Nariman Ammar
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- Advanced Software Engineering Methodologies 6
- Privacy-Preserving Technologies in Data 3
- Logic, programming, and type systems 2
-
- Mobile Health and mHealth Applications 3
- Co-authors
- Arash Shaban‐Nejad (16 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)Zaki Malik (3 shared papers)Thomas D. LaToza (1 shared paper)
- Journals
- Frontiers in Public Health (1 paper)Blood (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)BMC Public Health (1 paper)JBI Evidence Synthesis (1 paper)
- Partner nations
- United StatesSaudi ArabiaAustralia
In The Last Decade
Nariman Ammar
30 papers receiving 298 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 9
- Health 48
- Software 14
- Artificial Intelligence 114
- Information Systems 59
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 | 126 | |
| 2 | 2021 | 44 | |
| 3 | 2023 | 31 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 9 | |
| 7 | 2010 | 9 | |
| 8 | 2012 | 9 | |
| 9 | 2020 | 7 | |
| 10 | 2012 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2010 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2019 | 3 |
About Nariman Ammar
Nariman Ammar is a scholar working on Artificial Intelligence, General Health Professions, Information Systems, Sociology and Political Science and Epidemiology, having authored 33 papers that have together received 317 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Advanced Software Engineering Methodologies (6 papers), Mobile Health and mHealth Applications (3 papers), Access Control and Trust (3 papers), Privacy-Preserving Technologies in Data (3 papers), Privacy, Security, and Data Protection (3 papers), Sepsis Diagnosis and Treatment (2 papers) and Logic, programming, and type systems (2 papers). The work is most often cited by research in Health Informatics (9 citations), Health (48 citations), Software (14 citations), Artificial Intelligence (114 citations) and Information Systems (59 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, Zaki Malik, Thomas D. LaToza, Donald D. Brown and Johanna Loomba. Their work appears in journals such as Frontiers in Public Health, Blood, IEEE Transactions on Knowledge and Data Engineering, BMC Public Health and JBI Evidence Synthesis.
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.