John Mattison

21 papers receiving 731 citations

Peers

John Mattison
Comparison fields: 5 of 105
  • Health Information Management 266
  • Issues, ethics and legal aspects 25
  • Health Informatics 18
  • Medical Terminology 2
  • Artificial Intelligence 182
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Countries citing papers authored by John Mattison

Since Specialization
Citations

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

Fields of papers citing papers by John Mattison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001301
2 2015158
3 201643
4 201740
5
HL7 document patient record architecture: an XML document architecture based on a shared information model.
199936
6
Part-of-speech tagging for clinical text: wall or bridge between institutions?
201127
7 202223
8
Naming notes: transitions from free text to structured entry.
199521
9 199820
10
The Department of Veterans Affairs, Department of Defense, and Kaiser Permanente Nationwide Health Information Network exchange in San Diego: patient selection, consent, and identity matching.
201119
11
SGML and XML as interchange formats for HL7 messages.
199817
12
SGML as a message interchange format in healthcare.
199715
13 202214
14 20236
15 20186
16
Computer-facilitated collaboration: experiences building SNOMED-RT.
19986
17 19986
18 20143
19 20173
20 20042

About John Mattison

John Mattison is a scholar working on Health Information Management, Molecular Biology, General Health Professions, Artificial Intelligence and Infectious Diseases, having authored 22 papers that have together received 767 indexed citations. Recurring topics across this work include Electronic Health Records Systems (9 papers), Biomedical Text Mining and Ontologies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Semantic Web and Ontologies (3 papers), Mental Health and Psychiatry (2 papers), Mental Health and Patient Involvement (2 papers), Healthcare Systems and Technology (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Health Information Management (266 citations), Issues, ethics and legal aspects (25 citations), Health Informatics (18 citations), Medical Terminology (2 citations) and Artificial Intelligence (182 citations). John Mattison has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert H. Dolin, Liora Alschuler, Paul V. Biron, Daniel Essin, Eliot Kimber, Calvin E Beebe, Tania M. Lincoln, Thomas H. Payne, Clement J. McDonald and William M. Tierney. Their work appears in journals such as Journal of the American Medical Informatics Association, Frontiers in Immunology, npj Digital Medicine, Journal of Digital Imaging and Behaviour and Information Technology.

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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