Csaba Domokos
Impact in
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- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Museology top 10%
Papers in
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- Medical Image Segmentation Techniques 8
- Advanced Image and Video Retrieval Techniques 5
- Advanced Vision and Imaging 3
- Image and Object Detection Techniques 3
- Image Retrieval and Classification Techniques 3
- Advanced Neural Network Applications 3
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- Topic Modeling 2
- Co-authors
- Zoltán Kató (9 shared papers)Shuicheng Yan (4 shared papers)Jiashi Feng (1 shared paper)Hui Xu (1 shared paper)Junshi Huang (1 shared paper)Zhenzhen Hu (1 shared paper)Si Liu (1 shared paper)József Németh (3 shared papers)
In The Last Decade
Csaba Domokos
17 papers receiving 267 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 232
- Museology 8
- Computational Mechanics 39
- Industrial and Manufacturing Engineering 17
- Artificial Intelligence 52
Countries citing papers authored by Csaba Domokos
This map shows the geographic impact of Csaba Domokos'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 Csaba Domokos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Domokos more than expected).
Fields of papers citing papers by Csaba Domokos
This network shows the impact of papers produced by Csaba Domokos. 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 Csaba Domokos. The network helps show where Csaba Domokos may publish in the future.
Co-authors
The 24 scholars most cited alongside Csaba Domokos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 133 | |
| 2 | 2013 | 29 | |
| 3 | 2009 | 24 | |
| 4 | 2011 | 20 | |
| 5 | 2009 | 16 | |
| 6 | Differentiable learning of numerical rules in knowledge graphs | 2020 | 11 |
| 7 | 2008 | 10 | |
| 8 | 2014 | 8 | |
| 9 | 2015 | 6 | |
| 10 | 2018 | 5 | |
| 11 | 2009 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2023 | 2 | |
| 14 | Simultaneous Affine Registration of Multiple Shapes ∗ | 2014 | 1 |
| 15 | 2009 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2024 | 1 |
About Csaba Domokos
Csaba Domokos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computational Mechanics and Geology, having authored 17 papers that have together received 272 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Vision and Imaging (3 papers), Image and Object Detection Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Museology (8 citations), Computational Mechanics (39 citations), Industrial and Manufacturing Engineering (17 citations) and Artificial Intelligence (52 citations). Csaba Domokos has collaborated with scholars based in Hungary, Germany and Singapore. Frequent co-authors include Zoltán Kató, Shuicheng Yan, Jiashi Feng, Hui Xu, Junshi Huang, Zhenzhen Hu, Si Liu, József Németh, Wei Xia and Loong‐Fah Cheong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology, Journal of Mathematical Imaging and Vision, Pattern Recognition and IEEE Transactions on Multimedia.
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.