Cambray Smith

22 papers receiving 579 citations

Cambray Smith's Hit Papers

Patient apprehensions about the use of artificial intelligence in healthcare 2021 · 242 citations
2420+1+3Years since publication50100150200

Peers

Cambray Smith
Comparison fields: 5 of 98
  • Health Informatics 180
  • Speech and Hearing 58
  • Applied Psychology 31
  • Physiology 128
  • Health Information Management 23
Replace Jin-Ah Sim with:
Jin-Ah Sim South Korea
Vin Gupta United States
Adeel Khoja Pakistan
Aaron A. Tierney United States
Ahmad Khanijahani United States
Denis Roy Canada
Caroline Tietbohl United States
Clarence Jones United States
Deborah Vollmer Dahlke United States
Liesbet Van Bulck Belgium
Cambray Smith relative to Jin-Ah Sim South Korea Jin-Ah Sim's profile →
Citations per field
00.5×7.3×
Jin-Ah Sim · 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-authors

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

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Patient apprehensions about the use of artificial intelligence in healthcare
Hit paper breakdown →
2021242
2 1993109
3 199074
4 202250
5 201927
6 202020
7 202215
8 202011
9 202310
10 202110
11 201910
12 20249
13 20217
14 20207
15 20217
16 20254
17 20233
18 20253
19 20232
20 20172

About Cambray Smith

Cambray Smith is a scholar working on Physiology, General Health Professions, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 29 papers that have together received 625 indexed citations. Recurring topics across this work include Biomedical Ethics and Regulation (8 papers), Diabetes Management and Research (3 papers), Reproductive Health and Contraception (3 papers), Ethics in Clinical Research (3 papers), Pluripotent Stem Cells Research (2 papers), Biomedical and Engineering Education (2 papers), Patient-Provider Communication in Healthcare (2 papers) and Urban Green Space and Health (1 paper). The work is most often cited by research in Health Informatics (180 citations), Speech and Hearing (58 citations), Applied Psychology (31 citations), Physiology (128 citations) and Health Information Management (23 citations). Cambray Smith has collaborated with scholars based in United States, Australia and South Africa. Frequent co-authors include Don Nutbeam, John Catford, Richard R. Sharp, Susan Curtis, Jordan Richardson, Xuan Zhu, Barbara Barry, Sara Watson, Petra Macaskill and Judy M. Simpson. Their work appears in journals such as Journal of Pediatric and Adolescent Gynecology, Diabetic Medicine, Diabetes Research and Clinical Practice, Regenerative Medicine and Journal of Community Psychology.

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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