Mustafa Al-Mukhtar

1.1k total citations
30 papers, 559 citations indexed

About

Mustafa Al-Mukhtar is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Mustafa Al-Mukhtar has authored 30 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 15 papers in Environmental Engineering and 12 papers in Global and Planetary Change. Recurrent topics in Mustafa Al-Mukhtar's work include Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (13 papers) and Hydrology and Drought Analysis (6 papers). Mustafa Al-Mukhtar is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (13 papers) and Hydrology and Drought Analysis (6 papers). Mustafa Al-Mukhtar collaborates with scholars based in Iraq, Egypt and Germany. Mustafa Al-Mukhtar's co-authors include Broder J. Merkel, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Khaled Mohamed Khedher, Ali Omran Al‐Sulttani, Aitazaz A. Farooque, Ali B. Roomi, Ahmed Elbeltagi, Nand Lal Kushwaha, Dinesh Kumar Vishwakarma and Nadhir Al‐Ansari and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.

In The Last Decade

Mustafa Al-Mukhtar

29 papers receiving 547 citations

Peers

Mustafa Al-Mukhtar

WST

GPC

Ngoc Duong Vo Vietnam

Afshin Ashrafzadeh Iran

Bilel Zeroualı Algeria

Mosaad Khadr Egypt

Pham Thi Thao Nhi Vietnam

N. Sajikumar India

Jitendra Rajput India

Katayoun Kargar Iran

Murat Ay Türkiye

Jian Sha China

Ngoc Duong Vo Vietnam

Mustafa Al-Mukhtar

256 ×0.8

WST

202 ×0.8

291 ×1.3

GPC

62 ×0.8

45 ×0.9

Citations per year, relative to Mustafa Al-Mukhtar Mustafa Al-Mukhtar (= 1×) peers Ngoc Duong Vo

Countries citing papers authored by Mustafa Al-Mukhtar

Since Specialization

Citations

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

Fields of papers citing papers by Mustafa Al-Mukhtar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mustafa Al-Mukhtar. 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 Mustafa Al-Mukhtar. The network helps show where Mustafa Al-Mukhtar may publish in the future.

Co-authorship network of co-authors of Mustafa Al-Mukhtar

This figure shows the co-authorship network connecting the top 25 collaborators of Mustafa Al-Mukhtar. A scholar is included among the top collaborators of Mustafa Al-Mukhtar 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 Mustafa Al-Mukhtar. Mustafa Al-Mukhtar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Elbeltagi, Ahmed, et al.. (2025). Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins. Applied Water Science. 15(8). 1 indexed citations

Elbeltagi, Ahmed, et al.. (2024). Advanced long-term actual evapotranspiration estimation in humid climates for 1958–2021 based on machine learning models enhanced by the RReliefF algorithm. Journal of Hydrology Regional Studies. 56. 102043–102043. 11 indexed citations

Khayyun, Thair Sharif, et al.. (2024). Optimization of Dualistic Reservoir System Two-Dimensional Rule Curve with Three Allocation Rules. Civil Engineering Journal. 10(2). 404–418. 4 indexed citations

Al-Mukhtar, Mustafa, et al.. (2024). Analyzing the Future Climate Change Impacts on Meteorological Parameters Using the LARS-WG Model. Civil Engineering Journal. 10(11). 3754–3778. 7 indexed citations

Khayyun, Thair Sharif, et al.. (2024). Drought forecasting model for future climate change effects in a regional catchment area in northern iraq. SHILAP Revista de lepidopterología. 0(0). 1–15. 2 indexed citations

Al-Mukhtar, Mustafa, et al.. (2024). Prediction of Water Quality Parameters of Tigris River in Baghdad City by Using Artificial Intelligence Methods. Ecological Engineering & Environmental Technology. 25(9). 13–25.

Al-Mukhtar, Mustafa, et al.. (2024). Investigating the Hydraulic Behaviours of an Alluvial Meandering River Reach Between Two Barrages. Civil Engineering Journal. 10(5). 1561–1576. 1 indexed citations

Othman, Arsalan Ahmed, et al.. (2023). Proposing Optimal Locations for Runoff Harvesting and Water Management Structures in the Hami Qeshan Watershed, Iraq. ISPRS International Journal of Geo-Information. 12(8). 312–312. 7 indexed citations

Zubaidi, Salah L., Mustafa Al-Mukhtar, Anmar Dulaimi, et al.. (2023). Assessing the Potential of Hybrid-Based Metaheuristic Algorithms Integrated with ANNs for Accurate Reference Evapotranspiration Forecasting. Sustainability. 15(19). 14320–14320. 4 indexed citations

10.

Al-Mukhtar, Mustafa, et al.. (2023). Derivation of Optimal Two Dimensional Rule Curve for Dualistic Reservoir Water-Supply System. Civil Engineering Journal. 9(7). 1779–1794. 8 indexed citations

11.

Al-Mukhtar, Mustafa, et al.. (2023). Monitoring and Modelling Morphological Changes in Rivers Using RS and GIS Techniques. Civil Engineering Journal. 9(3). 531–543. 17 indexed citations

12.

Al-Mukhtar, Mustafa, et al.. (2023). Assessing CFSR climate data for rainfall-runoff modeling over an ungauged basin between Iraq and Iran. Kuwait Journal of Science. 50(3). 405–414. 7 indexed citations

13.

Elbeltagi, Ahmed, Mustafa Al-Mukhtar, Nand Lal Kushwaha, Nadhir Al‐Ansari, & Dinesh Kumar Vishwakarma. (2022). Forecasting monthly pan evaporation using hybrid additive regression and data-driven models in a semi-arid environment. Applied Water Science. 13(2). 30 indexed citations

14.

Bhagat, Suraj Kumar, Mustafa Al-Mukhtar, Tiyasha Tiyasha, et al.. (2021). Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models. Environmental Science and Pollution Research. 28(24). 31670–31688. 23 indexed citations

15.

Al-Mukhtar, Mustafa, et al.. (2021). Modelling the IDF curves using the temporal stochastic disaggregation BLRP model for precipitation data in Najaf City. Arabian Journal of Geosciences. 14(19). 5 indexed citations

16.

Al-Mukhtar, Mustafa. (2019). Random forest, support vector machine, and neural networks to modelling suspended sediment in Tigris River-Baghdad. Environmental Monitoring and Assessment. 191(11). 673–673. 78 indexed citations

17.

Al-Mukhtar, Mustafa, et al.. (2019). Modelling the Ecosystem Behavior of Abu-Ziriq Marsh in South of Iraq Under Different Water Discharges Scenarios. SHILAP Revista de lepidopterología. 37(10A). 442–452. 2 indexed citations

18.

Al-Mukhtar, Mustafa. (2016). Modelling the root zone soil moisture using artificial neural networks, a case study. Environmental Earth Sciences. 75(15). 16 indexed citations

19.

Al-Mukhtar, Mustafa, et al.. (2014). Runoff and sediment yield modeling by means of WEPP in the Bautzen dam catchment, Germany. Environmental Earth Sciences. 72(6). 2051–2063. 16 indexed citations

20.

Al-Mukhtar, Mustafa, et al.. (2014). Assessing the Impacts of Climate Change on Hydrology of the Upper Reach of the Spree River: Germany. Water Resources Management. 28(10). 2731–2749. 43 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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