Ryan Spaulding

21 papers receiving 775 citations

Ryan Spaulding's Hit Papers

Attachment and trust in artificial intelligence 2020 · 286 citations
2860+2+4Years since publication50100150200250

Peers

Ryan Spaulding
Comparison fields: 5 of 100
  • Applied Psychology 103
  • Health Informatics 21
  • Safety Research 98
  • Public Health, Environmental and Occupational Health 211
  • Information Systems and Management 45
Replace Anne Moorhead with:
Anne Moorhead United Kingdom
Sijia Yang United States
Karen L. Courtney United States
Marianne Promberger United Kingdom
Emma Norris United Kingdom
Christo El Morr Canada
Rupa S. Valdez United States
Ruth A. Childs Canada
Scott Monteith United States
Aisling Ann O’Kane United Kingdom
Ryan Spaulding relative to Anne Moorhead United Kingdom Anne Moorhead's profile →
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Citations per year

Countries citing papers authored by Ryan Spaulding

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Spaulding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Attachment and trust in artificial intelligence
Hit paper breakdown →
2020286
2 2011128
3 201582
4 201054
5 201044
6 200530
7 200923
8 200623
9 201020
10 201418
11 200418
12 201116
13 201415
14 201514
15 202011
16 200810
17 20219
18 20058
19 20208
20 20203

About Ryan Spaulding

Ryan Spaulding is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Clinical Psychology, Physiology and Oncology, having authored 21 papers that have together received 821 indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (9 papers), Mobile Health and mHealth Applications (4 papers), Health Policy Implementation Science (2 papers), Adolescent and Pediatric Healthcare (2 papers), COVID-19 and healthcare impacts (2 papers), Healthcare Systems and Technology (2 papers), Smoking Behavior and Cessation (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Applied Psychology (103 citations), Health Informatics (21 citations), Safety Research (98 citations), Public Health, Environmental and Occupational Health (211 citations) and Information Systems and Management (45 citations). Ryan Spaulding has collaborated with scholars based in United States, Vietnam and Italy. Frequent co-authors include Shawn Keshmiri, Ting Ai, Omri Gillath, Robert B. Davison, Michael S. Branicky, Gary C. Doolittle, Arthur R. Williams, Stephen A. DeLurgio, Carol E. Smith and David J. Cook. Their work appears in journals such as Journal of Telemedicine and Telecare, Telemedicine Journal and e-Health, Research in Nursing & Health, CIN Computers Informatics Nursing and Contemporary Clinical Trials.

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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