Dorin Comaniciu
- Computer Vision and Pattern Recognition top 0.02%
- Medical Image Segmentation Techniques 71
- Advanced Neural Network Applications 31
- Advanced Vision and Imaging 28
- Image Retrieval and Classification Techniques 21
- Media Technology top 0.05%
- Health Informatics top 0.5%
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- Radiomics and Machine Learning in Medical Imaging 28
- Artificial Intelligence top 0.2%
- AI in cancer detection 28
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- Cardiac Valve Diseases and Treatments 42
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- Coronary Interventions and Diagnostics 22
- Co-authors
- Peter MeerVisvanathan RameshBogdan GeorgescuYefeng ZhengXiang Sean ZhouS. Kevin ZhouAdrian BarbuMichael Scheuering
- Journals
- IEEE Transactions on Medical Imaging (15 papers)Medical Image Analysis (9 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (8 papers)
- Partner nations
- United StatesGermanyRomania
In The Last Decade
Dorin Comaniciu
237 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Computer Vision and Pattern Recognition 14.6k
- Media Technology 2.5k
- Health Informatics 261
- Radiology, Nuclear Medicine and Imaging 3.0k
- Artificial Intelligence 3.5k
Countries citing papers authored by Dorin Comaniciu
This map shows the geographic impact of Dorin Comaniciu'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 Dorin Comaniciu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dorin Comaniciu more than expected).
Fields of papers citing papers by Dorin Comaniciu
This network shows the impact of papers produced by Dorin Comaniciu. 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 Dorin Comaniciu. The network helps show where Dorin Comaniciu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dorin Comaniciu, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 14 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 90 | |
| 8 | 2017 | 11 | |
| 9 | 2016 | 10 | |
| 10 | 2015 | 4 | |
| 11 | 2014 | 19 | |
| 12 | 2013 | 15 | |
| 13 | 2010 | 8 | |
| 14 | 2010 | 11 | |
| 15 | 2008 | 22 | |
| 16 | 2007 | 51 | |
| 17 | Example based non-rigid shape detection | 2006 | 1 |
| 18 | 2005 | 101 | |
| 19 | 2004 | 8 | |
| 20 | Model-Based Training Set Synthesis for Vector Quantization. | 1999 | 1 |
About Dorin Comaniciu
Dorin Comaniciu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Biomedical Engineering, having authored 243 papers that have together received 22.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (71 papers), Cardiac Valve Diseases and Treatments (42 papers), Advanced Neural Network Applications (31 papers), Advanced Vision and Imaging (28 papers), Radiomics and Machine Learning in Medical Imaging (28 papers), AI in cancer detection (28 papers), Coronary Interventions and Diagnostics (22 papers) and Image Retrieval and Classification Techniques (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (14.6k citations), Media Technology (2.5k citations), Health Informatics (261 citations), Radiology, Nuclear Medicine and Imaging (3.0k citations) and Artificial Intelligence (3.5k citations). Dorin Comaniciu has collaborated with scholars based in United States, Germany and Romania. Frequent co-authors include Peter Meer, Visvanathan Ramesh, Bogdan Georgescu, Yefeng Zheng, Xiang Sean Zhou, S. Kevin Zhou, Adrian Barbu, Michael Scheuering, Joachim Hornegger and Danny Barash. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science and Radiology Artificial Intelligence.
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.