Jamal Alhiyafi
- Artificial Intelligence top 5%
- Health Information Management top 1%
- Computer Science Applications top 5%
- Radiology, Nuclear Medicine and Imaging
- Information Systems top 10%
- Co-authors
- Sunday O. OlatunjiSaleh AlrashedAfnan AlmuhannaMaha M. AlShammariTaoreed O. OwolabiMohammed Imran Basheer AhmedKabiru O. AkandeAtta Rahman
- Topics
- AI in cancer detection (4 papers)Genomics and Phylogenetic Studies (3 papers)Artificial Intelligence in Healthcare (3 papers)
- Journals
- SensorsInternational Journal of Environmental Research and Public HealthComputers in Biology and Medicine
- Partner nations
- Saudi ArabiaUnited StatesUnited Kingdom
In The Last Decade
Jamal Alhiyafi
22 papers receiving 473 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 220
- Health Information Management 154
- Computer Science Applications 91
- Radiology, Nuclear Medicine and Imaging 78
- Information Systems 52
Countries citing papers authored by Jamal Alhiyafi
This map shows the geographic impact of Jamal Alhiyafi'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 Jamal Alhiyafi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamal Alhiyafi more than expected).
Fields of papers citing papers by Jamal Alhiyafi
This network shows the impact of papers produced by Jamal Alhiyafi. 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 Jamal Alhiyafi. The network helps show where Jamal Alhiyafi may publish in the future.
Co-authorship network of co-authors of Jamal Alhiyafi
This figure shows the co-authorship network connecting the top 25 collaborators of Jamal Alhiyafi. A scholar is included among the top collaborators of Jamal Alhiyafi 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 Jamal Alhiyafi. Jamal Alhiyafi 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 | 18 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 41 | |
| 7 | 22 | |
| 8 | 202 | |
| 9 | 5 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | Improved and Secure Differential LSB Embedding Steganography | 1 |
| 16 | 3 | |
| 17 | 6 | |
| 18 | A scientific workflow system for genomic data analysis | 2 |
| 19 | 0 | |
| 20 | 4 |
About Jamal Alhiyafi
Jamal Alhiyafi is a scholar working on Health Information Management, Hardware and Architecture and Artificial Intelligence, having authored 25 papers that have together received 495 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Genomics and Phylogenetic Studies (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Information Management (154 citations), Computer Science Applications (91 citations) and Health Informatics (20 citations). Jamal Alhiyafi has collaborated with scholars based in Saudi Arabia, United States and United Kingdom. Frequent co-authors include Sunday O. Olatunji, Saleh Alrashed, Afnan Almuhanna, Maha M. AlShammari, Taoreed O. Owolabi, Mohammed Imran Basheer Ahmed, Kabiru O. Akande, Atta Rahman, Aamir Shafi and Mohammed Salih Ahmed. Their work appears in journals such as Sensors, International Journal of Environmental Research and Public Health and Computers in Biology and Medicine.
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.