Tyson Roffey

7 papers receiving 319 citations

Peers

Tyson Roffey
Comparison fields: 5 of 64
  • Health Informatics 25
  • Health Information Management 36
  • Artificial Intelligence 219
  • Public Health, Environmental and Occupational Health 116
  • Medical Terminology 1
Replace Florian Kohlmayer with:
Florian Kohlmayer Germany
Angelica Neisa Canada
Zhiyu Wan United States
Güneş Koru United States
Jean Charlet France
Pedro Vieira‐Marques Portugal
Christopher Kotfila United States
Laura Stoutenborough United States
Bill Fitzgerald
Wolfgang Kuchinke Germany
Tyson Roffey relative to Florian Kohlmayer Germany Florian Kohlmayer's profile →
Citations per field
00.5×1.5×2.0×
Florian Kohlmayer · 1×
Citations per year

Countries citing papers authored by Tyson Roffey

Since Specialization
Citations

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

Fields of papers citing papers by Tyson Roffey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Tyson Roffey, 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 Tyson Roffey Line = papers co-authored together Tyson Roffey links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2009153
2 201262
3 200944
4 201530
5 201027
6 201615
7 20125

About Tyson Roffey

Tyson Roffey is a scholar working on Public Health, Environmental and Occupational Health, Artificial Intelligence, Health Information Management, Health and General Health Professions, having authored 7 papers that have together received 336 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (3 papers), Ethics in Clinical Research (3 papers), Electronic Health Records Systems (2 papers), Patient-Provider Communication in Healthcare (1 paper), Interprofessional Education and Collaboration (1 paper), Big Data and Business Intelligence (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper) and Healthcare Policy and Management (1 paper). The work is most often cited by research in Health Informatics (25 citations), Health Information Management (36 citations), Artificial Intelligence (219 citations), Public Health, Environmental and Occupational Health (116 citations) and Medical Terminology (1 citation). Tyson Roffey has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Khaled El Emam, Fida K. Dankar, Régis Vaillancourt, Angelica Neisa, Mark Walker, Jim Bottomley, Jean‐Pierre Corriveau, Elise Cogo, Elizabeth Jonker and Daniel Amyot. Their work appears in journals such as BMC Medical Informatics and Decision Making, Medical Education, Journal of the American Medical Informatics Association, International Journal of Medical Informatics and The Canadian Journal of Hospital Pharmacy.

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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