Amr Jamal

80 papers receiving 2.2k citations

Hit Papers

Middle East Respiratory Syndrome-Corona Virus (MERS-CoV) associated stress among medical students at a university teaching hospital in Saudi Arabia 2020 · 361 citations
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Peers

Amr Jamal
Comparison fields: 5 of 137
  • Health Informatics 307
  • Health 364
  • Clinical Psychology 856
  • General Health Professions 766
  • Modeling and Simulation 120
Replace Ayman Al‐Eyadhy with:
Ayman Al‐Eyadhy Saudi Arabia
Giang Thu Vu Vietnam
Ala’a B. Al‐Tammemi Jordan
Basema Saddik Saudi Arabia
Nina Schwalbe United States
Natasha Azzopardi‐Muscat Denmark
Gareth Iacobucci
Samia Hurst Switzerland
The Lancet South Africa
Centaine L. Snoswell Australia
Amr Jamal relative to Ayman Al‐Eyadhy Saudi Arabia Ayman Al‐Eyadhy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amr Jamal

Since Specialization
Citations

This map shows the geographic impact of Amr Jamal'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 Amr Jamal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amr Jamal more than expected).

Fields of papers citing papers by Amr Jamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amr Jamal. 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 Amr Jamal. The network helps show where Amr Jamal may publish in the future.

Co-authors

The 25 scholars most cited alongside Amr Jamal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amr Jamal Line = papers co-authored together Amr Jamal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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5 2023112
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8 202218
9 202253
10 202234
11 20219
12 20214
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15 202130
16 202150
17 20210
18 202114
19 202039
20 201917

About Amr Jamal

Amr Jamal is a scholar working on Health Informatics, Health Information Management, Health, General Health Professions and Family Practice, having authored 84 papers that have together received 2.3k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (17 papers), Mobile Health and mHealth Applications (13 papers), COVID-19 and Mental Health (12 papers), COVID-19 diagnosis using AI (10 papers), Healthcare professionals’ stress and burnout (8 papers), COVID-19 Pandemic Impacts (7 papers), Vaccine Coverage and Hesitancy (7 papers) and Machine Learning in Healthcare (7 papers). The work is most often cited by research in Health Informatics (307 citations), Health (364 citations), Clinical Psychology (856 citations), General Health Professions (766 citations) and Modeling and Simulation (120 citations). Amr Jamal has collaborated with scholars based in Saudi Arabia, United States and United Arab Emirates. Frequent co-authors include Mohamad‐Hani Temsah, Ayman Al‐Eyadhy, Fahad Alsohime, Sarah Alsubaie, Ali M. Somily, Ali Alhaboob, Khalid Alhasan, Abdulkarim Alrabiaah, Fadi Aljamaan and Gamal Hasan. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Public Health, International Journal of Medical Informatics, Medicine and Computer Methods and Programs in Biomedicine.

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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