Heather Ames

36 papers receiving 793 citations

Hit Papers

Purposive sampling in a qualitative evidence synthesis: a worked example from a synthesis on parental perceptions of vaccination communication 2019 · 305 citations
3050+3+6Years since publication100200300

Peers

Heather Ames
Comparison fields: 5 of 148
  • Health 233
  • Health Informatics 21
  • Business and International Management 15
  • Modeling and Simulation 34
  • Statistics, Probability and Uncertainty 47
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Countries citing papers authored by Heather Ames

Since Specialization
Citations

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

Fields of papers citing papers by Heather Ames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Purposive sampling in a qualitative evidence synthesis: a worked example from a synthesis on parental perceptions of vaccination communication
Hit paper breakdown →
2019305
2
Factors affecting the implementation of childhood vaccination communication strategies in Nigeria: a qualitative study
Hit paper breakdown →
201782
3 201169
4 201737
5 201735
6 202233
7 201633
8 202023
9 200820
10 201719
11 202217
12 201515
13 201714
14 201513
15 201712
16 20129
17 20189
18 20089
19 20218
20 20218

About Heather Ames

Heather Ames is a scholar working on Health, Electrical and Electronic Engineering, Cognitive Neuroscience, General Health Professions and Sociology and Political Science, having authored 39 papers that have together received 821 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (11 papers), Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (7 papers), Health Policy Implementation Science (6 papers), Delphi Technique in Research (5 papers), Neural Networks and Applications (5 papers), Meta-analysis and systematic reviews (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Health (233 citations), Health Informatics (21 citations), Business and International Management (15 citations), Modeling and Simulation (34 citations) and Statistics, Probability and Uncertainty (47 citations). Heather Ames has collaborated with scholars based in Norway, Australia and South Africa. Frequent co-authors include Claire Glenton, Simon Lewin, Xavier Bosch‐Capblanch, Gabriel Rada, Artur Manuel Muloliwa, Sophie Hill, Julie Cliff, Jessica Kaufman, Yuri Cartier and Afiong Oku. Their work appears in journals such as BMC Public Health, Journal of Clinical Epidemiology, International Journal of Qualitative Methods, Global Health Action and The Journal of the Acoustical Society of America.

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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