A. S. Albahri
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Management Science and Operations Research top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- O. S. AlbahriA. A. ZaidanB. B. ZaidanA. H. AlamoodiM. A. AlsalemK. I. MohammedRula A. HamidLaith Alzubaidi
- Topics
- Multi-Criteria Decision Making (33 papers)IoT and Edge/Fog Computing (17 papers)COVID-19 diagnosis using AI (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
A. S. Albahri
161 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Artificial Intelligence 1.9k
- Computer Networks and Communications 1.2k
- Information Systems 1.1k
- Management Science and Operations Research 1.1k
- Computer Vision and Pattern Recognition 882
Countries citing papers authored by A. S. Albahri
This map shows the geographic impact of A. S. Albahri'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 A. S. Albahri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. S. Albahri more than expected).
Fields of papers citing papers by A. S. Albahri
This network shows the impact of papers produced by A. S. Albahri. 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 A. S. Albahri. The network helps show where A. S. Albahri may publish in the future.
Co-authorship network of co-authors of A. S. Albahri
This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Albahri. A scholar is included among the top collaborators of A. S. Albahri 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 A. S. Albahri. A. S. Albahri 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 | 19 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | A systematic review of trustworthy artificial intelligence applications in natural disastersbreakdown → | 78 |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 25 | |
| 13 | 16 | |
| 14 | 19 | |
| 15 | 16 | |
| 16 | 20 | |
| 17 | A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusionbreakdown → | 372 |
| 18 | 15 | |
| 19 | 25 | |
| 20 | 56 |
About A. S. Albahri
A. S. Albahri is a scholar working on Health Informatics, Management Science and Operations Research and Health Information Management, having authored 166 papers that have together received 7.5k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (33 papers), IoT and Edge/Fog Computing (17 papers) and COVID-19 diagnosis using AI (16 papers). The work is most often cited by research in Health Informatics (365 citations), Health Information Management (446 citations) and Management Science and Operations Research (1.1k citations). A. S. Albahri has collaborated with scholars based in Iraq, Malaysia and Jordan. Frequent co-authors include O. S. Albahri, A. A. Zaidan, B. B. Zaidan, A. H. Alamoodi, M. A. Alsalem, K. I. Mohammed, Rula A. Hamid, Laith Alzubaidi, Alhamzah Alnoor and A. H. Mohsin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.