Redhwan Nour

779 total citations
12 papers, 529 citations indexed

About

Redhwan Nour is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Redhwan Nour has authored 12 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Health Information Management and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Redhwan Nour's work include Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (3 papers) and Imbalanced Data Classification Techniques (3 papers). Redhwan Nour is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Machine Learning in Healthcare (3 papers) and Imbalanced Data Classification Techniques (3 papers). Redhwan Nour collaborates with scholars based in Saudi Arabia, China and Pakistan. Redhwan Nour's co-authors include Adeeb Noor, Yongjian Liao, Liaqat Ali, Noorbakhsh Amiri Golilarz, Shijie Zhou, Ashir Javeed, Javed Ali Khan, Xingzhong Xiong, Syed Bukhari and Rui Wang and has published in prestigious journals such as IEEE Access, Sustainability and Neurocomputing.

In The Last Decade

Redhwan Nour

12 papers receiving 480 citations

Peers

Redhwan Nour

HIM

AI

CCM

CNC

RNMI

Richa Sharma India

Yongjian Liao China

Pooja Rani India

Abhijith Reddy Beeravolu Australia

S. K. Srivatsa India

Ashok Ghatol India

Shahana Shultana Bangladesh

Abdus Saboor China

K. Saruladha India

Shaik Razia India

Richa Sharma India

Redhwan Nour

199 ×0.7

HIM

132 ×0.6

AI

42 ×0.5

CCM

62 ×0.8

CNC

32 ×0.5

RNMI

Citations per year, relative to Redhwan Nour Redhwan Nour (= 1×) peers Richa Sharma

Countries citing papers authored by Redhwan Nour

Since Specialization

Citations

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

Fields of papers citing papers by Redhwan Nour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Redhwan Nour

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

All Works

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12 of 12 papers shown

1.

Ali, Liaqat, Man-Fai Leung, Muhammad Asghar Khan, et al.. (2025). ChiGa-Net: A genetically optimized neural network with refined deeply extracted features using χ2 statistical score for trustworthy Parkinson’s disease detection. Neurocomputing. 624. 129450–129450. 2 indexed citations

2.

Javeed, Ashir, Liaqat Ali, Redhwan Nour, Adeeb Noor, & Noorbakhsh Amiri Golilarz. (2025). Handwriting-Based Detection of Schizophrenia and Bipolar Disorder Using Machine Learning. IEEE Sensors Journal. 25(5). 9113–9120. 2 indexed citations

3.

Nour, Redhwan. (2022). An Assessment of Accessibility and Usability of Saudi Online FinTech Services for People with Disabilities. Computational and Mathematical Methods in Medicine. 2022. 1–9. 3 indexed citations

4.

Nour, Redhwan. (2022). Enhancing the Logistics 4.0 Firms through Information Technology. Sustainability. 14(23). 15860–15860. 4 indexed citations

5.

Mir, Javid Iqbal, et al.. (2021). COVID-19 related treatment and outcomes among COVID-19 ICU patients: A retrospective cohort study. Journal of Infection and Public Health. 14(9). 1274–1278. 5 indexed citations

6.

Noor, Adeeb, et al.. (2020). A Novel Approach to Ensemble Classifiers: FsBoost-Based Subspace Method. Mathematical Problems in Engineering. 2020. 1–11. 4 indexed citations

7.

Noor, Adeeb, et al.. (2020). Analysis of the Stochastic Population Model with Random Parameters. Entropy. 22(5). 562–562. 6 indexed citations

8.

Ali, Liaqat, Javed Ali Khan, Noorbakhsh Amiri Golilarz, et al.. (2019). An Optimized Stacked Support Vector Machines Based Expert System for the Effective Prediction of Heart Failure. IEEE Access. 7. 54007–54014. 185 indexed citations

9.

Ali, Liaqat, Shafqat Ullah Khan, Noorbakhsh Amiri Golilarz, et al.. (2019). A Feature-Driven Decision Support System for Heart Failure Prediction Based on χ2 Statistical Model and Gaussian Naive Bayes. Computational and Mathematical Methods in Medicine. 2019. 1–8. 58 indexed citations

10.

Wang, Rui, et al.. (2019). Agent-enabled task offloading in UAV-aided mobile edge computing. Computer Communications. 149. 324–331. 55 indexed citations

11.

Javeed, Ashir, et al.. (2019). An Intelligent Learning System Based on Random Search Algorithm and Optimized Random Forest Model for Improved Heart Disease Detection. IEEE Access. 7. 180235–180243. 192 indexed citations

12.

Nour, Redhwan. (2015). Web searching by individuals with cognitive disabilities. ACM SIGACCESS Accessibility and Computing. 19–25. 13 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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