Omar Hussein Salman
- Computer Networks and Communications top 5%
- Health Information Management top 1%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 5%
- Co-authors
- B. B. ZaidanA. A. ZaidanMohammed HashimA. S. AlbahriO. S. AlbahriK. I. MohammedZahraa K. TahaShamala Subramaniam
- Topics
- Artificial Intelligence in Healthcare (8 papers)COVID-19 diagnosis using AI (8 papers)IoT and Edge/Fog Computing (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Methods and Programs in BiomedicineNeural Computing and Applications
In The Last Decade
Omar Hussein Salman
22 papers receiving 689 citations
Peers
Comparison fields: 5 of 102
- Computer Networks and Communications 204
- Health Information Management 157
- Biomedical Engineering 150
- Computer Vision and Pattern Recognition 125
- Information Systems 108
Countries citing papers authored by Omar Hussein Salman
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 14 | |
| 12 | 60 | |
| 13 | 1 | |
| 14 | 26 | |
| 15 | 13 | |
| 16 | 152 | |
| 17 | 104 | |
| 18 | 151 | |
| 19 | 89 | |
| 20 | 54 |
About Omar Hussein Salman
Omar Hussein Salman is a scholar working on Health Information Management, Health Informatics and Computer Networks and Communications, having authored 23 papers that have together received 711 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (8 papers), COVID-19 diagnosis using AI (8 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Health Information Management (157 citations), Health Informatics (27 citations) and Computer Networks and Communications (204 citations). Omar Hussein Salman has collaborated with scholars based in Iraq, Malaysia and Türkiye. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and Neural Computing and Applications.
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.