Michal Sofka
Impact in
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- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Digital Imaging for Blood Diseases
- Ophthalmology top 2%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
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- Medical Image Segmentation Techniques 13
- Advanced Neural Network Applications 9
- Advanced Image and Video Retrieval Techniques 7
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- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Charles V. Stewart (9 shared papers)G. Yang (5 shared papers)Chia-Ling Tsai (5 shared papers)S. Kevin Zhou (11 shared papers)Vojtěch Franc (4 shared papers)Jingdan Zhang (7 shared papers)Neil Birkbeck (8 shared papers)Jo Schlemper (5 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Medical Image Analysis (2 papers)Lecture notes in computer science (15 papers)IEEE Transactions on Biomedical Engineering (1 paper)Machine Learning (1 paper)
- Partner nations
- United StatesGermanyTaiwan
In The Last Decade
Michal Sofka
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 653
- Ophthalmology 210
- Radiology, Nuclear Medicine and Imaging 531
- Signal Processing 85
- Health Informatics 9
Countries citing papers authored by Michal Sofka
This map shows the geographic impact of Michal Sofka'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 Michal Sofka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Sofka more than expected).
Fields of papers citing papers by Michal Sofka
This network shows the impact of papers produced by Michal Sofka. 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 Michal Sofka. The network helps show where Michal Sofka may publish in the future.
Co-authors
The 25 scholars most cited alongside Michal Sofka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 272 | |
| 2 | 2007 | 206 | |
| 3 | 2007 | 79 | |
| 4 | Optimized invariant representation of network traffic for detecting unseen malware variants | 2016 | 75 |
| 5 | 2011 | 47 | |
| 6 | 2023 | 47 | |
| 7 | 2011 | 45 | |
| 8 | 2022 | 37 | |
| 9 | 2007 | 31 | |
| 10 | 2017 | 31 | |
| 11 | 2014 | 30 | |
| 12 | 2013 | 27 | |
| 13 | 2008 | 24 | |
| 14 | 2014 | 23 | |
| 15 | 2010 | 20 | |
| 16 | 2012 | 18 | |
| 17 | 2015 | 18 | |
| 18 | 2014 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2017 | 14 |
About Michal Sofka
Michal Sofka is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Aerospace Engineering and Computer Networks and Communications, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Robotics and Sensor-Based Localization (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Network Security and Intrusion Detection (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (653 citations), Ophthalmology (210 citations), Radiology, Nuclear Medicine and Imaging (531 citations), Signal Processing (85 citations) and Health Informatics (9 citations). Michal Sofka has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Charles V. Stewart, G. Yang, Chia-Ling Tsai, S. Kevin Zhou, Vojtěch Franc, Jingdan Zhang, Neil Birkbeck, Jo Schlemper, Seyed Sadegh Mohseni Salehi and Timo Kohlberger. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lecture notes in computer science, IEEE Transactions on Biomedical Engineering and Machine Learning.
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.