Omar Hussein Salman

956 total citations
23 papers, 711 citations indexed

About

Omar Hussein Salman is a scholar working on Biomedical Engineering, Computer Networks and Communications and Health Information Management. According to data from OpenAlex, Omar Hussein Salman has authored 23 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Computer Networks and Communications and 8 papers in Health Information Management. Recurrent topics in Omar Hussein Salman's work include Artificial Intelligence in Healthcare (8 papers), COVID-19 diagnosis using AI (8 papers) and IoT and Edge/Fog Computing (7 papers). Omar Hussein Salman is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), COVID-19 diagnosis using AI (8 papers) and IoT and Edge/Fog Computing (7 papers). Omar Hussein Salman collaborates with scholars based in Iraq, Malaysia and Türkiye. Omar Hussein Salman's co-authors include B. B. Zaidan, A. A. Zaidan, Mohammed Hashim, A. S. Albahri, O. S. Albahri, K. I. Mohammed, Zahraa K. Taha, Shamala Subramaniam, Mohd Fadlee A. Rasid and M. Iqbal Saripan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and Neural Computing and Applications.

In The Last Decade

Omar Hussein Salman

22 papers receiving 689 citations

Peers

Omar Hussein Salman

CNC

HIM

CVPR

Carolyn McGregor Canada

Mohammed Alzahrani Saudi Arabia

Athanasios Kiourtis Greece

Revathi Sundarasekar India

Argyro Mavrogiorgou Greece

A. H. Mohsin Malaysia

Nora El-Rashidy Egypt

J. García Spain

Amit Kishor India

Javad Hassannataj Joloudari Iran

Carolyn McGregor Canada

Omar Hussein Salman

276 ×1.4

CNC

229 ×1.5

HIM

208 ×1.4

211 ×1.7

CVPR

166 ×1.5

Citations per year, relative to Omar Hussein Salman Omar Hussein Salman (= 1×) peers Carolyn McGregor

Countries citing papers authored by Omar Hussein Salman

Since Specialization

Citations

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

Fields of papers citing papers by Omar Hussein Salman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omar Hussein Salman. 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 Omar Hussein Salman. The network helps show where Omar Hussein Salman may publish in the future.

Co-authorship network of co-authors of Omar Hussein Salman

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Hussein Salman. A scholar is included among the top collaborators of Omar Hussein Salman 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 Omar Hussein Salman. Omar Hussein Salman 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

Salman, Omar Hussein, et al.. (2025). A real-time web-based telemedicine framework based on AI and IoMT for emergency triage and initial diagnostics: the TeleMedQuick solution. International Journal of Medical Informatics. 204. 106074–106074. 1 indexed citations

Salman, Omar Hussein, et al.. (2025). AI-Powered IoMT Framework for Remote Triage and Diagnosis in Telemedicine Applications. SHILAP Revista de lepidopterología. 4(1). 61–76. 2 indexed citations

Ata, Oğuz, et al.. (2024). e-Diagnostic system for diabetes disease prediction on an IoMT environment-based hyper AdaBoost machine learning model. The Journal of Supercomputing. 80(11). 15664–15689. 4 indexed citations

Latiff, N. M. Abdul, et al.. (2024). Early Triage Prediction for Outpatient Care Based on Heterogeneous Medical Data Utilizing Machine Learning. Pertanika journal of science & technology. 32(5). 2343–2367.

Ata, Oğuz, et al.. (2024). Multisource Data Framework for Prehospital Emergency Triage in Real-Time IoMT-Based Telemedicine Systems. International Journal of Medical Informatics. 192. 105608–105608. 3 indexed citations

Latiff, N. M. Abdul, et al.. (2024). A hybrid computational approach to process real-time streaming multi-sources data and improve classification for emergency patients triage services: moving forward to an efficient IoMT-based real-time telemedicine systems. Neural Computing and Applications. 36(17). 10109–10122. 4 indexed citations

Salman, Omar Hussein, et al.. (2024). A systematic review on the roles of remote diagnosis in telemedicine system: Coherent taxonomy, insights, recommendations, and open research directions for intelligent healthcare solutions. Artificial Intelligence in Medicine. 160. 103057–103057. 2 indexed citations

Latiff, N. M. Abdul, et al.. (2024). Predicted Multi-Chronic Disease by Supervised Machine Learning Algorithms: Performance and Evaluation. 23(1). 55–64. 1 indexed citations

Ata, Oğuz, et al.. (2024). AI-Driven Triage: A Graph Neural Network Approach for Prehospital Emergency Triage Patients in IoMT-Based Telemedicine Systems. 1–7. 2 indexed citations

10.

Salman, Omar Hussein, et al.. (2023). Machine learning-based telemedicine framework to prioritize remote patients with multi-chronic diseases for emergency healthcare services. Network Modeling Analysis in Health Informatics and Bioinformatics. 12(1). 15 indexed citations

11.

Al‐Betar, Mohammed Azmi, et al.. (2021). Discrete flower pollination algorithm for patient admission scheduling problem. Computers in Biology and Medicine. 141. 105007–105007. 14 indexed citations

12.

Salman, Omar Hussein, et al.. (2021). A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work. Computer Methods and Programs in Biomedicine. 209. 106357–106357. 60 indexed citations

13.

Salman, Omar Hussein, et al.. (2020). Transmission of Disaster Warnings via Control Channels in Cellular Networks. SHILAP Revista de lepidopterología. 4(2020). 53–61. 1 indexed citations

14.

Salman, Omar Hussein, et al.. (2020). Reducing waiting time for remote patients in telemedicine with considering treated patients in emergency department based on body sensors technologies and hybrid computational algorithms: Toward scalable and efficient real time healthcare monitoring system. Journal of Biomedical Informatics. 112. 103592–103592. 26 indexed citations

15.

Salman, Omar Hussein, et al.. (2020). Formulating multi diseases dataset for identifying, triaging and prioritizing patients to multi medical emergency levels: Simulated dataset accompanied with codes. SHILAP Revista de lepidopterología. 34. 106576–106576. 13 indexed citations

16.

Albahri, O. S., A. S. Albahri, K. I. Mohammed, et al.. (2018). Systematic Review of Real-time Remote Health Monitoring System in Triage and Priority-Based Sensor Technology: Taxonomy, Open Challenges, Motivation and Recommendations. Journal of Medical Systems. 42(5). 80–80. 152 indexed citations

17.

Zaidan, A. A., B. B. Zaidan, Omar Hussein Salman, et al.. (2018). Based on Real Time Remote Health Monitoring Systems: A New Approach for Prioritization “Large Scales Data” Patients with Chronic Heart Diseases Using Body Sensors and Communication Technology. Journal of Medical Systems. 42(4). 69–69. 104 indexed citations

18.

Zaidan, A. A., et al.. (2017). Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology. Journal of Medical Systems. 42(2). 30–30. 151 indexed citations

19.

Salman, Omar Hussein, et al.. (2017). Novel Methodology for Triage and Prioritizing Using “Big Data” Patients with Chronic Heart Diseases Through Telemedicine Environmental. International Journal of Information Technology & Decision Making. 16(5). 1211–1245. 89 indexed citations

20.

Salman, Omar Hussein, Mohd Fadlee A. Rasid, M. Iqbal Saripan, & Shamala Subramaniam. (2014). Multi-Sources Data Fusion Framework for Remote Triage Prioritization in Telehealth. Journal of Medical Systems. 38(9). 103–103. 54 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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