Mohammad Ehteram

4.8k total citations · 1 hit paper
111 papers, 3.5k citations indexed

About

Mohammad Ehteram is a scholar working on Environmental Engineering, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Mohammad Ehteram has authored 111 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Environmental Engineering, 58 papers in Water Science and Technology and 30 papers in Ocean Engineering. Recurrent topics in Mohammad Ehteram's work include Hydrological Forecasting Using AI (52 papers), Hydrology and Watershed Management Studies (32 papers) and Water resources management and optimization (29 papers). Mohammad Ehteram is often cited by papers focused on Hydrological Forecasting Using AI (52 papers), Hydrology and Watershed Management Studies (32 papers) and Water resources management and optimization (29 papers). Mohammad Ehteram collaborates with scholars based in Iran, Malaysia and United Arab Emirates. Mohammad Ehteram's co-authors include Ahmed El‐Shafie, Ali Najah Ahmed, Haitham Abdulmohsin Afan, Chow Ming Fai, Hojat Karami, Saeed Farzin, Faridah Othman, Md. Shabbir Hossain, Fatemeh Barzegari Banadkooki and Fatemeh Panahi and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Journal of Hydrology.

In The Last Decade

Mohammad Ehteram

111 papers receiving 3.5k 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.

Machine learning methods for better water quality prediction

2019 461 citations Ali Najah Ahmed, Faridah Othman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Ehteram Iran	34	1.7k	1.7k	803	665	533	111	3.5k
Haitham Abdulmohsin Afan Malaysia	32	2.1k 1.2×	1.9k 1.1×	869 1.1×	357 0.5×	383 0.7×	71	3.5k
Salim Heddam Algeria	39	2.5k 1.5×	2.1k 1.3×	1.1k 1.4×	284 0.4×	410 0.8×	175	4.4k
Mohammad Reza Nikoo Iran	37	1.4k 0.8×	1.6k 0.9×	1.1k 1.4×	1.4k 2.2×	918 1.7×	263	4.7k
Saeed Farzin Iran	31	837 0.5×	944 0.6×	590 0.7×	592 0.9×	763 1.4×	103	2.7k
Ashu Jain India	21	2.0k 1.2×	1.6k 0.9×	1.0k 1.3×	394 0.6×	472 0.9×	53	3.0k
Chow Ming Fai Malaysia	33	1.9k 1.1×	1.4k 0.9×	797 1.0×	229 0.3×	289 0.5×	127	3.3k
Francesco Granata Italy	28	1.4k 0.8×	1.2k 0.7×	1.0k 1.3×	242 0.4×	467 0.9×	92	2.8k
Xiaohui Lei China	37	1.1k 0.6×	2.4k 1.4×	1.3k 1.7×	1.2k 1.8×	660 1.2×	207	4.6k
Roohollah Noori Iran	41	2.0k 1.2×	2.2k 1.3×	874 1.1×	372 0.6×	357 0.7×	103	4.7k
Sungwon Kim South Korea	34	2.0k 1.2×	1.3k 0.8×	1.2k 1.4×	193 0.3×	399 0.7×	121	3.4k

Countries citing papers authored by Mohammad Ehteram

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Ehteram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Ehteram. 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 Mohammad Ehteram. The network helps show where Mohammad Ehteram may publish in the future.

Co-authorship network of co-authors of Mohammad Ehteram

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ehteram. A scholar is included among the top collaborators of Mohammad Ehteram 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 Mohammad Ehteram. Mohammad Ehteram 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

Ehteram, Mohammad, et al.. (2025). Combination of ANFIS and MLP with GRU and VMD models for predicting pan evaporation. Ain Shams Engineering Journal. 16(9). 103530–103530. 2 indexed citations

Piadeh, Farzad, et al.. (2024). Urban water infrastructure: A critical review on climate change impacts and adaptation strategies. Urban Climate. 58. 102132–102132. 19 indexed citations

Achite, Mohammed, et al.. (2024). Shannon entropy of performance metrics to choose the best novel hybrid algorithm to predict groundwater level (case study: Tabriz plain, Iran). Environmental Monitoring and Assessment. 196(3). 227–227. 10 indexed citations

Khodadadi, Nima, Mohammad Ehteram, Hojat Karami, et al.. (2024). Leader selection based Multi-Objective Flow Direction Algorithm (MOFDA): A novel approach for engineering design problems. Results in Engineering. 25. 103670–103670. 9 indexed citations

Pourebrahim, Sharareh, Mohammad Ehteram, Mehrdad Hadipour, et al.. (2024). Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model. Environmental Sciences Europe. 36(1). 1 indexed citations

Seifi, Akram, et al.. (2024). A robust multi-model framework for groundwater level prediction: The BFSA-MVMD-GRU-RVM model. Results in Engineering. 24. 103250–103250. 9 indexed citations

Sammen, Saad Sh., Özgür Kişi, Mohammad Ehteram, et al.. (2023). Rainfall modeling using two different neural networks improved by metaheuristic algorithms. Environmental Sciences Europe. 35(1). 9 indexed citations

Sammen, Saad Sh., Mohammad Ehteram, Zohreh Sheikh Khozani, & Lariyah Mohd Sidek. (2023). Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level. Water. 15(8). 1593–1593. 13 indexed citations

Ehteram, Mohammad, Ali Najah Ahmed, Zohreh Sheikh Khozani, & Ahmed El‐Shafie. (2023). Convolutional Neural Network -Support Vector Machine Model-Gaussian Process Regression: A New Machine Model for Predicting Monthly and Daily Rainfall. Water Resources Management. 37(9). 3631–3655. 26 indexed citations

10.

Ehteram, Mohammad, et al.. (2022). Uncertainty and spatial analysis in wheat yield prediction based on robust inclusive multiple models. Environmental Science and Pollution Research. 30(8). 20887–20906. 6 indexed citations

11.

Ehteram, Mohammad, Ali Najah Ahmed, Pavitra Kumar, Mohsen Sherif, & Ahmed El‐Shafie. (2021). Predicting freshwater production and energy consumption in a seawater greenhouse based on ensemble frameworks using optimized multi-layer perceptron. Energy Reports. 7. 6308–6326. 19 indexed citations

12.

Ehteram, Mohammad, Ali Najah Ahmed, Lloyd Ling, et al.. (2020). Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm. Water. 12(3). 902–902. 39 indexed citations

13.

Banadkooki, Fatemeh Barzegari, Mohammad Ehteram, Ali Najah Ahmed, et al.. (2020). Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm. Natural Resources Research. 29(5). 3233–3252. 85 indexed citations

14.

Ahmed, Ali Najah, Faridah Othman, Rusul Khaleel Ibrahim, et al.. (2019). Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios. Water. 11(6). 1231–1231. 113 indexed citations

15.

Mousavi, Sayed‐Farhad, Hojat Karami, Saeed Farzin, et al.. (2019). Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction. PLoS ONE. 14(5). e0217634–e0217634. 49 indexed citations

16.

Sulaiman, Sadeq Oleiwi, Lamine Diop, Mohammad Ehteram, et al.. (2019). Open Channel Sluice Gate Scouring Parameters Prediction: Different Scenarios of Dimensional and Non-Dimensional Input Parameters. Water. 11(2). 353–353. 34 indexed citations

17.

Ehteram, Mohammad, Haitham Abdulmohsin Afan, Nuruol Syuhadaa Mohd, et al.. (2019). New Evolutionary Algorithm for Optimizing Hydropower Generation Considering Multireservoir Systems. Applied Sciences. 9(11). 2280–2280. 28 indexed citations

18.

Ehteram, Mohammad, Ahmed El‐Shafie, Sai Hin Lai, et al.. (2019). Toward Bridging Future Irrigation Deficits Utilizing the Shark Algorithm Integrated with a Climate Change Model. Applied Sciences. 9(19). 3960–3960. 7 indexed citations

19.

Ehteram, Mohammad, Haitham Abdulmohsin Afan, Ali Najah Ahmed, et al.. (2019). Assessing the Predictability of an Improved ANFIS Model for Monthly Streamflow Using Lagged Climate Indices as Predictors. Water. 11(6). 1130–1130. 52 indexed citations

20.

Ehteram, Mohammad, Ali Najah Ahmed, Chow Ming Fai, Haitham Abdulmohsin Afan, & Ahmed El‐Shafie. (2019). Accuracy Enhancement for Zone Mapping of a Solar Radiation Forecasting Based Multi-Objective Model for Better Management of the Generation of Renewable Energy. Energies. 12(14). 2730–2730. 18 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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