David Douglas

46 papers receiving 582 citations

Peers

David Douglas
Comparison fields: 5 of 123
  • Health Informatics 40
  • Safety Research 81
  • Family Practice 15
  • Geriatrics and Gerontology 22
  • Health Information Management 27
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Yuri Quintana United States
Blake Murdoch Canada
Kim Huat Goh Singapore
Maia Jacobs United States
Enrico Maria Piras Italy
Martina Raue United States
Alison Cawsey United Kingdom
Sylvie Delacroix United Kingdom
Stathis Konstantinidis United Kingdom
Nadine Bienefeld Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by David Douglas

Since Specialization
Citations

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

Fields of papers citing papers by David Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016121
2 196771
3
Principles Of Community Psychology: Perspectives And Applications
200556
4 202355
5 200941
6 200928
7
Disseminating context-specific access to online knowledge resources within electronic health record systems.
201327
8
Citizen Engineer: A Handbook for Socially Responsible Engineering
200924
9 202321
10 201712
11 202212
12 201512
13 201110
14 20149
15 20229
16 20189
17 20249
18 20229
19
Assessing Faculty Perceptions and Techniques to Combat Academic Dishonesty in Online Courses
20168
20 20118

About David Douglas

David Douglas is a scholar working on Artificial Intelligence, Safety Research, Information Systems, Health Informatics and Sociology and Political Science, having authored 50 papers that have together received 645 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Adversarial Robustness in Machine Learning (5 papers), Privacy, Security, and Data Protection (4 papers), Electronic Health Records Systems (3 papers), Information and Cyber Security (3 papers), Social Media and Politics (3 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). The work is most often cited by research in Health Informatics (40 citations), Safety Research (81 citations), Family Practice (15 citations), Geriatrics and Gerontology (22 citations) and Health Information Management (27 citations). David Douglas has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Jonathan Watt, Justine Lacey, David A. Dorr, Blake Lesselroth, Andreas Duenser, Conrad Sanderson, Jon Whittle, David Howard, Qinghua Lu and Emma Schleiger. Their work appears in journals such as Ethics and Information Technology, Science and Engineering Ethics, IEEE Intelligent Systems, The Joint Commission Journal on Quality and Patient Safety and AI & Society.

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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