Hussain AlSalman
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Biomedical Engineering
- Co-authors
- Abdu GumaeiMohammad Mehedi HassanAbdulhameed AlelaiwiMabrook Al‐RakhamiSyed Sajid UllahKhalil El HindiSk. Md. Mizanur RahmanFarhan Amin
- Topics
- Multi-Criteria Decision Making (8 papers)AI in cancer detection (8 papers)IoT and Edge/Fog Computing (7 papers)
- Cited by
- Health Information ManagementArtificial IntelligenceManagement Science and Operations Research
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- Saudi ArabiaPakistanYemen
In The Last Decade
Hussain AlSalman
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 332
- Computer Networks and Communications 170
- Computer Vision and Pattern Recognition 166
- Information Systems 148
- Biomedical Engineering 137
Countries citing papers authored by Hussain AlSalman
This map shows the geographic impact of Hussain AlSalman'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 Hussain AlSalman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hussain AlSalman more than expected).
Fields of papers citing papers by Hussain AlSalman
This network shows the impact of papers produced by Hussain AlSalman. 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 Hussain AlSalman. The network helps show where Hussain AlSalman may publish in the future.
Co-authorship network of co-authors of Hussain AlSalman
This figure shows the co-authorship network connecting the top 25 collaborators of Hussain AlSalman. A scholar is included among the top collaborators of Hussain AlSalman 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 Hussain AlSalman. Hussain AlSalman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 54 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | 34 | |
| 17 | 62 | |
| 18 | 18 | |
| 19 | 39 | |
| 20 | 25 |
About Hussain AlSalman
Hussain AlSalman is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (8 papers), AI in cancer detection (8 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Health Information Management (49 citations), Artificial Intelligence (332 citations) and Management Science and Operations Research (124 citations). Hussain AlSalman has collaborated with scholars based in Saudi Arabia, Pakistan and Yemen. Frequent co-authors include Abdu Gumaei, Mohammad Mehedi Hassan, Abdulhameed Alelaiwi, Mabrook Al‐Rakhami, Syed Sajid Ullah, Khalil El Hindi, Sk. Md. Mizanur Rahman, Farhan Amin, Glenn Hardaker and Atika Qazi. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.