Mark E. Frisse

3.9k citations
74 papers · 2.5k indexed · 1 hit paper · h-index 20

Mark E. Frisse

73 papers receiving 2.4k citations

Hit Papers

Precision Medicine, AI, and the Future of Personalized He...8372020202620222024250500750

Peers

Mark E. Frisse
Comparison fields: 5 of 178
  • Health Informatics 306
  • Health Information Management 690
  • Medical Terminology 16
  • Organizational Behavior and Human Resource Management 439
  • Family Practice 48
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Citations per field
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Citations per year

Countries citing papers authored by Mark E. Frisse

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Frisse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark E. Frisse. 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 Mark E. Frisse. The network helps show where Mark E. Frisse may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20181
2 20164
3 2011187
4 2011102
5 201141
6 200757
7 200785
8 19989
9 199610
10
The Impact of Data Sharing on Data Quality
19951
11 19957
12 199515
13 199512
14 199316
15 19928
16
Automated Interpretation of Diabetes Patient Data: Detecting Temporal Changes in Insulin Therapy.
199012
17
Query Networks for Medical Information Retrieval-Assigning Probabilistic Relationships
19905
18
Query by Browsing: An Alternative Hypertext Information Retrieval Method.
19893
19 198924
20
From text to hypertext
198818

About Mark E. Frisse

Mark E. Frisse is a scholar working on Health Information Management, Medical Terminology, Organizational Behavior and Human Resource Management, Information Systems and Management and Geriatrics and Gerontology, having authored 74 papers that have together received 2.5k indexed citations. Recurring topics across this work include Electronic Health Records Systems (23 papers), Healthcare Systems and Technology (15 papers), Health Sciences Research and Education (11 papers), Semantic Web and Ontologies (7 papers), Biomedical Text Mining and Ontologies (6 papers), Medical Coding and Health Information (6 papers), Data Quality and Management (4 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). The work is most often cited by research in Health Informatics (306 citations), Health Information Management (690 citations), Medical Terminology (16 citations), Organizational Behavior and Human Resource Management (439 citations) and Family Practice (48 citations). Mark E. Frisse has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Kevin B. Johnson, Karl E. Misulis, Dilhan Weeraratne, Juan Zhao, Jane Snowdon, Kyu Rhee, Wei‐Qi Wei, W. Robert Scheidt, Steve Cousins and James E. Bailey. Their work appears in journals such as Academic Medicine, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Health Affairs and PEDIATRICS.

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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