Mohammed Al-Zobbi
- Public Health, Environmental and Occupational Health
- General Health Professions
- Oncology
- Artificial Intelligence
- Clinical Psychology
- Co-authors
- K. I. MohammedMahmood M. SalihRula A. HamidF. M. JumaahJwan K. AlwanMohamed A. AhmedA. A. ZaidanIbraheem Y.Y. Ahmaro
- Topics
- Cryptography and Data Security (4 papers)Privacy-Preserving Technologies in Data (4 papers)Privacy, Security, and Data Protection (3 papers)
- Cited by
- Public Health, Environmental and Occupational HealthHealth InformaticsGeneral Health Professions
- Journals
- International Journal of Environmental Research and Public HealthNeural Computing and ApplicationsComputers in Biology and Medicine
- Partner nations
- AustraliaUnited Arab EmiratesTaiwan
In The Last Decade
Mohammed Al-Zobbi
7 papers receiving 297 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Public Health, Environmental and Occupational Health 118
- General Health Professions 76
- Oncology 65
- Artificial Intelligence 48
- Clinical Psychology 45
Countries citing papers authored by Mohammed Al-Zobbi
This map shows the geographic impact of Mohammed Al-Zobbi'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 Mohammed Al-Zobbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Al-Zobbi more than expected).
Fields of papers citing papers by Mohammed Al-Zobbi
This network shows the impact of papers produced by Mohammed Al-Zobbi. 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 Mohammed Al-Zobbi. The network helps show where Mohammed Al-Zobbi may publish in the future.
Co-authorship network of co-authors of Mohammed Al-Zobbi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Al-Zobbi. A scholar is included among the top collaborators of Mohammed Al-Zobbi 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 Mohammed Al-Zobbi. Mohammed Al-Zobbi 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 | Telehealth utilization during the Covid-19 pandemic: A systematic reviewbreakdown → | 242 |
| 3 | 25 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | Comparison Between Ipv4 And Ipv6 In Adopting Differentiated Services. | 0 |
About Mohammed Al-Zobbi
Mohammed Al-Zobbi is a scholar working on Modeling and Simulation, Obstetrics and Gynecology and Artificial Intelligence, having authored 8 papers that have together received 303 indexed citations. Recurring topics across this work include Cryptography and Data Security (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Privacy, Security, and Data Protection (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (118 citations), Health Informatics (5 citations) and General Health Professions (76 citations). Mohammed Al-Zobbi has collaborated with scholars based in Australia, United Arab Emirates and Taiwan. Frequent co-authors include K. I. Mohammed, Mahmood M. Salih, Rula A. Hamid, F. M. Jumaah, Jwan K. Alwan, Mohamed A. Ahmed, A. A. Zaidan, Ibraheem Y.Y. Ahmaro, Moceheb Lazam Shuwandy and A. H. Alamoodi. Their work appears in journals such as International Journal of Environmental Research and Public Health, Neural Computing and Applications 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.