Boštjan Likar
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- Medical Image Segmentation Techniques 44
- Image and Object Detection Techniques 17
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- Optical Imaging and Spectroscopy Techniques 32
- Oral Surgery top 2%
- Biophysics top 2%
- Biomedical Engineering top 2%
- Medical Imaging and Analysis 41
- Photoacoustic and Ultrasonic Imaging 27
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- Spinal Fractures and Fixation Techniques 23
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- Spectroscopy and Chemometric Analyses 16
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- Industrial Vision Systems and Defect Detection 14
- Co-authors
- Franjo PernušTomaž VrtovecŽiga ŠpiclinJaka KatrašnikMiran BürmenDejan TomaževičTim JermanBulat Ibragimov
- Journals
- PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)NeuroImage (2 papers)
- Partner nations
- SloveniaUnited StatesNetherlands
In The Last Decade
Boštjan Likar
172 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 139
- Computer Vision and Pattern Recognition 906
- Radiology, Nuclear Medicine and Imaging 791
- Oral Surgery 222
- Biophysics 171
- Biomedical Engineering 1.2k
Countries citing papers authored by Boštjan Likar
This map shows the geographic impact of Boštjan 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 Boštjan Likar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boštjan Likar more than expected).
Fields of papers citing papers by Boštjan Likar
This network shows the impact of papers produced by Boštjan 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 Boštjan Likar. The network helps show where Boštjan Likar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Boštjan Likar, 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 | 2020 | 9 | |
| 2 | 2020 | 8 | |
| 3 | 2018 | 19 | |
| 4 | 2018 | 28 | |
| 5 | 2017 | 5 | |
| 6 | 2017 | 11 | |
| 7 | 2016 | 22 | |
| 8 | 2015 | 16 | |
| 9 | 2013 | 21 | |
| 10 | 2011 | 2 | |
| 11 | 2011 | 12 | |
| 12 | 2011 | 67 | |
| 13 | 2010 | 8 | |
| 14 | Registration of MRI and EEG based on internal and external anatomical similarities | 2008 | 4 |
| 15 | 2008 | 21 | |
| 16 | 2008 | 64 | |
| 17 | Geometrical and Statistical Visual Inspection of Imprinted Tablets | 2007 | 2 |
| 18 | 2004 | 30 | |
| 19 | 2000 | 8 | |
| 20 | 1997 | 6 |
About Boštjan Likar
Boštjan Likar is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 178 papers that have together received 3.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (44 papers), Medical Imaging and Analysis (41 papers), Optical Imaging and Spectroscopy Techniques (32 papers), Photoacoustic and Ultrasonic Imaging (27 papers), Spinal Fractures and Fixation Techniques (23 papers), Image and Object Detection Techniques (17 papers), Spectroscopy and Chemometric Analyses (16 papers) and Industrial Vision Systems and Defect Detection (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (906 citations), Radiology, Nuclear Medicine and Imaging (791 citations) and Oral Surgery (222 citations). Boštjan Likar has collaborated with scholars based in Slovenia, United States and Netherlands. Frequent co-authors include Franjo Pernuš, Tomaž Vrtovec, Žiga Špiclin, Jaka Katrašnik, Miran Bürmen, Dejan Tomaževič, Tim Jerman, Bulat Ibragimov, Aleš Fidler and Robert Korez. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.