Dmitriy Dligach
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Machine Learning in Healthcare
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Machine Learning in Healthcare 46
- Natural Language Processing Techniques 22
- Topic Modeling 15
- Machine Learning and Algorithms 4
- Neurology 19
- Intracranial Aneurysms: Treatment and Complications 19
- Co-authors
- Guergana Savova (48 shared papers)Timothy A. Miller (40 shared papers)Martha Stone Palmer (15 shared papers)Steven J. Bethard (19 shared papers)Chen Lin (16 shared papers)Majid Afshar (40 shared papers)Sameer Pradhan (4 shared papers)Edward Loper (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (16 papers)Scientific Reports (5 papers)Journal of Biomedical Informatics (5 papers)Stroke (4 papers)Neurology (3 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Dmitriy Dligach
105 papers receiving 2.6k citations
Dmitriy Dligach's Hit Papers
Peers
Comparison fields: 5 of 102
- Health Informatics 379
- Artificial Intelligence 1.3k
- Neurology 404
- Health Information Management 249
- Molecular Biology 545
Countries citing papers authored by Dmitriy Dligach
This map shows the geographic impact of Dmitriy Dligach'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 Dmitriy Dligach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitriy Dligach more than expected).
Fields of papers citing papers by Dmitriy Dligach
This network shows the impact of papers produced by Dmitriy Dligach. 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 Dmitriy Dligach. The network helps show where Dmitriy Dligach may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitriy Dligach, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 234 | |
| 2 | The TRIPOD-LLM reporting guideline for studies using large language models Hit paper breakdown → | 2025 | 232 |
| 3 | 2013 | 116 | |
| 4 | 2017 | 115 | |
| 5 | 2013 | 96 | |
| 6 | 2016 | 84 | |
| 7 | 2017 | 83 | |
| 8 | 2019 | 80 | |
| 9 | 2013 | 78 | |
| 10 | 2018 | 73 | |
| 11 | 2018 | 66 | |
| 12 | 2014 | 63 | |
| 13 | 2021 | 63 | |
| 14 | 2019 | 61 | |
| 15 | 2015 | 52 | |
| 16 | 2020 | 46 | |
| 17 | 2018 | 45 | |
| 18 | 2024 | 44 | |
| 19 | 2017 | 42 | |
| 20 | 2019 | 40 |
About Dmitriy Dligach
Dmitriy Dligach is a scholar working on Artificial Intelligence, Neurology, Health Informatics, Molecular Biology and Health Information Management, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (46 papers), Biomedical Text Mining and Ontologies (30 papers), Natural Language Processing Techniques (22 papers), Intracranial Aneurysms: Treatment and Complications (19 papers), Topic Modeling (15 papers), Artificial Intelligence in Healthcare and Education (9 papers), Machine Learning and Algorithms (4 papers) and Opioid Use Disorder Treatment (4 papers). The work is most often cited by research in Health Informatics (379 citations), Artificial Intelligence (1.3k citations), Neurology (404 citations), Health Information Management (249 citations) and Molecular Biology (545 citations). Dmitriy Dligach has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Guergana Savova, Timothy A. Miller, Martha Stone Palmer, Steven J. Bethard, Chen Lin, Majid Afshar, Sameer Pradhan, Edward Loper, Nancy A. Shadick and Vivian S. Gainer. Their work appears in journals such as Journal of the American Medical Informatics Association, Scientific Reports, Journal of Biomedical Informatics, Stroke and Neurology.
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.