Sambu Seo
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Gaussian Processes and Bayesian Inference
- Machine Learning and Algorithms
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Papers in
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- Neural Networks and Applications 3
- Machine Learning and Data Classification 3
- Machine Learning and Algorithms 2
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- Face and Expression Recognition 3
- Co-authors
- Klaus Obermayer (8 shared papers)Thore Graepel (1 shared paper)Mathias Bode (1 shared paper)Christian Klose (1 shared paper)Klaus Obermayer (3 shared papers)Andreas Heinz (1 shared paper)Anne Beck (1 shared paper)Torsten Wüstenberg (1 shared paper)
In The Last Decade
Sambu Seo
10 papers receiving 336 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 204
- Computer Vision and Pattern Recognition 118
- Computational Theory and Mathematics 41
- Signal Processing 22
- Management Science and Operations Research 23
Countries citing papers authored by Sambu Seo
This map shows the geographic impact of Sambu Seo'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 Sambu Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sambu Seo more than expected).
Fields of papers citing papers by Sambu Seo
This network shows the impact of papers produced by Sambu Seo. 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 Sambu Seo. The network helps show where Sambu Seo may publish in the future.
Co-authors
The 9 scholars most cited alongside Sambu Seo, 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 | 2003 | 117 | |
| 2 | 2000 | 74 | |
| 3 | 2003 | 55 | |
| 4 | 2015 | 40 | |
| 5 | 2004 | 30 | |
| 6 | 2004 | 19 | |
| 7 | 2021 | 12 | |
| 8 | 2006 | 10 | |
| 9 | 2008 | 2 | |
| 10 | 2014 | 1 | |
| 11 | 2009 | 0 |
About Sambu Seo
Sambu Seo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Statistical and Nonlinear Physics and Ocean Engineering, having authored 11 papers that have together received 360 indexed citations. Recurring topics across this work include Face and Expression Recognition (3 papers), Neural Networks and Applications (3 papers), Machine Learning and Data Classification (3 papers), Machine Learning and Algorithms (2 papers), Gene expression and cancer classification (2 papers), Complex Network Analysis Techniques (1 paper), Data Management and Algorithms (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Artificial Intelligence (204 citations), Computer Vision and Pattern Recognition (118 citations), Computational Theory and Mathematics (41 citations), Signal Processing (22 citations) and Management Science and Operations Research (23 citations). Sambu Seo has collaborated with scholars based in Germany and China. Frequent co-authors include Klaus Obermayer, Thore Graepel, Mathias Bode, Christian Klose, Klaus Obermayer, Andreas Heinz, Anne Beck, Torsten Wüstenberg and Robert J. Seidel. Their work appears in journals such as Neural Computation, Neural Networks, International Journal of Rock Mechanics and Mining Sciences, Addiction Biology and IEEE Open Journal of Intelligent Transportation Systems.
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.