Aamnah Rahman

491 citations
7 papers · 219 · 1 hit paper · h-index 4

Impact in

Papers in

Aamnah Rahman

7 papers receiving 215 citations

Aamnah Rahman's Hit Papers

Understanding COVID‐19 misinformation and vaccine hesitancy in context: Findings from a qualitative study involving citizens in Bradford, UK 2021 · 180 citations
1800+1+3Years since publication50100150

Peers

Aamnah Rahman
Comparison fields: 5 of 53
  • Health 142
  • Modeling and Simulation 33
  • Infectious Diseases 59
  • Sociology and Political Science 102
  • Clinical Psychology 34
Replace Aghna Wasim with:
Aghna Wasim Canada
Stephen Reicher United Kingdom
Theresa Tang Canada
Jonas Sivelä Finland
Madison M. Fullerton Canada
Birthe A. Lehmann Netherlands
Ingjerd Skafle Norway
Adel Mebarki France
SarahAnn M. McFadden United States
Philip Joseph D Sarmiento Philippines
Aamnah Rahman relative to Aghna Wasim Canada Aghna Wasim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aamnah Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Aamnah Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Understanding COVID‐19 misinformation and vaccine hesitancy in context: Findings from a qualitative study involving citizens in Bradford, UK
Hit paper breakdown →
2021180
2 202216
3 20238
4 20228
5 19923
6 20243
7 20221

About Aamnah Rahman

Aamnah Rahman is a scholar working on General Health Professions, Sociology and Political Science, Numerical Analysis, Health and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 219 indexed citations. Recurring topics across this work include Health Policy Implementation Science (3 papers), Mental Health and Patient Involvement (3 papers), Community Health and Development (1 paper), Delphi Technique in Research (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Health, psychology, and well-being (1 paper), Misinformation and Its Impacts (1 paper) and Heat Transfer and Numerical Methods (1 paper). The work is most often cited by research in Health (142 citations), Modeling and Simulation (33 citations), Infectious Diseases (59 citations), Sociology and Political Science (102 citations) and Clinical Psychology (34 citations). Aamnah Rahman has collaborated with scholars based in United Kingdom, Netherlands and Australia. Frequent co-authors include Shahid Islam, Rosemary McEachan, Bridget Lockyer, T. Sheldon, Kate E. Pickett, John Wright, Laura Sheard, Josie Dickerson, Marcella Ucci and Nicola Christie. Their work appears in journals such as International Journal of Environmental Research and Public Health, International Journal for Equity in Health, Research Involvement and Engagement, BMC Medical Research Methodology and Health Expectations.

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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