Nariman Ammar

1.7k total citations
33 papers, 296 citations indexed

About

Nariman Ammar is a scholar working on Artificial Intelligence, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Nariman Ammar has authored 33 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in General Health Professions and 6 papers in Sociology and Political Science. Recurrent topics in Nariman Ammar's work include Software Engineering Research (6 papers), Advanced Software Engineering Methodologies (6 papers) and Mobile Health and mHealth Applications (4 papers). Nariman Ammar is often cited by papers focused on Software Engineering Research (6 papers), Advanced Software Engineering Methodologies (6 papers) and Mobile Health and mHealth Applications (4 papers). Nariman Ammar collaborates with scholars based in United States, Saudi Arabia and Australia. Nariman Ammar's co-authors include Arash Shaban‐Nejad, Olufunto A. Olusanya, Chad Melton, Abdelmounaam Rezgui, Marwan Abi-Antoun, Robert L. Davis, Thomas D. LaToza, Zaki Malik, Robert A. Bednarczyk and Elisa Bertino and has published in prestigious journals such as Blood, International Journal of Radiation Oncology*Biology*Physics and IEEE Access.

In The Last Decade

Nariman Ammar

29 papers receiving 277 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nariman Ammar United States 8 125 98 60 59 42 33 296
Neal Shah United States 12 85 0.7× 149 1.5× 92 1.5× 53 0.9× 108 2.6× 20 507
Matthew Nali United States 9 88 0.7× 182 1.9× 46 0.8× 50 0.8× 86 2.0× 26 357
Luigi De Angelis Italy 8 194 1.6× 52 0.5× 19 0.3× 20 0.3× 45 1.1× 24 564
Christophe Gaudet-Blavignac Switzerland 8 102 0.8× 30 0.3× 25 0.4× 13 0.2× 31 0.7× 36 310
Michaela Hardt United States 4 253 2.0× 63 0.6× 32 0.5× 14 0.2× 46 1.1× 5 659
Kellia Chiu Australia 7 31 0.2× 109 1.1× 128 2.1× 27 0.5× 71 1.7× 19 491
Ari Z Klein United States 14 208 1.7× 72 0.7× 38 0.6× 52 0.9× 53 1.3× 38 474
Francesco Baglivo Italy 6 194 1.6× 50 0.5× 19 0.3× 21 0.4× 26 0.6× 15 520
Héctor Flórez Colombia 7 27 0.2× 32 0.3× 41 0.7× 9 0.2× 22 0.5× 18 229
Janani Kalyanam United States 6 65 0.5× 59 0.6× 69 1.1× 21 0.4× 97 2.3× 9 289

Countries citing papers authored by Nariman Ammar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nariman Ammar

This figure shows the co-authorship network connecting the top 25 collaborators of Nariman Ammar. A scholar is included among the top collaborators of Nariman Ammar 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 Nariman Ammar. Nariman Ammar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Prasad, R. N. V., et al.. (2024). Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review. JMIR Pediatrics and Parenting. 7. e58403–e58403. 4 indexed citations
2.
Shaban‐Nejad, Arash, Nariman Ammar, Fekede Asefa Kumsa, et al.. (2024). Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. Studies in health technology and informatics. 310. 1501–1502. 1 indexed citations
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Hill, Elaine, Hemalkumar B. Mehta, Suchetha Sharma, et al.. (2023). Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study. BMC Public Health. 23(1). 2103–2103. 25 indexed citations
5.
Bidwell, Jonathan, et al.. (2023). Ochsner Emergency Department Overcrowding Scale (OEDOCS): predicting Emergency Department crowding among diverse academic hospital settings. PubMed Central.
6.
Rezgui, Abdelmounaam, et al.. (2023). Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning. 1–4. 1 indexed citations
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Kumsa, Fekede Asefa, et al.. (2023). A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine. Studies in health technology and informatics. 309. 3–7.
9.
Ammar, Nariman, et al.. (2022). An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model. JMIR Formative Research. 6(7). e36055–e36055. 9 indexed citations
10.
Ammar, Nariman, Daniel V. Wakefield, Maria Pisu, et al.. (2022). Defining Radiation Treatment Interruption Rates During the COVID-19 Pandemic: Findings From an Academic Center in an Underserved Urban Setting. International Journal of Radiation Oncology*Biology*Physics. 116(2). 379–393. 2 indexed citations
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Ammar, Nariman, et al.. (2021). Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation. JMIR Medical Informatics. 9(5). e21347–e21347. 41 indexed citations
14.
Melton, Chad, Olufunto A. Olusanya, Nariman Ammar, & Arash Shaban‐Nejad. (2021). Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence. Journal of Infection and Public Health. 14(10). 1505–1512. 121 indexed citations
15.
Olusanya, Olufunto A., Nariman Ammar, Robert L. Davis, Robert A. Bednarczyk, & Arash Shaban‐Nejad. (2021). A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers. Frontiers in Digital Health. 3. 683161–683161. 9 indexed citations
16.
Ammar, Nariman, et al.. (2021). SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs). 2021 IEEE International Conference on Big Data (Big Data). 5843–5847. 4 indexed citations
17.
Ammar, Nariman, James E. Bailey, Robert L. Davis, & Arash Shaban‐Nejad. (2020). The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information. Studies in health technology and informatics. 270. 448–452. 7 indexed citations
18.
Sayyad, Abdel Salam, et al.. (2017). YAFA-SOA: A GA-Based Optimizer for Optimizing Security and Cost in Service Compositions. 127. 330–337. 3 indexed citations
19.
Ammar, Nariman. (2016). Dynamic privacy management in services-based interactions. Human Biology. 1 indexed citations
20.
Ammar, Nariman, Zaki Malik, Elisa Bertino, & Abdelmounaam Rezgui. (2015). XACML Policy Evaluation with Dynamic Context Handling. IEEE Transactions on Knowledge and Data Engineering. 27(9). 2575–2588. 6 indexed citations

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.

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