Bulat Ibragimov
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 5%
- Oral Surgery top 0.5%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Lei XingTomaž VrtovecYixuan YuanFranjo PernušSercan Ö. ArıkBoštjan LikarDaniel T. ChangDiego A.S. Toesca
- Topics
- Radiomics and Machine Learning in Medical Imaging (23 papers)Medical Imaging and Analysis (23 papers)COVID-19 diagnosis using AI (12 papers)
- Partner nations
- DenmarkUnited StatesSlovenia
In The Last Decade
Bulat Ibragimov
67 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Radiology, Nuclear Medicine and Imaging 1.2k
- Biomedical Engineering 913
- Oral Surgery 707
- Artificial Intelligence 533
- Computer Vision and Pattern Recognition 430
Countries citing papers authored by Bulat Ibragimov
This map shows the geographic impact of Bulat Ibragimov'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 Bulat Ibragimov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bulat Ibragimov more than expected).
Fields of papers citing papers by Bulat Ibragimov
This network shows the impact of papers produced by Bulat Ibragimov. 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 Bulat Ibragimov. The network helps show where Bulat Ibragimov may publish in the future.
Co-authorship network of co-authors of Bulat Ibragimov
This figure shows the co-authorship network connecting the top 25 collaborators of Bulat Ibragimov. A scholar is included among the top collaborators of Bulat Ibragimov 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 Bulat Ibragimov. Bulat Ibragimov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 15 | |
| 14 | 26 | |
| 15 | 35 | |
| 16 | 28 | |
| 17 | 76 | |
| 18 | 17 | |
| 19 | 26 | |
| 20 | 73 |
About Bulat Ibragimov
Bulat Ibragimov is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and General Dentistry, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Medical Imaging and Analysis (23 papers) and COVID-19 diagnosis using AI (12 papers). The work is most often cited by research in Health Informatics (134 citations), Oral Surgery (707 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Bulat Ibragimov has collaborated with scholars based in Denmark, United States and Slovenia. Frequent co-authors include Lei Xing, Tomaž Vrtovec, Yixuan Yuan, Franjo Pernuš, Sercan Ö. Arık, Boštjan Likar, Daniel T. Chang, Diego A.S. Toesca, Albert C. Koong and Maksym Kholiavchenko. Their work appears in journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and IEEE Access.
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.