Nada Abdelmagid

448 citations
18 papers · 213 indexed · h-index 8
Topics
Vaccine Coverage and Hesitancy (6 papers)COVID-19 epidemiological studies (5 papers)Viral Infections and Outbreaks Research (5 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaBMC Public Health

In The Last Decade

Nada Abdelmagid

17 papers receiving 208 citations

Peers

Nada Abdelmagid
Comparison fields: 5 of 78
  • General Health Professions 67
  • Health 46
  • Clinical Psychology 40
  • Sociology and Political Science 40
  • Infectious Diseases 37
Replace Arianna Maever L. Amit with:
Arianna Maever L. Amit Philippines
Rajeeb Kumar Sah United Kingdom
Germán Guerra Mexico
Farrukh Ishaque Saah Ghana
Rocío Sáenz Costa Rica
Ourohiré Millogo Burkina Faso
Joanne Flavel Australia
Veincent Christian Filipino Pepito Philippines
Kent Jason G. Cheng United States
Seema Mohapatra United States
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Citations per field
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Arianna Maever L. Amit · 1×
Citations per year

Countries citing papers authored by Nada Abdelmagid

Since Specialization
Citations

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

Fields of papers citing papers by Nada Abdelmagid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Abdelmagid

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 1
3 9
4 3
5 0
6 4
7 1
8 4
9 3
10 6
11 12
12 7
13 9
14 12
15 119
16 6
17 7
18 9

About Nada Abdelmagid

Nada Abdelmagid is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 18 papers that have together received 213 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (6 papers), COVID-19 epidemiological studies (5 papers) and Viral Infections and Outbreaks Research (5 papers). The work is most often cited by research in Health (46 citations), Modeling and Simulation (23 citations) and General Health Professions (67 citations). Nada Abdelmagid has collaborated with scholars based in United Kingdom, Sudan and Australia. Frequent co-authors include Bernadette Hensen, Musonda Simwinga, Constancia Mavodza, Helen A. Weiss, Aoife M. Doyle, Francesco Checchi, Chris Bonell, Constance Mackworth-Young, Maysoon Dahab and Sylvia Garry. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and BMC Public Health.

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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