Susan Curtis

623 citations
13 papers · 352 indexed · 1 hit paper · h-index 8
Topics
Artificial Intelligence in Healthcare and Education (6 papers)Ethics in Clinical Research (5 papers)BRCA gene mutations in cancer (3 papers)
Partner nations
United States

In The Last Decade

Susan Curtis

13 papers receiving 343 citations

Hit Papers

Patient apprehensions about the use of artificial intelli...2021202620222024202150100150200

Peers

Susan Curtis
Comparison fields: 5 of 83
  • Health Informatics 205
  • Public Health, Environmental and Occupational Health 113
  • General Health Professions 73
  • Radiology, Nuclear Medicine and Imaging 56
  • Artificial Intelligence 53
Replace Sara Watson with:
Sara Watson United States
Regina G. Russell United States
Seyyedeh Fatemeh Mousavi Baigi Iran
Yves Saint James Aquino Australia
Mst. Rina Parvin Bangladesh
Guy Mole United Kingdom
Joschka Haltaufderheide Germany
Barron L. Patterson United States
Christine Buchanan Canada
Marieke Bak Netherlands
Susan Curtis relative to Sara Watson United States Sara Watson's profile →
Citations per field
00.5×1.5×1.8×
Sara Watson · 1×
Citations per year

Countries citing papers authored by Susan Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Susan Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Curtis. A scholar is included among the top collaborators of Susan Curtis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susan Curtis. Susan Curtis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 9
2 1
3 24
4 11
5 9
6 44
7
Patient apprehensions about the use of artificial intelligence in healthcarebreakdown →
216
8 2
9 3
10 4
11 5
12 8
13 16

About Susan Curtis

Susan Curtis is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health and General Health Professions, having authored 13 papers that have together received 352 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Ethics in Clinical Research (5 papers) and BRCA gene mutations in cancer (3 papers). The work is most often cited by research in Health Informatics (205 citations), Health Information Management (28 citations) and Safety Research (38 citations). Susan Curtis has collaborated with scholars based in United States. Frequent co-authors include Richard R. Sharp, Barbara Barry, Xuan Zhu, Jordan Richardson, Cambray Smith, Sara Watson, Amelia Barwise, Joel E. Pacyna, Daniel A. Diedrich and Brian W. Pickering. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Academy of Child & Adolescent Psychiatry and Journal of General Internal Medicine.

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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