Franjo Pernuš
- Biomedical Engineering top 2%
- Computer Vision and Pattern Recognition top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 5%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Boštjan LikarTomaž VrtovecB. LikarŽiga ŠpiclinJaka KatrašnikMiran BürmenDejan TomaževičBulat Ibragimov
- Topics
- Medical Image Segmentation Techniques (43 papers)Medical Imaging and Analysis (42 papers)Optical Imaging and Spectroscopy Techniques (32 papers)
- Partner nations
- SloveniaUnited StatesNetherlands
In The Last Decade
Franjo Pernuš
176 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Biomedical Engineering 1.3k
- Computer Vision and Pattern Recognition 1.3k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Surgery 820
- Pathology and Forensic Medicine 471
Countries citing papers authored by Franjo Pernuš
This map shows the geographic impact of Franjo Pernuš'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 Franjo Pernuš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franjo Pernuš more than expected).
Fields of papers citing papers by Franjo Pernuš
This network shows the impact of papers produced by Franjo Pernuš. 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 Franjo Pernuš. The network helps show where Franjo Pernuš may publish in the future.
Co-authorship network of co-authors of Franjo Pernuš
This figure shows the co-authorship network connecting the top 25 collaborators of Franjo Pernuš. A scholar is included among the top collaborators of Franjo Pernuš 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 Franjo Pernuš. Franjo Pernuš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 28 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 22 | |
| 6 | 16 | |
| 7 | Fast segmentation, conversion and rendering of volumetric data using GPU | 2 |
| 8 | 33 | |
| 9 | 21 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 67 | |
| 13 | 8 | |
| 14 | Registration of MRI and EEG based on internal and external anatomical similarities | 4 |
| 15 | 21 | |
| 16 | Geometrical and Statistical Visual Inspection of Imprinted Tablets | 2 |
| 17 | 5 | |
| 18 | 30 | |
| 19 | 8 | |
| 20 | 6 |
About Franjo Pernuš
Franjo Pernuš is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 183 papers that have together received 3.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (43 papers), Medical Imaging and Analysis (42 papers) and Optical Imaging and Spectroscopy Techniques (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Biophysics (198 citations). Franjo Pernuš has collaborated with scholars based in Slovenia, United States and Netherlands. Frequent co-authors include Boštjan Likar, Tomaž Vrtovec, B. Likar, Žiga Špiclin, Jaka Katrašnik, Miran Bürmen, Dejan Tomaževič, Bulat Ibragimov, Tim Jerman and Michiel M. A. Janssen. 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.