Mohammad Zounemat‐Kermani

7.6k total citations · 1 hit paper
154 papers, 5.7k citations indexed

About

Mohammad Zounemat‐Kermani is a scholar working on Environmental Engineering, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, Mohammad Zounemat‐Kermani has authored 154 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Environmental Engineering, 64 papers in Water Science and Technology and 46 papers in Artificial Intelligence. Recurrent topics in Mohammad Zounemat‐Kermani's work include Hydrological Forecasting Using AI (91 papers), Hydrology and Watershed Management Studies (39 papers) and Energy Load and Power Forecasting (29 papers). Mohammad Zounemat‐Kermani is often cited by papers focused on Hydrological Forecasting Using AI (91 papers), Hydrology and Watershed Management Studies (39 papers) and Energy Load and Power Forecasting (29 papers). Mohammad Zounemat‐Kermani collaborates with scholars based in Iran, Georgia and Germany. Mohammad Zounemat‐Kermani's co-authors include Özgür Kişi, Reinhard Hinkelmann, Amin Mahdavi‐Meymand, Marzieh Fadaee, Taher Rajaee, Rana Muhammad Adnan, Meysam Alizamir, Okke Batelaan, Lunche Wang and Sungwon Kim and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Mohammad Zounemat‐Kermani

147 papers receiving 5.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Ensemble machine learning paradigms in hydrology: A review

2021 449 citations Mohammad Zounemat‐Kermani, Marzieh Fadaee et al. Journal of Hydrology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Zounemat‐Kermani Iran	42	3.1k	2.3k	1.8k	1.3k	900	154	5.7k
Jalal Shiri Iran	48	3.4k 1.1×	2.5k 1.1×	2.3k 1.3×	1.2k 0.9×	716 0.8×	126	5.8k
Ali Najah Ahmed Malaysia	51	4.6k 1.5×	3.2k 1.4×	2.3k 1.3×	1.2k 1.0×	1.4k 1.5×	326	9.1k
Salim Heddam Algeria	39	2.5k 0.8×	2.1k 0.9×	1.1k 0.6×	821 0.6×	534 0.6×	175	4.4k
K. P. Sudheer India	41	4.4k 1.4×	3.9k 1.7×	3.3k 1.9×	579 0.4×	757 0.8×	119	7.0k
Dimitri Solomatine Netherlands	48	3.9k 1.3×	4.1k 1.8×	3.6k 2.0×	819 0.6×	667 0.7×	199	8.3k
Vahid Nourani Iran	52	6.0k 1.9×	4.7k 2.0×	3.7k 2.1×	1.1k 0.9×	1.3k 1.4×	298	9.8k
Anurag Malik India	40	2.0k 0.7×	1.5k 0.7×	1.9k 1.1×	480 0.4×	436 0.5×	122	3.8k
Bahram Gharabaghi Canada	41	2.6k 0.8×	2.1k 0.9×	1.5k 0.8×	442 0.3×	362 0.4×	266	5.7k
Isa Ebtehaj Iran	43	2.0k 0.6×	1.4k 0.6×	991 0.6×	592 0.5×	541 0.6×	129	4.4k
Hossein Bonakdari Iran	47	2.7k 0.9×	2.2k 1.0×	1.5k 0.8×	781 0.6×	730 0.8×	299	7.0k

Countries citing papers authored by Mohammad Zounemat‐Kermani

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Zounemat‐Kermani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Zounemat‐Kermani

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

Adnan, Rana Muhammad, Ahmed A. Ewees, Mo Wang, et al.. (2025). Enhancing BOD5 forecasting accuracy with the ANN-Enhanced Runge Kutta model. Journal of environmental chemical engineering. 13(2). 115430–115430. 9 indexed citations

Nunno, Fabio Di, Francesco Granata, Sungwon Kim, et al.. (2025). Predicting water quality variables using gradient boosting machine: global versus local explainability using SHapley Additive Explanations (SHAP). Earth Science Informatics. 18(3). 13 indexed citations

Adnan, Rana Muhammad, Mo Wang, Adil Masood, et al.. (2025). Applications of Advanced Optimized Neuro Fuzzy Models for Enhancing Daily Suspended Sediment Load Prediction. Computer Modeling in Engineering & Sciences. 143(1). 1249–1272.

Zounemat‐Kermani, Mohammad, et al.. (2025). Interpretable boosting algorithms for prediction and data imputation of River Sediment. Applied Soft Computing. 187. 114378–114378.

Zounemat‐Kermani, Mohammad, et al.. (2025). Conventional and advanced AI-based models in soil moisture prediction. Physics and Chemistry of the Earth Parts A/B/C. 139. 103944–103944. 1 indexed citations

Adnan, Rana Muhammad, Reham R. Mostafa, Mo Wang, et al.. (2024). Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow. Journal of Hydrology. 650. 132496–132496. 23 indexed citations

Zounemat‐Kermani, Mohammad, et al.. (2024). Modeling river water dissolved organic matter using ensemble computing and genetic programming techniques. Ecohydrology & Hydrobiology. 25(2). 292–302. 1 indexed citations

Adnan, Rana Muhammad, Mo Wang, Ahmed A. Ewees, et al.. (2024). Enhancing Streamflow Prediction Accuracy: A Comprehensive Analysis of Hybrid Neural Network Models with Runge–Kutta with Aquila Optimizer. International Journal of Computational Intelligence Systems. 17(1). 6 indexed citations

Akbarifard, Saeid & Mohammad Zounemat‐Kermani. (2024). New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems. Water Resources Management. 38(15). 6007–6023. 2 indexed citations

10.

Heddam, Salim, Sungwon Kim, Mariusz Ptak, et al.. (2023). River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT. Ecological Informatics. 78. 102376–102376. 17 indexed citations

11.

Kişi, Özgür, Kulwinder Singh Parmar, Amin Mahdavi‐Meymand, et al.. (2023). Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models. Water. 15(6). 1095–1095. 14 indexed citations

12.

Heddam, Salim, Sungwon Kim, Ali Danandeh Mehr, et al.. (2022). Bat algorithm optimised extreme learning machine (Bat‐ELM): A novel approach for daily river water temperature modelling. Geographical Journal. 189(1). 78–89. 16 indexed citations

13.

Hai, Tao, Zainab Al-Khafaji, Chongchong Qi, et al.. (2021). Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions. Engineering Applications of Computational Fluid Mechanics. 15(1). 1585–1612. 47 indexed citations

14.

Rahnama, Mohammad, et al.. (2020). Spatial analysis of groundwater quality for drinking purpose in Sirjan Plain, Iran by fuzzy logic in GIS. Journal of Groundwater Science and Engineering. 8(1). 67–78. 1 indexed citations

15.

Zounemat‐Kermani, Mohammad, Amin Mahdavi‐Meymand, Meysam Alizamir, S. Adarsh, & Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬. (2020). On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico. Journal of Hydrology. 585. 124759–124759. 52 indexed citations

16.

Rahnama, Mohammad, et al.. (2020). Arsenic Contamination in Groundwater Resources of Sirjan Plain, Iran. Environmental Engineering Science. 37(10). 658–668. 7 indexed citations

17.

Zounemat‐Kermani, Mohammad, et al.. (2019). The performance of collars on scour reduction at tandem piers aligned with different skew angles. Marine Georesources and Geotechnology. 38(8). 911–922. 3 indexed citations

18.

Mahdavi‐Meymand, Amin, et al.. (2018). Evaluating performance of meta-heuristic algorithms and decision tree models in simulating water level variations of dams’ piezometers. SHILAP Revista de lepidopterología. 7 indexed citations

19.

Rahimpour, Majid, et al.. (2017). Numerical modeling based on a finite element method for simulation of flow in furrow irrigation. Paddy and Water Environment. 15(4). 879–887. 16 indexed citations

20.

Wang, Lunche, Özgür Kişi, Mohammad Zounemat‐Kermani, & Yiqun Gan. (2016). Comparison of six different soft computing methods in modeling evaporation in different climates. 15 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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