Thomas Dakin

15 papers receiving 997 citations

Thomas Dakin's Hit Papers

Health literacy and disparities in COVID-19–related knowledge, attitudes, beliefs and behaviours in Australia 2020 · 203 citations
2030+2+4Years since publication50100150200

Peers

Thomas Dakin
Comparison fields: 5 of 101
  • Health 401
  • Modeling and Simulation 90
  • Infectious Diseases 168
  • General Health Professions 153
  • Clinical Psychology 113
Replace Jennifer Isautier with:
Jennifer Isautier Australia
Samuel Cornell Australia
Carys Batcup Australia
Rachael N. Piltch-Loeb United States
Marta Fadda Switzerland
Basmattee Boodram United States
Mohammad Sharif Razai United Kingdom
Gloria J. Kang United States
Katrine Bach Habersaat Denmark
Jessica Jaiswal United States
Thomas Dakin relative to Jennifer Isautier Australia Jennifer Isautier's profile →
Citations per field
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Jennifer Isautier · 1×
Citations per year

Countries citing papers authored by Thomas Dakin

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Dakin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2020233
2
Health literacy and disparities in COVID-19–related knowledge, attitudes, beliefs and behaviours in Australia
Hit paper breakdown →
2020203
3 2020167
4 2020135
5 2020125
6 202142
7 196928
8 202123
9 202320
10 201817
11 202113
12 19678
13 20224
14 19673
15 19852
16 20250

About Thomas Dakin

Thomas Dakin is a scholar working on Health, Astronomy and Astrophysics, Materials Chemistry, Modeling and Simulation and General Health Professions, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (4 papers), Vaccine Coverage and Hesitancy (2 papers), Power Transformer Diagnostics and Insulation (2 papers), Misinformation and Its Impacts (2 papers), Lightning and Electromagnetic Phenomena (2 papers), COVID-19 epidemiological studies (1 paper), Primary Care and Health Outcomes (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Health (401 citations), Modeling and Simulation (90 citations), Infectious Diseases (168 citations), General Health Professions (153 citations) and Clinical Psychology (113 citations). Thomas Dakin has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Kirsten J. MCCAFFERY, Brooke Nickel, Tessa Copp, Samuel Cornell, Erin Cvejic, Julie Ayre, Rachael Helen Dodd, Jennifer Isautier, Carissa Bonner and Kristen Pickles. Their work appears in journals such as BMJ Open, The Lancet Infectious Diseases, Journal of Medical Internet Research, The Medical Journal of Australia and Health Promotion Journal of Australia.

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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