Michal Sofka

1.6k citations
33 papers · 971 · h-index 15

Impact in

Papers in

Michal Sofka

33 papers receiving 934 citations

Peers

Michal Sofka
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 557
  • Ophthalmology 192
  • Radiology, Nuclear Medicine and Imaging 483
  • Aerospace Engineering 150
  • Signal Processing 62
Replace Christian Roux with:
Christian Roux France
Wei Xiong Singapore
Yixiong Liang China
Guanghui Yue China
Yuqian Zhao China
Khan Bahadar Khan Pakistan
Kamil Říha Czechia
Elli Angelopoulou Germany
Lai Jiang China
S. Chatterjee United States
Michal Sofka relative to Christian Roux France Christian Roux's profile →
Citations per field
00.5×1.5×2.4×
Christian Roux · 1×
Citations per year

Countries citing papers authored by Michal Sofka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michal Sofka Line = papers co-authored together Michal Sofka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006243
2 2007189
3 200773
4
Optimized invariant representation of network traffic for detecting unseen malware variants
201666
5 202343
6 201140
7 202233
8 201133
9 200729
10 201426
11 200823
12 201323
13 201422
14 201017
15 201214
16 202211
17 201410
18 20109
19 20139
20 20119

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 Ophthalmology, having authored 33 papers that have together received 971 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Robotics and Sensor-Based Localization (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Image Retrieval and Classification Techniques (4 papers), Retinal Imaging and Analysis (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (557 citations), Ophthalmology (192 citations), Radiology, Nuclear Medicine and Imaging (483 citations), Aerospace Engineering (150 citations) and Signal Processing (62 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, Dorin Comaniciu and Seyed Sadegh Mohseni Salehi. 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 Methods of Information in Medicine.

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.

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