Muhammad Izhar Shah

1.3k total citations · 1 hit paper
19 papers, 996 citations indexed

About

Muhammad Izhar Shah is a scholar working on Water Science and Technology, Civil and Structural Engineering and Environmental Engineering. According to data from OpenAlex, Muhammad Izhar Shah has authored 19 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 8 papers in Civil and Structural Engineering and 7 papers in Environmental Engineering. Recurrent topics in Muhammad Izhar Shah's work include Innovative concrete reinforcement materials (7 papers), Water Quality Monitoring Technologies (6 papers) and Hydrological Forecasting Using AI (6 papers). Muhammad Izhar Shah is often cited by papers focused on Innovative concrete reinforcement materials (7 papers), Water Quality Monitoring Technologies (6 papers) and Hydrological Forecasting Using AI (6 papers). Muhammad Izhar Shah collaborates with scholars based in Pakistan, Saudi Arabia and Australia. Muhammad Izhar Shah's co-authors include Muhammad Faisal Javed, Fahid Aslam, Rayed Alyousef, Furqan Farooq, Ali Aldrees, Taher Abunama, Arslan Akbar, Xin Jin, Hisham Alabduljabbar and Muhammad Nasir Amin and has published in prestigious journals such as Construction and Building Materials, Sustainability and Environmental Science and Pollution Research.

In The Last Decade

Muhammad Izhar Shah

18 papers receiving 973 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Geopolymer concrete as sustainable material: A state of the art review

2021 237 citations Furqan Farooq, Xin Jin et al. Construction and Building Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Izhar Shah Pakistan	14	584	318	243	239	81	19	996
Gholamreza Asadollahfardi Iran	19	598 1.0×	560 1.8×	289 1.2×	314 1.3×	119 1.5×	111	1.5k
Mohd Remy Rozainy Mohd Arif Zainol Malaysia	14	250 0.4×	127 0.4×	69 0.3×	250 1.0×	103 1.3×	88	727
Peiman Kianmehr United Arab Emirates	11	298 0.5×	283 0.9×	212 0.9×	60 0.3×	30 0.4×	29	548
Kanghao Tan China	17	498 0.9×	427 1.3×	483 2.0×	31 0.1×	73 0.9×	26	1.1k
Wensheng Zhang China	10	419 0.7×	174 0.5×	127 0.5×	55 0.2×	76 0.9×	28	659
Hafez Afify Egypt	13	224 0.4×	101 0.3×	49 0.2×	109 0.5×	47 0.6×	26	585
Bujang Kim Huat Malaysia	16	675 1.2×	106 0.3×	172 0.7×	34 0.1×	43 0.5×	69	843
Zain Ijaz China	16	588 1.0×	176 0.6×	192 0.8×	19 0.1×	47 0.6×	28	890
Zhenzhong Shen China	15	648 1.1×	81 0.3×	144 0.6×	43 0.2×	45 0.6×	126	868

Countries citing papers authored by Muhammad Izhar Shah

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Izhar Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Izhar Shah

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

All Works

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19 of 19 papers shown

Shah, Muhammad Izhar, et al.. (2025). Constructing storm hydrographs at ungaged locations in a low-gradient watershed using SWAT calibrated to the NWM. Hydrological Sciences Journal. 70(6). 947–962.

Saqib, Muhammad, et al.. (2023). Climate Change Investigation of Swat River Using HEC-HMS Hydrological Model. International Journal for Research in Applied Science and Engineering Technology. 11(9). 479–487. 2 indexed citations

Shah, Muhammad Izhar, et al.. (2022). Eco-Friendly Incorporation of Crumb Rubber and Waste Bagasse Ash in Bituminous Concrete Mix. Materials. 15(7). 2509–2509. 3 indexed citations

Shah, Muhammad Izhar, et al.. (2022). Comparative Assessment of Individual and Ensemble Machine Learning Models for Efficient Analysis of River Water Quality. Sustainability. 14(3). 1183–1183. 48 indexed citations

Memon, Shazim Ali, Usman Javed, Muhammad Izhar Shah, & Asad Hanif. (2022). Use of Processed Sugarcane Bagasse Ash in Concrete as Partial Replacement of Cement: Mechanical and Durability Properties. Buildings. 12(10). 1769–1769. 43 indexed citations

Shah, Muhammad Izhar, Muhammad Nasir Amin, Kaffayatullah Khan, et al.. (2021). Performance Evaluation of Soft Computing for Modeling the Strength Properties of Waste Substitute Green Concrete. Sustainability. 13(5). 2867–2867. 37 indexed citations

Shah, Muhammad Izhar, Taher Abunama, Muhammad Faisal Javed, et al.. (2021). Modeling Surface Water Quality Using the Adaptive Neuro-Fuzzy Inference System Aided by Input Optimization. Sustainability. 13(8). 4576–4576. 42 indexed citations

Khan, Mohsin Ali, Mohsin Ali Khan, Muhammad Izhar Shah, et al.. (2021). Application of random forest for modelling of surface water salinity. Ain Shams Engineering Journal. 13(4). 101635–101635. 68 indexed citations

Amin, Muhammad Nasir, Kaffayatullah Khan, Fahid Aslam, et al.. (2021). Multigene Expression Programming Based Forecasting the Hardened Properties of Sustainable Bagasse Ash Concrete. Materials. 14(19). 5659–5659. 19 indexed citations

10.

Shah, Muhammad Izhar, et al.. (2021). Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data. Process Safety and Environmental Protection. 151. 324–340. 66 indexed citations

11.

Shah, Muhammad Izhar, et al.. (2021). Predictive Modeling Approach for Surface Water Quality: Development and Comparison of Machine Learning Models. Sustainability. 13(14). 7515–7515. 42 indexed citations

12.

Farooq, Furqan, Xin Jin, Muhammad Faisal Javed, et al.. (2021). Geopolymer concrete as sustainable material: A state of the art review. Construction and Building Materials. 306. 124762–124762. 237 indexed citations breakdown →

13.

Shah, Muhammad Izhar, Muhammad Faisal Javed, Fahid Aslam, & Hisham Alabduljabbar. (2021). Machine learning modeling integrating experimental analysis for predicting the properties of sugarcane bagasse ash concrete. Construction and Building Materials. 314. 125634–125634. 67 indexed citations

14.

Sarwar, Muhammad Kaleem, Muhammad Atiq Ur Rehman Tariq, Rashid Farooq, et al.. (2021). A Hydraulic Analysis of Shock Wave Generation Mechanism on Flat Spillway Chutes through Physical Modeling. Hydrology. 8(4). 186–186. 3 indexed citations

15.

Shah, Muhammad Izhar, Shazim Ali Memon, Muhammad Bilal Khan, et al.. (2021). Machine Learning‐Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete. Advances in Civil Engineering. 2021(1). 39 indexed citations

16.

Tariq, Muhammad Atiq Ur Rehman, et al.. (2021). Development of a Hydrodynamic-Based Flood-Risk Management Tool for Assessing Redistribution of Expected Annual Damages in a Floodplain. Water. 13(24). 3562–3562. 4 indexed citations

17.

Javed, Muhammad Faisal, Muhammad Nasir Amin, Muhammad Izhar Shah, et al.. (2020). Applications of Gene Expression Programming and Regression Techniques for Estimating Compressive Strength of Bagasse Ash based Concrete. Crystals. 10(9). 737–737. 143 indexed citations

18.

Shah, Muhammad Izhar, Muhammad Faisal Javed, & Taher Abunama. (2020). Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniques. Environmental Science and Pollution Research. 28(11). 13202–13220. 94 indexed citations

19.

Shah, Muhammad Izhar, et al.. (2020). Predicting hydrologic responses to climate changes in highly glacierized and mountainous region Upper Indus Basin. Royal Society Open Science. 7(8). 191957–191957. 39 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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