John Mattison

23 papers receiving 813 citations

Peers

John Mattison
Comparison fields: 5 of 107
  • Health Information Management 312
  • Issues, ethics and legal aspects 28
  • Medical Terminology 4
  • Health Informatics 19
  • Artificial Intelligence 205
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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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001348
2 2015174
3 201651
4 201741
5
HL7 document patient record architecture: an XML document architecture based on a shared information model.
199939
6
Part-of-speech tagging for clinical text: wall or bridge between institutions?
201128
7
Naming notes: transitions from free text to structured entry.
199527
8 202223
9 199821
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.
201120
11
SGML and XML as interchange formats for HL7 messages.
199819
12
SGML as a message interchange format in healthcare.
199715
13 202214
14 19987
15 20236
16 20186
17 20156
18
Computer-facilitated collaboration: experiences building SNOMED-RT.
19986
19 20144
20 20043

About John Mattison

John Mattison is a scholar working on Health Information Management, Molecular Biology, Artificial Intelligence, General Health Professions and Infectious Diseases, having authored 25 papers that have together received 863 indexed citations. Recurring topics across this work include Electronic Health Records Systems (11 papers), Biomedical Text Mining and Ontologies (5 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), Topic Modeling (2 papers) and Healthcare Systems and Technology (2 papers). The work is most often cited by research in Health Information Management (312 citations), Issues, ethics and legal aspects (28 citations), Medical Terminology (4 citations), Health Informatics (19 citations) and Artificial Intelligence (205 citations). John Mattison has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert H. Dolin, Paul V. Biron, Liora Alschuler, Daniel Essin, Calvin E Beebe, Eliot Kimber, Tania M. Lincoln, Sarah Corley, Clement J. McDonald and William M. Tierney. Their work appears in journals such as Journal of the American Medical Informatics Association, Frontiers in Immunology, Behaviour and Information Technology, Journal of Digital Imaging and The Journal of Clinical Pharmacology.

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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