B. Likar
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering top 5%
- Surgery
- Aerospace Engineering top 10%
- Co-authors
- F. PernušDejan TomaževičFranjo PernušPrimož MarkeljMax A. ViergeverT. SlivnikAleš FidlerU Skalerič
- Topics
- Medical Imaging Techniques and Applications (11 papers)Medical Image Segmentation Techniques (10 papers)Medical Imaging and Analysis (6 papers)
In The Last Decade
B. Likar
20 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 1.1k
- Radiology, Nuclear Medicine and Imaging 781
- Biomedical Engineering 487
- Surgery 190
- Aerospace Engineering 150
Countries citing papers authored by B. Likar
This map shows the geographic impact of B. Likar'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 B. Likar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Likar more than expected).
Fields of papers citing papers by B. Likar
This network shows the impact of papers produced by B. Likar. 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 B. Likar. The network helps show where B. Likar may publish in the future.
Co-authorship network of co-authors of B. Likar
This figure shows the co-authorship network connecting the top 25 collaborators of B. Likar. A scholar is included among the top collaborators of B. Likar 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 B. Likar. B. Likar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 41 | |
| 4 | A review of 3D/2D registration methods for image-guided interventionsbreakdown → | 520 |
| 5 | 13 | |
| 6 | 13 | |
| 7 | A Review of Methods for Correction of Intensity Inhomogeneity in MRIbreakdown → | 611 |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 57 | |
| 12 | 4 | |
| 13 | 123 | |
| 14 | 7 | |
| 15 | 16 | |
| 16 | 6 | |
| 17 | 71 | |
| 18 | 2 | |
| 19 | 208 | |
| 20 | 145 |
About B. Likar
B. Likar is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Medical Image Segmentation Techniques (10 papers) and Medical Imaging and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Radiology, Nuclear Medicine and Imaging (781 citations) and Media Technology (126 citations). B. Likar has collaborated with scholars based in Slovenia and Serbia. Frequent co-authors include F. Pernuš, Dejan Tomaževič, Franjo Pernuš, Primož Markelj, Max A. Viergever, T. Slivnik, Aleš Fidler, U Skalerič, Tomaž Vrtovec and Bulat Ibragimov. Their work appears in journals such as IEEE Transactions on Medical Imaging, Osteoporosis International and Medical Image Analysis.
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.