Riad Alharbey

859 total citations
26 papers, 480 citations indexed

About

Riad Alharbey is a scholar working on Artificial Intelligence, General Health Professions and Computer Networks and Communications. According to data from OpenAlex, Riad Alharbey has authored 26 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in General Health Professions and 4 papers in Computer Networks and Communications. Recurrent topics in Riad Alharbey's work include Mobile Health and mHealth Applications (6 papers), Artificial Intelligence in Healthcare (3 papers) and Video Surveillance and Tracking Methods (3 papers). Riad Alharbey is often cited by papers focused on Mobile Health and mHealth Applications (6 papers), Artificial Intelligence in Healthcare (3 papers) and Video Surveillance and Tracking Methods (3 papers). Riad Alharbey collaborates with scholars based in Saudi Arabia, Pakistan and China. Riad Alharbey's co-authors include Zahid Mehmood, Tanzila Saba, Kanwal Yousaf, Ameen Banjar, Ali Daud, Asmaa Munshi, Amal Bukhari, Samir Chatterjee, Amjad Rehman and Muhammad Rashid and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Riad Alharbey

26 papers receiving 457 citations

Peers

Riad Alharbey

CVPR

RNMI

GHP

Gorka Epelde Spain

Olga Štěpánková Czechia

Tanvi Banerjee United States

Randi Karlsen Norway

Eloisa Vargiu Italy

Belkacem Chikhaoui Canada

Nishant Singh India

Dong-Hoon Shin South Korea

Jamil Hussain South Korea

Ashwin Belle United States

Gorka Epelde Spain

Riad Alharbey

236 ×1.9

58 ×0.8

CVPR

29 ×0.4

RNMI

29 ×0.4

29 ×0.5

GHP

Citations per year, relative to Riad Alharbey Riad Alharbey (= 1×) peers Gorka Epelde

Countries citing papers authored by Riad Alharbey

Since Specialization

Citations

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

Fields of papers citing papers by Riad Alharbey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riad Alharbey

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

Alshdadi, Abdulrahman A., Abdulwahab Ali Almazroi, Nasir Ayub, et al.. (2025). Federated Deep Learning for Scalable and Privacy-Preserving Distributed Denial-of-Service Attack Detection in Internet of Things Networks. Future Internet. 17(2). 88–88. 2 indexed citations

Alharbey, Riad, et al.. (2025). An enhanced deep learning approach for speaker diarization using TitaNet, MarbelNet and time delay network. Scientific Reports. 15(1). 24501–24501. 1 indexed citations

Mahmood, Saba, et al.. (2024). A Lightweight and Secure Authentication Scheme for Remote Monitoring of Patients in IoMT. IEEE Access. 12. 73004–73020. 8 indexed citations

Badshah, Afzal, et al.. (2024). Big data applications: overview, challenges and future. Artificial Intelligence Review. 57(11). 12 indexed citations

Javed, Rabia, et al.. (2024). Deep learning for lungs cancer detection: a review. Artificial Intelligence Review. 57(8). 44 indexed citations

Abbas, Tahir, Ali Haider Khan, Ali Daud, et al.. (2024). IoMT-Based Healthcare Systems: A Review. Computer Systems Science and Engineering. 0(0). 1–10. 6 indexed citations

Alharbey, Riad, et al.. (2024). Digital twin technology for enhanced smart grid performance: integrating sustainability, security, and efficiency. Frontiers in Energy Research. 12. 5 indexed citations

Daud, Ali, et al.. (2023). A deep co-evolution architecture for anomaly detection in dynamic networks. Multimedia Tools and Applications. 83(14). 40489–40508. 2 indexed citations

Alharbey, Riad, et al.. (2022). Fatigue State Detection for Tired Persons in Presence of Driving Periods. IEEE Access. 10. 79403–79418. 23 indexed citations

10.

Alharbey, Riad. (2022). Integrative adoption model for personal health records: A structural equation modeling approach. International Journal of ADVANCED AND APPLIED SCIENCES. 9(1). 117–127. 1 indexed citations

11.

Alharbey, Riad, et al.. (2022). Indexing important drugs from medical literature. Scientometrics. 127(5). 2661–2681. 4 indexed citations

12.

Dawood, Hussain, et al.. (2021). An Efficient SMOTE-Based Deep Learning Model for Heart Attack Prediction. Scientific Programming. 2021. 1–12. 54 indexed citations

13.

Alharbey, Riad, et al.. (2020). The Effect of a Customized Nutrient-Profiling Approach on the Glycated Hemoglobin Levels of Patients With Type 2 Diabetes: Quasi-Experimental Study. Journal of Medical Internet Research. 22(5). e15497–e15497. 2 indexed citations

14.

Yousaf, Kanwal, Zahid Mehmood, Tanzila Saba, et al.. (2019). Mobile-Health Applications for the Efficient Delivery of Health Care Facility to People with Dementia (PwD) and Support to Their Carers: A Survey. BioMed Research International. 2019. 1–26. 74 indexed citations

15.

Alharbey, Riad & Samir Chatterjee. (2019). An mHealth Assistive System “MyLung” to Empower Patients with Chronic Obstructive Pulmonary Disease: Design Science Research. JMIR Formative Research. 3(1). e12489–e12489. 22 indexed citations

16.

Habib, Hafiz Adnan, et al.. (2019). Single Image Dehazing and Edge Preservation Based on the Dark Channel Probability‐Weighted Moments. Mathematical Problems in Engineering. 2019(1). 11 indexed citations

17.

Nadeem, Malik Sajjad Ahmed, et al.. (2019). Accuracy Rejection Normalized-Cost Curves (ARNCCs): A Novel 3-Dimensional Framework for Robust Classification. IEEE Access. 7. 160125–160143. 6 indexed citations

18.

Yousaf, Kanwal, et al.. (2019). A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD). Health Care Management Science. 23(2). 287–309. 80 indexed citations

19.

Ghazanfar, Mustansar Ali, et al.. (2019). Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems. PLoS ONE. 14(8). e0220129–e0220129. 31 indexed citations

20.

Alharbey, Riad. (2016). Predictive Analytics Dashboard for Monitoring Patients in Advanced Stages of COPD. 3455–3461. 8 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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