Nadia Al‐Rousan

917 total citations
34 papers, 626 citations indexed

About

Nadia Al‐Rousan is a scholar working on Artificial Intelligence, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, Nadia Al‐Rousan has authored 34 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Economics and Econometrics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Nadia Al‐Rousan's work include Solar Radiation and Photovoltaics (10 papers), COVID-19 epidemiological studies (6 papers) and Photovoltaic System Optimization Techniques (6 papers). Nadia Al‐Rousan is often cited by papers focused on Solar Radiation and Photovoltaics (10 papers), COVID-19 epidemiological studies (6 papers) and Photovoltaic System Optimization Techniques (6 papers). Nadia Al‐Rousan collaborates with scholars based in Türkiye, Jordan and Saudi Arabia. Nadia Al‐Rousan's co-authors include Hazem Al‐Najjar, Mohd Khairunaz Mat Desa, Nor Ashidi Mat Isa, Osama Ahmad Alomari, Mohammad Al-Rousan, Hani Al‐Najjar, S. S. N. Alhady, Husam Al-Najjar and Junita Mohamad–Saleh and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Sustainability and Journal of Medical Virology.

In The Last Decade

Nadia Al‐Rousan

31 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia Al‐Rousan Türkiye 13 293 231 131 80 79 34 626
Ch. Mohan Sai Kumar India 6 145 0.5× 106 0.5× 138 1.1× 70 0.9× 97 1.2× 14 675
Hazem Al‐Najjar Türkiye 11 85 0.3× 36 0.2× 38 0.3× 79 1.0× 79 1.0× 38 357
Anuradha Tomar India 12 162 0.6× 121 0.5× 222 1.7× 111 1.4× 194 2.5× 88 677
Futian Weng China 12 171 0.6× 51 0.2× 94 0.7× 125 1.6× 57 0.7× 28 500
Behrouz Pirouz Italy 15 72 0.2× 33 0.1× 24 0.2× 80 1.0× 142 1.8× 31 637
Neeraj Gupta India 12 127 0.4× 26 0.1× 345 2.6× 112 1.4× 194 2.5× 59 753
Sarbjit Singh India 8 122 0.4× 15 0.1× 79 0.6× 83 1.0× 86 1.1× 17 511
Md. Mokhlesur Rahman United States 13 99 0.3× 13 0.1× 32 0.2× 83 1.0× 112 1.4× 30 622
Berna Uzun Cyprus 17 114 0.4× 27 0.1× 21 0.2× 56 0.7× 32 0.4× 89 694
Mehmet Şahin Türkiye 9 93 0.3× 16 0.1× 47 0.4× 206 2.6× 240 3.0× 24 777

Countries citing papers authored by Nadia Al‐Rousan

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Al‐Rousan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Al‐Rousan. 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 Nadia Al‐Rousan. The network helps show where Nadia Al‐Rousan may publish in the future.

Co-authorship network of co-authors of Nadia Al‐Rousan

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Al‐Rousan. A scholar is included among the top collaborators of Nadia Al‐Rousan 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 Nadia Al‐Rousan. Nadia Al‐Rousan 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.
Al‐Rousan, Nadia & Hazem Al‐Najjar. (2024). Optimized deep neural network to estimate orientation angles for solar photovoltaics intelligent systems. Cleaner Engineering and Technology. 20. 100754–100754. 4 indexed citations
2.
Al‐Najjar, Hazem & Nadia Al‐Rousan. (2024). Decision Tree-Based IoT Botnet Attack Detection. 1–5.
3.
Al‐Rousan, Nadia, et al.. (2024). The impact of Russo-Ukrainian war, COVID-19, and oil prices on global food security. Heliyon. 10(8). e29279–e29279. 7 indexed citations
4.
Al‐Najjar, Hazem, et al.. (2024). Hybrid grey wolf and whale optimization for enhanced Parkinson's prediction based on machine learning models using biomedical sound. Informatics in Medicine Unlocked. 48. 101524–101524. 3 indexed citations
5.
Al‐Najjar, Hazem & Nadia Al‐Rousan. (2024). Enhancing Image Security with Rossler Attractor-Based Encryption. 1–7.
6.
Al‐Najjar, Hazem, et al.. (2023). Developing a Sustainable Machine Learning Model to Predict Crop Yield in the Gulf Countries. Sustainability. 15(12). 9392–9392. 5 indexed citations
7.
Al‐Rousan, Nadia, et al.. (2023). Assessing the Impact of Syrian Refugee Influx on the Jordanian Stock Exchange Market. Risks. 11(7). 114–114. 2 indexed citations
8.
Al‐Najjar, Hazem, et al.. (2022). Developing Machine Learning Techniques to Investigate the Impact of Air Quality Indices on Tadawul Exchange Index. Complexity. 2022(1). 7 indexed citations
9.
Al‐Najjar, Hazem, et al.. (2022). Long-Term General Index Prediction Based on Feature Selection and Search Methods: Amman Stock Exchange Market. Economy of Regions. 18(4). 1301–1316. 1 indexed citations
10.
Al‐Rousan, Nadia, et al.. (2022). Machine Learning to Develop Credit Card Customer Churn Prediction. Journal of theoretical and applied electronic commerce research. 17(4). 1529–1542. 33 indexed citations
11.
Al‐Rousan, Nadia, Nor Ashidi Mat Isa, Mohd Khairunaz Mat Desa, & Hazem Al‐Najjar. (2021). Integration of logistic regression and multilayer perceptron for intelligent single and dual axis solar tracking systems. International Journal of Intelligent Systems. 36(10). 5605–5669. 22 indexed citations
12.
Al‐Najjar, Hazem, S. S. N. Alhady, Junita Mohamad–Saleh, & Nadia Al‐Rousan. (2021). Scheduling of workflow jobs based on twostep clustering and lowest job weight. Concurrency and Computation Practice and Experience. 33(20). 2 indexed citations
13.
Al‐Rousan, Nadia & Hazem Al‐Najjar. (2021). A Comparative Assessment of Time Series Forecasting Using NARX and SARIMA to Predict Hourly, Daily, and Monthly Global Solar Radiation Based on Short-Term Dataset. Arabian Journal for Science and Engineering. 46(9). 8827–8848. 8 indexed citations
14.
Al‐Rousan, Nadia & Hazem Al‐Najjar. (2021). Optimizing the performance of MLP and SVR predictors based on logical oring and experimental ranking equation. Journal of the Chinese Institute of Engineers. 44(2). 149–157. 9 indexed citations
15.
Al‐Najjar, Hazem, et al.. (2021). Impact of COVID-19 pandemic virus on G8 countries’ financial indices based on artificial neural network. Journal of Chinese Economic and Foreign Trade Studies. 14(1). 89–103. 22 indexed citations
16.
Al‐Rousan, Nadia, Hazem Al‐Najjar, & Osama Ahmad Alomari. (2021). Assessment of predicting hourly global solar radiation in Jordan based on Rules, Trees, Meta, Lazy and Function prediction methods. Sustainable Energy Technologies and Assessments. 44. 100923–100923. 24 indexed citations
17.
Al‐Rousan, Nadia, Nor Ashidi Mat Isa, & Mohd Khairunaz Mat Desa. (2020). Correlation analysis and MLP / CMLP for optimum variables to predict orientation and tilt angles in intelligent solar tracking systems. International Journal of Energy Research. 45(1). 453–477. 21 indexed citations
18.
Al‐Rousan, Nadia & Hazem Al‐Najjar. (2020). Data analysis of coronavirus COVID‐19 epidemic in South Korea based on recovered and death cases. Journal of Medical Virology. 92(9). 1603–1608. 33 indexed citations
19.
Al‐Rousan, Nadia & Hazem Al‐Najjar. (2020). Is visiting Qom spread CoVID-19 epidemic in the Middle East?. PubMed. 24(10). 5813–5818. 12 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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