Huda Eid

7 papers receiving 895 citations

Huda Eid's Hit Papers

High Rates of COVID-19 Vaccine Hesitancy and Its Association with Conspiracy Beliefs: A Study in Jordan and Kuwait among Other Arab Countries 2021 · 499 citations
4990+1+3Years since publication100200300400

Peers

Huda Eid
Comparison fields: 5 of 61
  • Health 622
  • Modeling and Simulation 125
  • Infectious Diseases 298
  • Virology 39
  • Health Informatics 10
Replace Deema Dababseh with:
Deema Dababseh Jordan
Duaa Taim Jordan
Ayat Al-Haidar Jordan
Odile Launay France
Giovanna Failla Italy
Drew A. Westmoreland United States
Sean J. Lawrence United States
Ariane Petit United Kingdom
Lauren Rauh United States
Lucy Jenner United Kingdom
Huda Eid relative to Deema Dababseh Jordan Deema Dababseh's profile →
Citations per field
00.5×
Deema Dababseh · 1×
Citations per year

Countries citing papers authored by Huda Eid

Since Specialization
Citations

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

Fields of papers citing papers by Huda Eid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
High Rates of COVID-19 Vaccine Hesitancy and Its Association with Conspiracy Beliefs: A Study in Jordan and Kuwait among Other Arab Countries
Hit paper breakdown →
2021499
2 2021148
3 2020119
4 202153
5 202252
6 202223
7 202416
8 20250

About Huda Eid

Huda Eid is a scholar working on Health, Infectious Diseases, Sociology and Political Science, Health Informatics and Epidemiology, having authored 8 papers that have together received 910 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Misinformation and Its Impacts (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Poxvirus research and outbreaks (1 paper), Influenza Virus Research Studies (1 paper), Hepatitis B Virus Studies (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Health (622 citations), Modeling and Simulation (125 citations), Infectious Diseases (298 citations), Virology (39 citations) and Health Informatics (10 citations). Huda Eid has collaborated with scholars based in Jordan, Sweden and Indonesia. Frequent co-authors include Malik Sallam, Azmi Mahafzah, Nidaa A. Ababneh, Faris G. Bakri, Ayat Al-Haidar, Duaa Taim, Alaa’ Yaseen, Deema Dababseh, Kholoud Al-Mahzoum and Areej M. Assaf. Their work appears in journals such as Vaccines, Tropical Medicine and Infectious Disease, International Journal of Environmental Research and Public Health, PLoS ONE and Advances in Medical Education and Practice.

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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