Muna Barakat

2.7k citations
101 papers · 1.3k indexed · 2 hit papers · h-index 15

Impact in

Papers in

Muna Barakat

88 papers receiving 1.3k citations

Hit Papers

ChatGPT applications in medical, dental, pharmacy, and public health education: A descriptive study highlighting the advantages and limitations 2023 · 187 citations
187202320262024202550100150

Peers

Muna Barakat
Comparison fields: 5 of 146
  • Health Informatics 363
  • Applied Microbiology and Biotechnology 63
  • Geriatrics and Gerontology 75
  • Family Practice 40
  • Computer Science Applications 75
Replace Diana Malaeb with:
Diana Malaeb Lebanon
Abdulkareem Albekairy Saudi Arabia
Nathan Peiffer‐Smadja France
Izet Mašić Bosnia and Herzegovina
Sahar S. Alghamdi Saudi Arabia
Ana Luísa Neves United Kingdom
Walter H. Curioso Peru
Abeed Sarker United States
Chris Paton United Kingdom
Md Anwarul Azim Majumder Barbados
Muna Barakat relative to Diana Malaeb Lebanon Diana Malaeb's profile →
Citations per field
00.5×3.4×
Diana Malaeb · 1×
Citations per year

Countries citing papers authored by Muna Barakat

Since Specialization
Citations

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

Fields of papers citing papers by Muna Barakat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muna Barakat, 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 Muna Barakat Line = papers co-authored together Muna Barakat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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About Muna Barakat

Muna Barakat is a scholar working on Health Informatics, Applied Microbiology and Biotechnology, Geriatrics and Gerontology, Family Practice and Health, having authored 101 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (16 papers), Pharmaceutical Practices and Patient Outcomes (11 papers), Vaccine Coverage and Hesitancy (9 papers), Artificial Intelligence in Healthcare and Education (9 papers), Misinformation and Its Impacts (7 papers), Antibiotic Use and Resistance (6 papers), Smoking Behavior and Cessation (5 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Health Informatics (363 citations), Applied Microbiology and Biotechnology (63 citations), Geriatrics and Gerontology (75 citations), Family Practice (40 citations) and Computer Science Applications (75 citations). Muna Barakat has collaborated with scholars based in Jordan, United Arab Emirates and United Kingdom. Frequent co-authors include Malik Sallam, Ala’a B. Al‐Tammemi, Nesreen A. Salim, Souheil Hallit, Asma Ismail Mahmod, Wamidh H. Talib, Ahmad R. Alsayed, Rabih Hallit, May Abu‐Taha and Rana Abu Farha. Their work appears in journals such as PLoS ONE, Pharmacy Practice, Scientific Reports, Frontiers in Public Health and Frontiers in Neurology.

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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