Aleksei Tiulpin
About
In The Last Decade
Aleksei Tiulpin
46 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Rheumatology 583
- Radiology, Nuclear Medicine and Imaging 408
- Biomedical Engineering 339
- Surgery 330
- Artificial Intelligence 221
Countries citing papers authored by Aleksei Tiulpin
This map shows the geographic impact of Aleksei Tiulpin'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 Aleksei Tiulpin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksei Tiulpin more than expected).
Fields of papers citing papers by Aleksei Tiulpin
This network shows the impact of papers produced by Aleksei Tiulpin. 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 Aleksei Tiulpin. The network helps show where Aleksei Tiulpin may publish in the future.
Co-authorship network of co-authors of Aleksei Tiulpin
This figure shows the co-authorship network connecting the top 25 collaborators of Aleksei Tiulpin. A scholar is included among the top collaborators of Aleksei Tiulpin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aleksei Tiulpin. Aleksei Tiulpin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 12 | |
| 9 | Critical evaluation of deep neural networks for wrist fracture detection | 57 |
| 10 | 14 | |
| 11 | 87 | |
| 12 | 37 | |
| 13 | 1 | |
| 14 | Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data breakdown → | 183 |
| 15 | Kneel:knee anatomical landmark localization using hourglass networks | 26 |
| 16 | Improving robustness of deep learning based knee MRI segmentation:mixup and adversarial domain adaptation | 49 |
| 17 | 3 | |
| 18 | 7 | |
| 19 | Automatic knee osteoarthritis diagnosis from plain radiographs:a deep learning-based approach breakdown → | 407 |
| 20 | 3 |
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.