Ivan Buliev
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation top 10%
- Advanced Radiotherapy Techniques
- Advanced X-ray Imaging Techniques
Papers in
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- Medical Imaging Techniques and Applications 11
- Radiomics and Machine Learning in Medical Imaging 4
- Radiation Dose and Imaging 3
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- Advanced X-ray and CT Imaging 13
- Co-authors
- Kristina Bliznakova (19 shared papers)Zhivko Bliznakov (16 shared papers)Paolo Russo (11 shared papers)Giovanni Mettivier (11 shared papers)N. Pallikarakis (7 shared papers)Hilde Bosmans (7 shared papers)Alberto Bravin (4 shared papers)Antonio Sarno (3 shared papers)
In The Last Decade
Ivan Buliev
25 papers receiving 286 citations
Peers
Comparison fields: 5 of 44
- Radiology, Nuclear Medicine and Imaging 165
- Radiation 66
- Pulmonary and Respiratory Medicine 144
- Biomedical Engineering 137
- Health Informatics 3
Countries citing papers authored by Ivan Buliev
This map shows the geographic impact of Ivan Buliev'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 Ivan Buliev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Buliev more than expected).
Fields of papers citing papers by Ivan Buliev
This network shows the impact of papers produced by Ivan Buliev. 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 Ivan Buliev. The network helps show where Ivan Buliev may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Buliev, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 62 | |
| 2 | 2019 | 27 | |
| 3 | 2012 | 27 | |
| 4 | 2018 | 23 | |
| 5 | 2017 | 21 | |
| 6 | 2015 | 20 | |
| 7 | 2019 | 19 | |
| 8 | 2016 | 15 | |
| 9 | 2016 | 11 | |
| 10 | 2003 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2008 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2010 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2008 | 4 | |
| 18 | 2014 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2011 | 2 |
About Ivan Buliev
Ivan Buliev is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Radiation and Surgery, having authored 25 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (13 papers), Digital Radiography and Breast Imaging (13 papers), Medical Imaging Techniques and Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Radiation Dose and Imaging (3 papers), Advanced X-ray Imaging Techniques (3 papers), Medical Image Segmentation Techniques (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (165 citations), Radiation (66 citations), Pulmonary and Respiratory Medicine (144 citations), Biomedical Engineering (137 citations) and Health Informatics (3 citations). Ivan Buliev has collaborated with scholars based in Bulgaria, Greece and Italy. Frequent co-authors include Kristina Bliznakova, Zhivko Bliznakov, Paolo Russo, Giovanni Mettivier, N. Pallikarakis, Hilde Bosmans, Alberto Bravin, Antonio Sarno, Lesley Cockmartin and Ioannis Sechopoulos. Their work appears in journals such as Physica Medica, Physics in Medicine and Biology, Journal of Composite Materials, Computer Methods and Programs in Biomedicine and Computerized Medical Imaging and Graphics.
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.