Evan Minty
Impact in
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- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
- Health Informatics top 10%
Papers in ⓘ
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- Medical Coding and Health Information 3
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- Pressure Ulcer Prevention and Management 3
- Co-authors
- Timothy E. Sweeney (2 shared papers)Nigam H. Shah (2 shared papers)Tanya Podchiyska (1 shared paper)Vibhu Agarwal (1 shared paper)Juan M. Banda (1 shared paper)Veena Goel (1 shared paper)Tiffany I. Leung (1 shared paper)Thorarin A. Bjarnason (1 shared paper)
- Journals
- Sensors (2 papers)Frontiers in Pharmacology (2 papers)Journal of the American Medical Informatics Association (2 papers)JMIR mhealth and uhealth (1 paper)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Evan Minty
19 papers receiving 290 citations
Peers
Comparison fields: 5 of 93
- Health Information Management 62
- Health Informatics 17
- Artificial Intelligence 113
- Radiology, Nuclear Medicine and Imaging 53
- Occupational Therapy 9
Countries citing papers authored by Evan Minty
This map shows the geographic impact of Evan Minty'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 Evan Minty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Minty more than expected).
Fields of papers citing papers by Evan Minty
This network shows the impact of papers produced by Evan Minty. 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 Evan Minty. The network helps show where Evan Minty may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Minty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 96 | |
| 2 | 2014 | 44 | |
| 3 | 2009 | 39 | |
| 4 | 2020 | 22 | |
| 5 | 2018 | 17 | |
| 6 | 2020 | 12 | |
| 7 | 2023 | 10 | |
| 8 | 2013 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2021 | 4 | |
| 15 | Characterizing database granularity using SNOMED-CT hierarchy. | 2020 | 4 |
| 16 | Predicting patients who are likely to develop Lupus Nephritis of those newly diagnosed with Systemic Lupus Erythematosus. | 2022 | 3 |
| 17 | 2023 | 2 | |
| 18 | 2018 | 2 | |
| 19 | Visualization of Publication Timelines using 4K Monitors. | 2014 | 1 |
| 20 | 2025 | 0 |
About Evan Minty
Evan Minty is a scholar working on Health Information Management, Occupational Therapy, Rehabilitation, Health and Toxicology, having authored 21 papers that have together received 296 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Medical Coding and Health Information (3 papers), Influenza Virus Research Studies (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Vaccine Coverage and Hesitancy (3 papers), Pressure Ulcer Prevention and Management (3 papers), Wound Healing and Treatments (3 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Health Information Management (62 citations), Health Informatics (17 citations), Artificial Intelligence (113 citations), Radiology, Nuclear Medicine and Imaging (53 citations) and Occupational Therapy (9 citations). Evan Minty has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Timothy E. Sweeney, Nigam H. Shah, Tanya Podchiyska, Vibhu Agarwal, Juan M. Banda, Veena Goel, Tiffany I. Leung, Thorarin A. Bjarnason, Cornelia Laule and Alex L. MacKay. Their work appears in journals such as Sensors, Frontiers in Pharmacology, Journal of the American Medical Informatics Association, JMIR mhealth and uhealth and Magnetic Resonance in Medicine.
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.