Hussein Al Osman
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Co-authors
- Abdulmotaleb El SaddikMohamad EidShervin ShirmohammadiHaiwei DongMajdi RawashdehMohammed F. AlhamidIsar NejadgholiM. Shamim Hossain
- Topics
- Image and Video Quality Assessment (9 papers)Emotion and Mood Recognition (8 papers)Heart Rate Variability and Autonomic Control (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of the Acoustical Society of AmericaIEEE Access
- Partner nations
- CanadaUnited StatesUnited Arab Emirates
In The Last Decade
Hussein Al Osman
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 327
- Biomedical Engineering 269
- Cardiology and Cardiovascular Medicine 267
- Computer Vision and Pattern Recognition 183
- Human-Computer Interaction 179
Countries citing papers authored by Hussein Al Osman
This map shows the geographic impact of Hussein Al Osman'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 Hussein Al Osman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hussein Al Osman more than expected).
Fields of papers citing papers by Hussein Al Osman
This network shows the impact of papers produced by Hussein Al Osman. 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 Hussein Al Osman. The network helps show where Hussein Al Osman may publish in the future.
Co-authorship network of co-authors of Hussein Al Osman
This figure shows the co-authorship network connecting the top 25 collaborators of Hussein Al Osman. A scholar is included among the top collaborators of Hussein Al Osman 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 Hussein Al Osman. Hussein Al Osman 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 | 9 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 33 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 2 | |
| 16 | 19 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 5 | |
| 20 | 8 |
About Hussein Al Osman
Hussein Al Osman is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (9 papers), Emotion and Mood Recognition (8 papers) and Heart Rate Variability and Autonomic Control (8 papers). The work is most often cited by research in Human-Computer Interaction (179 citations), Cognitive Neuroscience (327 citations) and Cardiology and Cardiovascular Medicine (267 citations). Hussein Al Osman has collaborated with scholars based in Canada, United States and United Arab Emirates. Frequent co-authors include Abdulmotaleb El Saddik, Mohamad Eid, Shervin Shirmohammadi, Haiwei Dong, Majdi Rawashdeh, Mohammed F. Alhamid, Isar Nejadgholi, M. Shamim Hossain, Maha Abdallah and M.M. Fahmy. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of the Acoustical Society of America and IEEE Access.
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.