Filip Pavetic
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Digital Imaging for Blood Diseases
- Multimodal Machine Learning Applications
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- Brain Tumor Detection and Classification
Papers in
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- Advanced Neural Network Applications 1
- Multimodal Machine Learning Applications 1
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- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Pavel Izmailov (1 shared paper)Michael Tschannen (2 shared papers)Lucas Beyer (2 shared papers)Matthias Minderer (1 shared paper)Ibrahim Alabdulmohsin (2 shared papers)Mathilde Caron (1 shared paper)А. И. Колесников (1 shared paper)Xiaohua Zhai (2 shared papers)
- Partner nations
- United StatesGermany
In The Last Decade
Filip Pavetic
1 paper receiving 45 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 21
- Neurology 4
- Radiology, Nuclear Medicine and Imaging 10
- Artificial Intelligence 12
- Biophysics 2
Countries citing papers authored by Filip Pavetic
This map shows the geographic impact of Filip Pavetic'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 Filip Pavetic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filip Pavetic more than expected).
Fields of papers citing papers by Filip Pavetic
This network shows the impact of papers produced by Filip Pavetic. 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 Filip Pavetic. The network helps show where Filip Pavetic may publish in the future.
Co-authors
The 13 scholars most cited alongside Filip Pavetic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Filip Pavetic
Filip Pavetic is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 47 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (1 paper), Multimodal Machine Learning Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (21 citations), Neurology (4 citations), Radiology, Nuclear Medicine and Imaging (10 citations), Artificial Intelligence (12 citations) and Biophysics (2 citations). Filip Pavetic has collaborated with scholars based in United States and Germany. Frequent co-authors include Pavel Izmailov, Michael Tschannen, Lucas Beyer, Matthias Minderer, Ibrahim Alabdulmohsin, Mathilde Caron, А. И. Колесников, Xiaohua Zhai, Simon Kornblith and Yongqin Xian.
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.