Dmitry Dymshyts
Impact in
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- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Electronic Health Records Systems
Papers in
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- Cancer Genomics and Diagnostics 2
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- Biomedical Text Mining and Ontologies 1
- Co-authors
- Christian Reich (4 shared papers)Anna Ostropolets (2 shared papers)Patrick Ryan (1 shared paper)Martijn J. Schuemie (1 shared paper)Alexander Davydov (1 shared paper)Peter Rijnbeek (1 shared paper)George Hripcsak (1 shared paper)Andrew E. Williams (2 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Journal of Biomedical Informatics (1 paper)Healthcare Informatics Research (1 paper)Studies in health technology and informatics (1 paper)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Dmitry Dymshyts
4 papers receiving 108 citations
Dmitry Dymshyts's Hit Papers
Peers
Comparison fields: 5 of 39
- Health Informatics 5
- Health Information Management 12
- Medical Laboratory Technology 1
- Toxicology 2
- Artificial Intelligence 17
Countries citing papers authored by Dmitry Dymshyts
This map shows the geographic impact of Dmitry Dymshyts'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 Dmitry Dymshyts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Dymshyts more than expected).
Fields of papers citing papers by Dmitry Dymshyts
This network shows the impact of papers produced by Dmitry Dymshyts. 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 Dmitry Dymshyts. The network helps show where Dmitry Dymshyts may publish in the future.
Co-authors
The 19 scholars most cited alongside Dmitry Dymshyts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | OHDSI Standardized Vocabularies—a large-scale centralized reference ontology for international data harmonization Hit paper breakdown → | 2024 | 53 |
| 2 | 2019 | 36 | |
| 3 | 2021 | 13 | |
| 4 | 2019 | 7 |
About Dmitry Dymshyts
Dmitry Dymshyts is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Management Science and Operations Research, having authored 4 papers that have together received 109 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Lung Cancer Treatments and Mutations (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Health Informatics (5 citations), Health Information Management (12 citations), Medical Laboratory Technology (1 citation), Toxicology (2 citations) and Artificial Intelligence (17 citations). Dmitry Dymshyts has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Christian Reich, Anna Ostropolets, Patrick Ryan, Martijn J. Schuemie, Alexander Davydov, Peter Rijnbeek, George Hripcsak, Andrew E. Williams, Rimma Belenkaya and Michael Gurley. Their work appears in journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Healthcare Informatics Research and Studies in health technology and informatics.
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.