Narjes Nabipour

3.6k total citations · 2 hit papers
57 papers, 2.7k citations indexed

About

Narjes Nabipour is a scholar working on Electrical and Electronic Engineering, Environmental Engineering and Biomedical Engineering. According to data from OpenAlex, Narjes Nabipour has authored 57 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Environmental Engineering and 12 papers in Biomedical Engineering. Recurrent topics in Narjes Nabipour's work include Hydrological Forecasting Using AI (7 papers), Nanofluid Flow and Heat Transfer (5 papers) and Hydrology and Watershed Management Studies (5 papers). Narjes Nabipour is often cited by papers focused on Hydrological Forecasting Using AI (7 papers), Nanofluid Flow and Heat Transfer (5 papers) and Hydrology and Watershed Management Studies (5 papers). Narjes Nabipour collaborates with scholars based in Vietnam, Iran and Hungary. Narjes Nabipour's co-authors include Amir Mosavi, Shahaboddin Shamshirband, Kwok‐wing Chau, Bahram Choubin, Saeed Samadianfard, Esmaeil Asadi, Hamid Darabi, Farzaneh Sajedi Hosseini, Ali Torabi Haghighi and Katayoun Kargar and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Construction and Building Materials.

In The Last Decade

Narjes Nabipour

55 papers receiving 2.7k 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.

Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method

2019 279 citations Farzaneh Sajedi Hosseini, Bahram Choubin et al. The Science of The Total Environment profile →
Artificial neural networks training algorithm integrating invasive weed optimization with differential evolutionary model

2021 219 citations Narjes Nabipour et al. profile →

Peers

Countries citing papers authored by Narjes Nabipour

Since Specialization

Citations

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

Fields of papers citing papers by Narjes Nabipour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narjes Nabipour

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

#	Title	Journal	Authors	Indexed citations
1	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	Shahaboddin Shamshirband, Davoud Zarehaghi et al.	41
2	Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms	Engineering Applications of Computational Fluid Mechanics	Katayoun Kargar, Saeed Samadianfard et al.	86
3	Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things	Electronics	Shahaboddin Shamshirband, Anthony T. Chronopoulos et al.	38
4	Predictive Modeling the Free Hydraulic Jumps Pressure through Advanced Statistical Methods	Mathematics	Daniele Bocchiola, Narjes Nabipour et al.	8
5	Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants	Engineering Applications of Computational Fluid Mechanics	Shahaboddin Shamshirband, Meisam Babanezhad et al.	15
6	Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines	Engineering Applications of Computational Fluid Mechanics	Shahaboddin Shamshirband, Amir Mosavi et al.	111
7	Image Analysis Using Human Body Geometry and Size Proportion Science for Action Classification	Applied Sciences	Syed Muhammad Saqlain, Anwar Ghani et al.	2
8	Insights into the Effects of Pore Size Distribution on the Flowing Behavior of Carbonate Rocks: Linking a Nano-Based Enhanced Oil Recovery Method to Rock Typing	Nanomaterials	Amin Rezaei, Hadi Abdollahi et al.	47
9	Improvements in the Explicit Estimation of Pollutant Dispersion Coefficient in Rivers by Subset Selection of Maximum Dissimilarity Hybridized With ANFIS-Firefly Algorithm (FFA)	IEEE Access	Hossien Riahi-Madvar, Majid Dehghani et al.	14
10	Predicting Standardized Streamflow index for hydrological drought using machine learning models	Engineering Applications of Computational Fluid Mechanics	S. Shamshirband, Sajjad Hashemi et al.	246
11	Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model	International Journal of Environmental Research and Public Health	Javad Hassannataj Joloudari, Hamid Saadatfar et al.	108
12	Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices	ISPRS International Journal of Geo-Information	Majid Dehghani, Amir Mosavi et al.	38
13	An Enhanced Distributed Congestion Control Method for Classical 6LowPAN Protocols Using Fuzzy Decision System	IEEE Access	Amir Mosavi, Narjes Nabipour et al.	26
14	Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks	IEEE Access	Narjes Nabipour, Majid Dehghani et al.	66
15	Extreme Learning Machine-Based Model for Solubility Estimation of Hydrocarbon Gases in Electrolyte Solutions	Processes	Narjes Nabipour, Amir Mosavi et al.	26
16	Hydrocarbons density estimates for a wide range of conditions using RBF-ANN and ANFIS strategies	Energy Sources Part A Recovery Utilization and Environmental Effects	Shahaboddin Shamshirband, Narjes Nabipour et al.	3
17	Fault Diagnosis of Rotating Electrical Machines Using Multi-Label Classification	Applied Sciences	Adrienn Dineva, Amir Mosavi et al.	45
18	Groundwater Quality Assessment for Sustainable Drinking and Irrigation	Sustainability	Esmaeil Asadi, Mohammad Isazadeh et al.	149
19	Comparative Analysis of Machine Learning Models for Prediction of Remaining Service Life of Flexible Pavement	Mathematics	Narjes Nabipour, Nader Karballaeezadeh et al.	49
20	Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method breakdown →	The Science of The Total Environment	Farzaneh Sajedi Hosseini, Bahram Choubin et al.	279

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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