Aamnah Rahman

7 papers receiving 221 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 · 184 citations
1840+1+3Years since publication50100150

Peers

Aamnah Rahman
Comparison fields: 5 of 47
  • Health 129
  • Modeling and Simulation 20
  • Sociology and Political Science 77
  • Infectious Diseases 30
  • Health Informatics 2
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Adel Mebarki France
Aghna Wasim Canada
Xiaomei Li China
Jonas Sivelä Finland
Birthe A. Lehmann Netherlands
Theresa Tang Canada
Madison M. Fullerton Canada
Sihong Zhao China
İ̇zzet Fi̇dancı Türkiye
Ingjerd Skafle Norway
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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 →
2021184
2 202216
3 202310
4 20229
5 20243
6 19923
7 20221

About Aamnah Rahman

Aamnah Rahman is a scholar working on Sociology and Political Science, Numerical Analysis, General Health Professions, Computational Mechanics and Economics and Econometrics, having authored 7 papers that have together received 226 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Heat Transfer and Numerical Methods (1 paper), Misinformation and Its Impacts (1 paper), Homelessness and Social Issues (1 paper), Delphi Technique in Research (1 paper), Children's Rights and Participation (1 paper) and Health, psychology, and well-being (1 paper). The work is most often cited by research in Health (129 citations), Modeling and Simulation (20 citations), Sociology and Political Science (77 citations), Infectious Diseases (30 citations) and Health Informatics (2 citations). Aamnah Rahman has collaborated with scholars based in United Kingdom, Norway and Netherlands. Frequent co-authors include Shahid Islam, Rosemary McEachan, Bridget Lockyer, Kate E. Pickett, John Wright, Josie Dickerson, T. Sheldon, Laura Sheard, Nicholas Pleace and Christopher Cartwright. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMC Medical Research Methodology, Research Involvement and Engagement, International Journal for Equity in Health 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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