Nariman Ammar
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Advanced Software Engineering Methodologies 6
- Privacy-Preserving Technologies in Data 3
- Machine Learning in Healthcare 3
-
- Mobile Health and mHealth Applications 4
- Co-authors
- Arash Shaban‐Nejad (17 shared papers)Olufunto A. Olusanya (4 shared papers)Chad Melton (3 shared papers)Abdelmounaam Rezgui (5 shared papers)Marwan Abi-Antoun (5 shared papers)Robert L. Davis (3 shared papers)Thomas D. LaToza (1 shared paper)Zaki Malik (3 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Blood (1 paper)BMC Public Health (1 paper)IEEE Access (1 paper)
- Partner nations
- United StatesSaudi ArabiaAustralia
In The Last Decade
Nariman Ammar
29 papers receiving 277 citations
Peers
Comparison fields: 5 of 77
- Health Informatics 10
- Health 59
- Artificial Intelligence 125
- Software 14
- Health Information Management 13
Countries citing papers authored by Nariman Ammar
This map shows the geographic impact of Nariman Ammar'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 Nariman Ammar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nariman Ammar more than expected).
Fields of papers citing papers by Nariman Ammar
This network shows the impact of papers produced by Nariman Ammar. 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 Nariman Ammar. The network helps show where Nariman Ammar may publish in the future.
Co-authors
The 25 scholars most cited alongside Nariman Ammar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2021 | 41 | |
| 3 | 2023 | 25 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 9 | |
| 6 | 2010 | 9 | |
| 7 | 2012 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2012 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2010 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Nariman Ammar
Nariman Ammar is a scholar working on Artificial Intelligence, General Health Professions, Sociology and Political Science, Information Systems and Epidemiology, having authored 33 papers that have together received 296 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (6 papers), Software Engineering Research (6 papers), Mobile Health and mHealth Applications (4 papers), Privacy-Preserving Technologies in Data (3 papers), Access Control and Trust (3 papers), Privacy, Security, and Data Protection (3 papers), Machine Learning in Healthcare (3 papers) and Healthcare Technology and Patient Monitoring (2 papers). The work is most often cited by research in Health Informatics (10 citations), Health (59 citations), Artificial Intelligence (125 citations), Software (14 citations) and Health Information Management (13 citations). Nariman Ammar has collaborated with scholars based in United States, Saudi Arabia and Australia. Frequent co-authors include Arash Shaban‐Nejad, Olufunto A. Olusanya, Chad Melton, Abdelmounaam Rezgui, Marwan Abi-Antoun, Robert L. Davis, Thomas D. LaToza, Zaki Malik, Elisa Bertino and Robert A. Bednarczyk. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, International Journal of Radiation Oncology*Biology*Physics, Blood, BMC Public Health 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.