Nikos Paragios
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Image and Object Detection Techniques
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- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Medical Image Segmentation Techniques 124
- Advanced Image and Video Retrieval Techniques 53
- Advanced Vision and Imaging 49
- Advanced Neural Network Applications 31
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- Radiomics and Machine Learning in Medical Imaging 38
- Medical Imaging Techniques and Applications 24
- Co-authors
- Rachid Deriche (9 shared papers)Nikos Komodakis (43 shared papers)Aristeidis Sotiras (19 shared papers)Christos A. Davatzikos (6 shared papers)Mikaël Rousson (8 shared papers)Georgios Tziritas (14 shared papers)Stanley Osher (1 shared paper)Ankush Mittal (2 shared papers)
- Journals
- Medical Image Analysis (11 papers)Lecture notes in computer science (84 papers)International Journal of Computer Vision (8 papers)Computer Vision and Image Understanding (7 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (7 papers)
- Partner nations
- FranceUnited StatesGreece
In The Last Decade
Nikos Paragios
306 papers receiving 16.0k citations
Nikos Paragios's Hit Papers
Peers
Comparison fields: 5 of 191
- Computer Vision and Pattern Recognition 10.1k
- Radiology, Nuclear Medicine and Imaging 3.7k
- Media Technology 1.2k
- Computer Graphics and Computer-Aided Design 469
- Health Informatics 157
Countries citing papers authored by Nikos Paragios
This map shows the geographic impact of Nikos Paragios'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 Nikos Paragios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikos Paragios more than expected).
Fields of papers citing papers by Nikos Paragios
This network shows the impact of papers produced by Nikos Paragios. 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 Nikos Paragios. The network helps show where Nikos Paragios may publish in the future.
Co-authors
The 25 scholars most cited alongside Nikos Paragios, 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 320 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deformable Medical Image Registration: A Survey Hit paper breakdown → | 2013 | 1147 |
| 2 | A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study Hit paper breakdown → | 2018 | 959 |
| 3 | Geodesic active contours and level sets for the detection and tracking of moving objects Hit paper breakdown → | 2000 | 774 |
| 4 | Geometric Level Set Methods in Imaging, Vision, and Graphics Hit paper breakdown → | 2003 | 661 |
| 5 | Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology Hit paper breakdown → | 2017 | 621 |
| 6 | Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation Hit paper breakdown → | 2002 | 605 |
| 7 | 2004 | 476 | |
| 8 | Handbook of Mathematical Models in Computer Vision Hit paper breakdown → | 2005 | 466 |
| 9 | Shape Priors for Level Set Representations Hit paper breakdown → | 2002 | 398 |
| 10 | Data fusion through cross-modality metric learning using similarity-sensitive hashing Hit paper breakdown → | 2010 | 387 |
| 11 | 2011 | 366 | |
| 12 | Dense image registration through MRFs and efficient linear programming Hit paper breakdown → | 2008 | 333 |
| 13 | 2010 | 333 | |
| 14 | 2002 | 306 | |
| 15 | 2003 | 274 | |
| 16 | 2015 | 256 | |
| 17 | 2007 | 199 | |
| 18 | 2005 | 192 | |
| 19 | 2010 | 191 | |
| 20 | 2020 | 190 |
About Nikos Paragios
Nikos Paragios is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computational Mechanics, Aerospace Engineering and Media Technology, having authored 320 papers that have together received 16.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (124 papers), Advanced Image and Video Retrieval Techniques (53 papers), Advanced Vision and Imaging (49 papers), Radiomics and Machine Learning in Medical Imaging (38 papers), Robotics and Sensor-Based Localization (37 papers), Advanced Neural Network Applications (31 papers), 3D Shape Modeling and Analysis (24 papers) and Medical Imaging Techniques and Applications (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.1k citations), Radiology, Nuclear Medicine and Imaging (3.7k citations), Media Technology (1.2k citations), Computer Graphics and Computer-Aided Design (469 citations) and Health Informatics (157 citations). Nikos Paragios has collaborated with scholars based in France, United States and Greece. Frequent co-authors include Rachid Deriche, Nikos Komodakis, Aristeidis Sotiras, Christos A. Davatzikos, Mikaël Rousson, Georgios Tziritas, Stanley Osher, Ankush Mittal, Visvanathan Ramesh and Konstantinos G. Karantzalos. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science, International Journal of Computer Vision, Computer Vision and Image Understanding and IEEE Transactions on Pattern Analysis and Machine 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.