Adrian Barbu
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Image Segmentation Techniques 21
- Advanced Image and Video Retrieval Techniques 14
- Advanced Neural Network Applications 12
- Face and Expression Recognition 5
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- AI in cancer detection 7
- Bayesian Methods and Mixture Models 6
- Machine Learning and Data Classification 6
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Dorin Comaniciu (12 shared papers)Bogdan Georgescu (4 shared papers)Yefeng Zheng (3 shared papers)Michael Scheuering (3 shared papers)Song-Chun Zhu (1 shared paper)S. Kevin Zhou (4 shared papers)Xufeng Niu (2 shared papers)John Sobanjo (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Electronic Journal of Statistics (2 papers)Electronics (2 papers)Journal of Algebra (2 papers)Journal of Computational and Graphical Statistics (2 papers)
- Partner nations
- United StatesGermanyTürkiye
In The Last Decade
Adrian Barbu
67 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 807
- Radiology, Nuclear Medicine and Imaging 351
- Media Technology 147
- Artificial Intelligence 288
- Cardiology and Cardiovascular Medicine 151
Countries citing papers authored by Adrian Barbu
This map shows the geographic impact of Adrian Barbu'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 Adrian Barbu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Barbu more than expected).
Fields of papers citing papers by Adrian Barbu
This network shows the impact of papers produced by Adrian Barbu. 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 Adrian Barbu. The network helps show where Adrian Barbu may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian Barbu, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 375 | |
| 2 | 2018 | 118 | |
| 3 | 2005 | 106 | |
| 4 | 2009 | 91 | |
| 5 | 2007 | 85 | |
| 6 | 2016 | 72 | |
| 7 | 2009 | 67 | |
| 8 | 2019 | 66 | |
| 9 | 2011 | 63 | |
| 10 | 2019 | 46 | |
| 11 | 2006 | 40 | |
| 12 | 2007 | 37 | |
| 13 | 2013 | 29 | |
| 14 | 2018 | 29 | |
| 15 | 2010 | 26 | |
| 16 | 2011 | 25 | |
| 17 | 2018 | 24 | |
| 18 | 2009 | 23 | |
| 19 | 2008 | 21 | |
| 20 | 2016 | 17 |
About Adrian Barbu
Adrian Barbu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Statistics and Probability and Biomedical Engineering, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), Advanced Image and Video Retrieval Techniques (14 papers), Advanced Neural Network Applications (12 papers), AI in cancer detection (7 papers), Bayesian Methods and Mixture Models (6 papers), Machine Learning and Data Classification (6 papers), Face and Expression Recognition (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (807 citations), Radiology, Nuclear Medicine and Imaging (351 citations), Media Technology (147 citations), Artificial Intelligence (288 citations) and Cardiology and Cardiovascular Medicine (151 citations). Adrian Barbu has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include Dorin Comaniciu, Bogdan Georgescu, Yefeng Zheng, Michael Scheuering, Song-Chun Zhu, S. Kevin Zhou, Xufeng Niu, John Sobanjo, Michael Suehling and David Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Electronic Journal of Statistics, Electronics, Journal of Algebra and Journal of Computational and Graphical Statistics.
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.