Ammar Elhassan
- Health Informatics top 5%
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- Online Learning and Analytics 5
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- Generative Adversarial Networks and Image Synthesis 2
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 3
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- Network Security and Intrusion Detection 3
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- Artificial Intelligence in Healthcare 3
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- Advanced Malware Detection Techniques 3
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- SARS-CoV-2 and COVID-19 Research 2
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- Software Engineering Research 2
- Co-authors
- Moussa AyyashDriss BenhaddouKashif AhmadAla Al‐FuqahaJunaid QadirWaleed IqbalMohammad Al-Fawa’rehRawan Ghnemat
- Partner nations
- JordanSaudi ArabiaPakistan
In The Last Decade
Ammar Elhassan
23 papers receiving 310 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 23
- Computer Science Applications 68
- Computer Vision and Pattern Recognition 97
- Software 15
- Artificial Intelligence 101
Countries citing papers authored by Ammar Elhassan
This map shows the geographic impact of Ammar Elhassan'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 Ammar Elhassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ammar Elhassan more than expected).
Fields of papers citing papers by Ammar Elhassan
This network shows the impact of papers produced by Ammar Elhassan. 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 Ammar Elhassan. The network helps show where Ammar Elhassan may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Ammar Elhassan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 77 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 26 | |
| 7 | 2022 | 6 | |
| 8 | A Model for Estimating the Scope of the Project: A Pilot Study | 2021 | 1 |
| 9 | 2021 | 2 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 41 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 2019 | 1 | |
| 18 | 2016 | 11 | |
| 19 | 2015 | 3 | |
| 20 | 2014 | 0 |
About Ammar Elhassan
Ammar Elhassan is a scholar working on Computer Science Applications, Health Information Management and Modeling and Simulation, having authored 30 papers that have together received 338 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Network Security and Intrusion Detection (3 papers), Artificial Intelligence in Healthcare (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Malware Detection Techniques (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Health Informatics (23 citations), Computer Science Applications (68 citations) and Computer Vision and Pattern Recognition (97 citations). Ammar Elhassan has collaborated with scholars based in Jordan, Saudi Arabia and Pakistan. Frequent co-authors include Moussa Ayyash, Driss Benhaddou, Kashif Ahmad, Ala Al‐Fuqaha, Junaid Qadir, Waleed Iqbal, Mohammad Al-Fawa’reh, Rawan Ghnemat, Jaafar Alghazo and Ghazanfar Latif. Their work appears in journals such as IEEE Access, Applied Sciences and Heliyon.
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.