Amir Mosavi

23.4k citations

416 papers · 14.1k indexed · 7 hit papers · h-index 62

Environmental Engineering top 0.2%
Global and Planetary Change top 0.5%
Artificial Intelligence top 0.5%
Electrical and Electronic Engineering top 2%
Civil and Structural Engineering top 0.5%

Co-authors: Shahaboddin Shamshirband Kwok‐wing Chau Shahab S. Band Bahram Choubin Sina Ardabili Narjes Nabipour Annamária R. Várkonyi-Kóczy Farzaneh Sajedi Hosseini
Topics: Hydrological Forecasting Using AI (39 papers)Energy Load and Power Forecasting (34 papers)Hydrology and Watershed Management Studies (32 papers)
Cited by: Environmental Engineering Water Science and Technology Global and Planetary Change
Journals: SHILAP Revista de lepidopterologíaPLoS ONE The Science of The Total Environment
Partner nations: Hungary Iran Germany

In The Last Decade

Amir Mosavi

400 papers receiving 13.6k citations

Hit Papers

5 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.

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 →
State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

2019 387 citations Amir Mosavi, Sina Ardabili et al. profile →
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 →
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 →
Deep Learning for Stock Market Prediction

2020 218 citations Amir Mosavi et al. profile →
Evaluating urban flood risk using hybrid method of TOPSIS and machine learning

2021 199 citations Bahram Choubin, Amir Mosavi et al. profile →
SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

2021 131 citations Shahab S. Band, Amir Mosavi et al. profile →

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Nanoadditives for Enzymatic Biohydrogen Production 2025 ·Acta Polytechnica Hungarica ·(unknown),Sina Ardabili,Hadi Ghaebi,Amir Mosavi	0
2	Environmental assessment of soluble solids contents and pH of orange using hyperspectral method and machine learning 2024 ·SHILAP Revista de lepidopterología ·Mansour Rasekh,Sina Ardabili,Amir Mosavi	2
3	Locating pocket parks: Assessing the effects of land use and accessibility on the public presence 2023 ·Environmental and Sustainability Indicators ·(unknown),مهرداد کریمی مشاور,Armin Akhavan,(unknown),Farshid Aram,Amir Mosavi	13
4	Modeling Post-Fire Vegetation Recovery using Satellite and Environmental Data in Zagros Forest Ecosystem, Ilam 2023 ·(unknown),Mehdi Heydari,(unknown),(unknown),Amir Mosavi	0
5	CYCLOCOPULA TECHNIQUE TO STUDY THE RELATIONSHIP BETWEEN TWO CYCLOSTATIONARY TIME SERIES WITH FRACTIONAL BROWNIAN MOTION ERRORS 2022 ·Fractals ·Mohammad Reza Mahmoudi,Amir Mosavi	3
6	Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit 2022 ·OSF Preprints (OSF Preprints) ·(unknown),Danial Sharifrazi,Guoxi Liang,Shahab S. Band,Kwok‐wing Chau,Amir Mosavi	6
7	Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning 2022 ·Computational Intelligence and Neuroscience ·(unknown),Sagheer Abbas,Muhammad Adnan Khan,Atta Rahman,Kiran Sultan,Maqsood Mahmud,Amir Mosavi	19
8	Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit 2022 ·Engineering Applications of Computational Fluid Mechanics ·Weibin Chen,Danial Sharifrazi,Guoxi Liang,Shahab S. Band,Kwok‐wing Chau,Amir Mosavi	23
9	Numerical investigation of magnetic field on forced convection heat transfer and entropy generation in a microchannel with trapezoidal ribs 2021 ·Engineering Applications of Computational Fluid Mechanics ·(unknown),(unknown),Alexei Valerievich Yumashev,Dariush Bahrami,Rasool Kalbasi,Mehdi Jahangiri,Arash Karimipour,Shahab S. Band,Kwok‐wing Chau,Amir Mosavi	19
10	Forecasting the discharge capacity of inflatable rubber dams using hybrid machine learning models 2021 ·Engineering Applications of Computational Fluid Mechanics ·Wenyu Zheng,Shahab S. Band,Hojat Karami,(unknown),Saeed Samadianfard,Sadra Shadkani,Kwok‐wing Chau,Amir Mosavi	9
11	A Wider Impedance Bandwidth Dual Filter Symmetrical MIMO Antenna for High-Speed Wideband Wireless Applications 2021 ·Symmetry ·Manish Sharma,(unknown),(unknown),Nitin Goyal,Divya Anand,Amir Mosavi	13
12	Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression 2021 ·Engineering Applications of Computational Fluid Mechanics ·Shahab S. Band,Essam Heggy,Sayed M. Bateni,Hojat Karami,(unknown),Saeed Samadianfard,Kwok‐wing Chau,Amir Mosavi	72
13	Urban heat resilience at the time of global warming: evaluating the impact of the urban parks on outdoor thermal comfort 2020 ·Environmental Sciences Europe ·Farshid Aram,Ebrahim Solgi,Ester Higueras García,Amir Mosavi	61
14	Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling 2020 ·Engineering Applications of Computational Fluid Mechanics ·(unknown),(unknown),Keivan Khalili,Javad Behmanesh,Shahab S. Band,Amir Mosavi,Kwok‐wing Chau	16
15	Comparative analysis of hybrid models of firefly optimization algorithm with support vector machines and multilayer perceptron for predicting soil temperature at different depths 2020 ·Engineering Applications of Computational Fluid Mechanics ·Shahaboddin Shamshirband,(unknown),Davoud Zarehaghi,(unknown),Saeed Samadianfard,Mohammad Ali Ghorbani,Amir Mosavi,Narjes Nabipour,Kwok‐wing Chau	41
16	Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms 2020 ·Engineering Applications of Computational Fluid Mechanics ·Katayoun Kargar,Saeed Samadianfard,(unknown),Narjes Nabipour,Shahaboddin Shamshirband,Amir Mosavi,Kwok‐wing Chau	86
17	Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain 2019 ·The Science of The Total Environment ·Bahram Choubin,(unknown),Ehsan Moradi,Xavier Querol,Amir Mosavi,(unknown),Pedram Ghamisi	122
18	Renewable Energy Technology Selection Problem Using Integrated H-SWARA-MULTIMOORA Approach 2018 ·Sustainability ·Abtin Ijadi Maghsoodi,(unknown),Amir Mosavi,Timon Rabczuk,Edmundas Kazimieras Zavadskas	62
19	Sugarcane growth prediction based on meteorological parameters using extreme learning machine and artificial neural network 2018 ·Engineering Applications of Computational Fluid Mechanics ·Pezhman Taherei Ghazvinei,Hossein Hassanpour Darvishi,Amir Mosavi,Khamaruzaman B. Wan Yusof,Meysam Alizamir,Shahaboddin Shamshirband,Kwok‐wing Chau	99
20	Data mining for decision making in engineering optimal design 2014 ·SHILAP Revista de lepidopterología ·Amir Mosavi	9

About Amir Mosavi

Amir Mosavi is a scholar working on Environmental Engineering, Health Informatics and Water Science and Technology, having authored 416 papers that have together received 14.1k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (39 papers), Energy Load and Power Forecasting (34 papers) and Hydrology and Watershed Management Studies (32 papers). The work is most often cited by research in Environmental Engineering (2.6k citations), Water Science and Technology (1.9k citations) and Global and Planetary Change (2.4k citations). Amir Mosavi has collaborated with scholars based in Hungary, Iran and Germany. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

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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