Cambray Smith

20 papers receiving 522 citations

Hit Papers

Patient apprehensions about the use of artificial intelligence in healthcare 2021 · 216 citations
216202120262022202450100150200

Peers

Cambray Smith
Comparison fields: 5 of 102
  • Health Informatics 180
  • Speech and Hearing 71
  • Applied Psychology 40
  • General Health Professions 154
  • Health Information Management 27
Replace Randi Zlotnik Shaul with:
Randi Zlotnik Shaul Canada
Simon Stones United Kingdom
Liesbet Van Bulck Belgium
Denis Roy Canada
Adeel Khoja Pakistan
Paige Nong United States
Robert W. Turer United States
John‐Arne Skolbekken Norway
Moustaq Karim Khan Rony Bangladesh
Vin Gupta United States
Cambray Smith relative to Randi Zlotnik Shaul Canada Randi Zlotnik Shaul's profile →
Citations per field
00.5×6.5×
Randi Zlotnik Shaul · 1×
Citations per year

Countries citing papers authored by Cambray Smith

Since Specialization
Citations

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

Fields of papers citing papers by Cambray Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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Patient apprehensions about the use of artificial intelligence in healthcare
Hit paper breakdown →
2021216
16 20218
17 20207
18 202019
19 202010
20 20172

About Cambray Smith

Cambray Smith is a scholar working on Health Informatics, General Health Professions, Public Health, Environmental and Occupational Health, Physiology and Speech and Hearing, having authored 26 papers that have together received 560 indexed citations. Recurring topics across this work include Biomedical Ethics and Regulation (8 papers), Ethics in Clinical Research (6 papers), Diabetes Management and Research (4 papers), Pluripotent Stem Cells Research (3 papers), Chronic Disease Management Strategies (3 papers), Reproductive Health and Contraception (3 papers), Biomedical and Engineering Education (2 papers) and Diabetes Management and Education (2 papers). The work is most often cited by research in Health Informatics (180 citations), Speech and Hearing (71 citations), Applied Psychology (40 citations), General Health Professions (154 citations) and Health Information Management (27 citations). Cambray Smith has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include John Catford, Don Nutbeam, Richard R. Sharp, Jordan Richardson, Susan Curtis, Barbara Barry, Xuan Zhu, Sara Watson, Petra Macaskill and Judy M. Simpson. Their work appears in journals such as Diabetes Research and Clinical Practice, Regenerative Medicine, Diabetic Medicine, Journal of Pediatric and Adolescent Gynecology and JNCI Journal of the National Cancer Institute.

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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