Amir Mosavi

23.4k total citations · 7 hit papers
416 papers, 14.1k citations indexed

About

Amir Mosavi is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Amir Mosavi has authored 416 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Environmental Engineering, 75 papers in Electrical and Electronic Engineering and 72 papers in Artificial Intelligence. Recurrent topics in Amir Mosavi's work include Hydrological Forecasting Using AI (39 papers), Energy Load and Power Forecasting (34 papers) and Hydrology and Watershed Management Studies (32 papers). Amir Mosavi is often cited by papers focused on Hydrological Forecasting Using AI (39 papers), Energy Load and Power Forecasting (34 papers) and Hydrology and Watershed Management Studies (32 papers). Amir Mosavi collaborates with scholars based in Hungary, Iran and Germany. Amir Mosavi's co-authors include Shahaboddin Shamshirband, Kwok‐wing Chau, Shahab S. Band, Bahram Choubin, Sina Ardabili, Narjes Nabipour, Annamária R. Várkonyi-Kóczy, Farzaneh Sajedi Hosseini, Timon Rabczuk and S. Shahab and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Amir Mosavi

400 papers receiving 13.6k citations

Hit Papers

An ensemble prediction of flood susceptibility using mult... 2018 2026 2020 2023 2018 2019 2019 2020 2020 100 200 300 400 500
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.

  1. An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
    2018 592 citations Bahram Choubin, Ehsan Moradi et al. The Science of The Total Environment profile →
  2. State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
    2019 387 citations Amir Mosavi, Sina Ardabili et al. profile →
  3. Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
    2019 279 citations Bahram Choubin, Amir Mosavi et al. The Science of The Total Environment profile →
  4. Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis
    2020 258 citations Amir Mosavi et al. profile →
  5. Deep Learning for Stock Market Prediction
    2020 218 citations Amir Mosavi et al. profile →
  6. Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
    2021 199 citations Bahram Choubin, Amir Mosavi et al. profile →
  7. SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT
    2021 131 citations Shahab S. Band, Amir Mosavi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amir Mosavi Hungary 62 2.6k 2.4k 2.0k 2.0k 1.9k 416 14.1k
Shahaboddin Shamshirband Iran 75 3.5k 1.4× 2.3k 0.9× 4.4k 2.2× 4.1k 2.0× 1.4k 0.7× 327 17.1k
Rehan Sadiq Canada 66 2.7k 1.1× 1.8k 0.7× 960 0.5× 1.1k 0.5× 3.2k 1.6× 493 17.1k
Nadhir Al‐Ansari Sweden 64 5.0k 2.0× 5.5k 2.3× 1.3k 0.7× 980 0.5× 1.8k 0.9× 769 16.6k
Ravinesh C. Deo Australia 70 5.8k 2.3× 4.4k 1.8× 3.0k 1.5× 3.4k 1.7× 1.2k 0.6× 306 14.8k
Andrea Saltelli Italy 59 5.2k 2.0× 4.0k 1.6× 880 0.4× 1.1k 0.5× 4.4k 2.3× 181 28.4k
Stefano Tarantola Italy 50 4.1k 1.6× 3.6k 1.5× 609 0.3× 718 0.4× 3.2k 1.7× 103 20.6k
Shafiqur Rehman Saudi Arabia 63 2.2k 0.9× 1.3k 0.5× 2.5k 1.3× 5.5k 2.7× 463 0.2× 412 16.5k
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ Iraq 77 8.8k 3.4× 5.3k 2.2× 2.7k 1.4× 2.7k 1.3× 2.9k 1.5× 557 20.4k
Hossein Moayedi Vietnam 62 1.2k 0.5× 1.1k 0.5× 1.5k 0.8× 1.6k 0.8× 3.5k 1.8× 274 11.4k
Ahmed El‐Shafie Malaysia 65 8.0k 3.1× 4.0k 1.6× 2.2k 1.1× 2.5k 1.3× 2.3k 1.2× 459 16.1k

Countries citing papers authored by Amir Mosavi

Since Specialization
Citations

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

Fields of papers citing papers by Amir Mosavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Mosavi

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

All Works

20 of 20 papers shown
1.
Ardabili, Sina, et al.. (2025). Nanoadditives for Enzymatic Biohydrogen Production. Acta Polytechnica Hungarica. 22(3). 7–25.
2.
Rasekh, Mansour, Sina Ardabili, & Amir Mosavi. (2024). Environmental assessment of soluble solids contents and pH of orange using hyperspectral method and machine learning. SHILAP Revista de lepidopterología. 9. 100544–100544. 2 indexed citations
3.
مشاور, مهرداد کریمی, et al.. (2023). Locating pocket parks: Assessing the effects of land use and accessibility on the public presence. Environmental and Sustainability Indicators. 18. 100253–100253. 13 indexed citations
4.
5.
Mahmoudi, Mohammad Reza & Amir Mosavi. (2022). CYCLOCOPULA TECHNIQUE TO STUDY THE RELATIONSHIP BETWEEN TWO CYCLOSTATIONARY TIME SERIES WITH FRACTIONAL BROWNIAN MOTION ERRORS. Fractals. 30(5). 3 indexed citations
6.
7.
Abbas, Sagheer, Muhammad Adnan Khan, Atta Rahman, et al.. (2022). Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning. Computational Intelligence and Neuroscience. 2022. 1–15. 19 indexed citations
8.
Chen, Weibin, Danial Sharifrazi, Guoxi Liang, et al.. (2022). Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit. Engineering Applications of Computational Fluid Mechanics. 16(1). 965–976. 23 indexed citations
9.
Yumashev, Alexei Valerievich, Dariush Bahrami, Rasool Kalbasi, et al.. (2021). Numerical investigation of magnetic field on forced convection heat transfer and entropy generation in a microchannel with trapezoidal ribs. Engineering Applications of Computational Fluid Mechanics. 15(1). 1746–1760. 19 indexed citations
10.
Zheng, Wenyu, Shahab S. Band, Hojat Karami, et al.. (2021). Forecasting the discharge capacity of inflatable rubber dams using hybrid machine learning models. Engineering Applications of Computational Fluid Mechanics. 15(1). 1761–1774. 9 indexed citations
11.
Sharma, Manish, et al.. (2021). A Wider Impedance Bandwidth Dual Filter Symmetrical MIMO Antenna for High-Speed Wideband Wireless Applications. Symmetry. 14(1). 29–29. 13 indexed citations
12.
Band, Shahab S., Essam Heggy, Sayed M. Bateni, et al.. (2021). Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression. Engineering Applications of Computational Fluid Mechanics. 15(1). 1147–1158. 72 indexed citations
13.
Aram, Farshid, Ebrahim Solgi, Ester Higueras García, & Amir Mosavi. (2020). Urban heat resilience at the time of global warming: evaluating the impact of the urban parks on outdoor thermal comfort. Environmental Sciences Europe. 32(1). 61 indexed citations
14.
Khalili, Keivan, et al.. (2020). Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling. Engineering Applications of Computational Fluid Mechanics. 14(1). 1351–1372. 16 indexed citations
15.
Shamshirband, Shahaboddin, Davoud Zarehaghi, Saeed Samadianfard, et al.. (2020). Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths. Engineering Applications of Computational Fluid Mechanics. 14(1). 939–953. 41 indexed citations
16.
Kargar, Katayoun, Saeed Samadianfard, Narjes Nabipour, et al.. (2020). Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms. Engineering Applications of Computational Fluid Mechanics. 14(1). 311–322. 86 indexed citations
17.
Choubin, Bahram, et al.. (2019). Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain. The Science of The Total Environment. 701. 134474–134474. 122 indexed citations
18.
Maghsoodi, Abtin Ijadi, et al.. (2018). Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach. Sustainability. 10(12). 4481–4481. 62 indexed citations
19.
Ghazvinei, Pezhman Taherei, Hossein Hassanpour Darvishi, Amir Mosavi, et al.. (2018). Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network. Engineering Applications of Computational Fluid Mechanics. 12(1). 738–749. 99 indexed citations
20.
Mosavi, Amir. (2014). Data mining for decision making in engineering optimal design. SHILAP Revista de lepidopterología. 9 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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