Dejan Tomaževič
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Aerospace Engineering top 10%
- Co-authors
- B. LikarF. PernušPrimož MarkeljBoštjan LikarFranjo PernušGraeme PenneyEverine B. van de KraatsTheo van Walsum
- Topics
- Industrial Vision Systems and Defect Detection (15 papers)Medical Imaging and Analysis (14 papers)Medical Imaging Techniques and Applications (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingIndustrial and Manufacturing Engineering
- Partner nations
- SloveniaGermanyNetherlands
In The Last Decade
Dejan Tomaževič
42 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 752
- Biomedical Engineering 537
- Radiology, Nuclear Medicine and Imaging 479
- Surgery 216
- Aerospace Engineering 169
Countries citing papers authored by Dejan Tomaževič
This map shows the geographic impact of Dejan Tomaževič'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 Dejan Tomaževič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejan Tomaževič more than expected).
Fields of papers citing papers by Dejan Tomaževič
This network shows the impact of papers produced by Dejan Tomaževič. 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 Dejan Tomaževič. The network helps show where Dejan Tomaževič may publish in the future.
Co-authorship network of co-authors of Dejan Tomaževič
This figure shows the co-authorship network connecting the top 25 collaborators of Dejan Tomaževič. A scholar is included among the top collaborators of Dejan Tomaževič 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 Dejan Tomaževič. Dejan Tomaževič is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 19 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 31 | |
| 7 | 15 | |
| 8 | 40 | |
| 9 | A review of 3D/2D registration methods for image-guided interventionsbreakdown → | 520 |
| 10 | 4 | |
| 11 | 64 | |
| 12 | 16 | |
| 13 | 57 | |
| 14 | 155 | |
| 15 | 30 | |
| 16 | 10 | |
| 17 | 123 | |
| 18 | 36 | |
| 19 | 6 | |
| 20 | 71 |
About Dejan Tomaževič
Dejan Tomaževič is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (15 papers), Medical Imaging and Analysis (14 papers) and Medical Imaging Techniques and Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (752 citations), Radiology, Nuclear Medicine and Imaging (479 citations) and Industrial and Manufacturing Engineering (162 citations). Dejan Tomaževič has collaborated with scholars based in Slovenia, Germany and Netherlands. Frequent co-authors include B. Likar, F. Pernuš, Primož Markelj, Boštjan Likar, Franjo Pernuš, Graeme Penney, Everine B. van de Kraats, Theo van Walsum, T. Slivnik and Wiro J. Niessen. Their work appears in journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Optics Express.
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.