Dmitry Tuzoff
Impact in
- Oral Surgery top 2%
- Dental Radiography and Imaging
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Dental Radiography and Imaging 6
- Endodontics and Root Canal Treatments 1
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- Radiomics and Machine Learning in Medical Imaging 2
- Radiology practices and education 2
- Co-authors
- Lyudmila Tuzova (4 shared papers)Sergey Nikolenko (1 shared paper)Michael M. Bornstein (2 shared papers)А. С. Краснов (1 shared paper)Donald A. Tyndall (3 shared papers)Peter Z. Tawil (2 shared papers)André Mol (3 shared papers)Falk Schwendicke (1 shared paper)
- Journals
- Dentomaxillofacial Radiology (3 papers)The Journal of the American Dental Association (1 paper)Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (1 paper)International journal of medical and health sciences (1 paper)
- Partner nations
- RussiaUnited StatesGermany
In The Last Decade
Dmitry Tuzoff
6 papers receiving 328 citations
Dmitry Tuzoff's Hit Papers
Peers
Comparison fields: 5 of 36
- Oral Surgery 318
- Health Informatics 46
- General Dentistry 61
- Archeology 46
- Periodontics 19
Countries citing papers authored by Dmitry Tuzoff
This map shows the geographic impact of Dmitry Tuzoff'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 Tuzoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Tuzoff more than expected).
Fields of papers citing papers by Dmitry Tuzoff
This network shows the impact of papers produced by Dmitry Tuzoff. 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 Tuzoff. The network helps show where Dmitry Tuzoff may publish in the future.
Co-authors
The 13 scholars most cited alongside Dmitry Tuzoff, 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 | Tooth detection and numbering in panoramic radiographs using convolutional neural networks Hit paper breakdown → | 2019 | 304 |
| 2 | 2022 | 31 | |
| 3 | The Scope of Artificial Intelligence in Oral Radiology- A review | 2020 | 2 |
| 4 | 2025 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2024 | 1 |
About Dmitry Tuzoff
Dmitry Tuzoff is a scholar working on Oral Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Health Informatics and Artificial Intelligence, having authored 6 papers that have together received 342 indexed citations. Recurring topics across this work include Dental Radiography and Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Radiology practices and education (2 papers), Medical Imaging and Analysis (2 papers), AI in cancer detection (1 paper), Advanced X-ray and CT Imaging (1 paper) and Endodontics and Root Canal Treatments (1 paper). The work is most often cited by research in Oral Surgery (318 citations), Health Informatics (46 citations), General Dentistry (61 citations), Archeology (46 citations) and Periodontics (19 citations). Dmitry Tuzoff has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Lyudmila Tuzova, Sergey Nikolenko, Michael M. Bornstein, А. С. Краснов, Donald A. Tyndall, Peter Z. Tawil, André Mol, Falk Schwendicke, Sourav K. Bose and Reinhilde Jacobs. Their work appears in journals such as Dentomaxillofacial Radiology, The Journal of the American Dental Association, Oral Surgery Oral Medicine Oral Pathology and Oral Radiology and International journal of medical and health sciences.
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.