Žiga Špiclin
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Neurology
- Co-authors
- Franjo PernušBoštjan LikarTim JermanAlfiia GalimzianovaF. PernušMiran BürmenJaka KatrašnikSaša Šega Jazbec
- Topics
- Medical Image Segmentation Techniques (18 papers)Cerebrovascular and Carotid Artery Diseases (16 papers)Intracranial Aneurysms: Treatment and Complications (13 papers)
- Partner nations
- SloveniaUnited StatesSouth Korea
In The Last Decade
Žiga Špiclin
49 papers receiving 700 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 298
- Radiology, Nuclear Medicine and Imaging 259
- Biomedical Engineering 134
- Pulmonary and Respiratory Medicine 127
- Neurology 88
Countries citing papers authored by Žiga Špiclin
This map shows the geographic impact of Žiga Špiclin'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 Žiga Špiclin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Žiga Špiclin more than expected).
Fields of papers citing papers by Žiga Špiclin
This network shows the impact of papers produced by Žiga Špiclin. 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 Žiga Špiclin. The network helps show where Žiga Špiclin may publish in the future.
Co-authorship network of co-authors of Žiga Špiclin
This figure shows the co-authorship network connecting the top 25 collaborators of Žiga Špiclin. A scholar is included among the top collaborators of Žiga Špiclin 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 Žiga Špiclin. Žiga Špiclin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 11 | |
| 9 | 73 | |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 12 | |
| 13 | 187 | |
| 14 | 16 | |
| 15 | 17 | |
| 16 | 42 | |
| 17 | 21 | |
| 18 | Registration of MRI and EEG based on internal and external anatomical similarities | 4 |
| 19 | 6 | |
| 20 | Geometrical and Statistical Visual Inspection of Imprinted Tablets | 2 |
About Žiga Špiclin
Žiga Špiclin is a scholar working on Computer Vision and Pattern Recognition, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 714 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Cerebrovascular and Carotid Artery Diseases (16 papers) and Intracranial Aneurysms: Treatment and Complications (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Radiology, Nuclear Medicine and Imaging (259 citations) and Neurology (83 citations). Žiga Špiclin has collaborated with scholars based in Slovenia, United States and South Korea. Frequent co-authors include Franjo Pernuš, Boštjan Likar, Tim Jerman, Alfiia Galimzianova, F. Pernuš, Miran Bürmen, Jaka Katrašnik, Saša Šega Jazbec, Alojz Ihan and Vojko Strojnik. 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.