University. Science A. 13(9). 717–722. 16 indexed citations
11.
Remesan, Renji, Azadeh Ahmadi, Muhammad Ali Shamim, & Dawei Han. (2010). Effect of data time interval on real-time flood forecasting. Journal of Hydroinformatics. 12(4). 396–407. 18 indexed citations
12.
Shamim, Muhammad Ali, Renji Remesan, Dawei Han, & Abdul Razzaq Ghumman. (2010). Solar radiation estimation in ungauged catchments. Proceedings of the Institution of Civil Engineers - Water Management. 163(7). 349–359. 5 indexed citations
13.
Remesan, Renji, Michaela Bray, Muhammad Ali Shamim, & Dawei Han. (2009). Rainfall-runoff modelling using a wavelet-based hybrid SVM scheme.. ORCA Online Research @Cardiff. 41–50. 8 indexed citations
14.
Remesan, Renji, Muhammad Ali Shamim, Dawei Han, & Jimson Mathew. (2009). Runoff prediction using an integrated hybrid modelling scheme. Journal of Hydrology. 372(1-4). 48–60. 91 indexed citations
15.
Remesan, Renji, Muhammad Ali Shamim, Dawei Han, & Jimson Mathew. (2008). ANFIS and NNARX based rainfall-runoff modeling. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics. 1454–1459. 23 indexed citations
16.
Remesan, Renji, Muhammad Ali Shamim, & Dawei Han. (2008). Model data selection using gamma test for daily solar radiation estimation. Hydrological Processes. 22(21). 4301–4309. 78 indexed citations
17.
Ghumman, Abdul Razzaq, Muhammad Masood Ahmad, & Muhammad Ali Shamim. (2006). Flood Estimation by Various Techniques for Small and Large Catchments. 1–13.
18.
Shamim, Muhammad Ali & Usman Ghani. (2004). Forecasting Groundwater Contamination Using Artificial Neural Networks. 11 indexed citations
19.
Ghumman, Abdul Razzaq, Usman Ghani, & Muhammad Ali Shamim. (2004). Flood Forecasting Using Neural Networks. 9–15. 3 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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