Dan Raviv
Impact in
- Acoustics and Ultrasonics top 2%
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Medical Image Segmentation Techniques 12
- Image Retrieval and Classification Techniques 9
- Advanced Vision and Imaging 9
- Human Pose and Action Recognition 8
- Image Processing and 3D Reconstruction 6
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- 3D Shape Modeling and Analysis 20
- Co-authors
- Ron Kimmel (16 shared papers)Ramesh Raskar (11 shared papers)Michael M. Bronstein (8 shared papers)Alexander M. Bronstein (7 shared papers)Athina Papadopoulou (1 shared paper)Wei Dong Zhao (1 shared paper)Daniel Dikovsky (1 shared paper)Achuta Kadambi (1 shared paper)
- Journals
- International Journal of Computer Vision (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)SIAM Journal on Imaging Sciences (2 papers)Scientific Reports (2 papers)IEEE Transactions on Affective Computing (1 paper)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Dan Raviv
51 papers receiving 1.4k citations
Dan Raviv's Hit Papers
Peers
Comparison fields: 5 of 111
- Acoustics and Ultrasonics 67
- Computer Graphics and Computer-Aided Design 135
- Computer Vision and Pattern Recognition 613
- Instrumentation 85
- Automotive Engineering 235
Countries citing papers authored by Dan Raviv
This map shows the geographic impact of Dan Raviv'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 Dan Raviv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Raviv more than expected).
Fields of papers citing papers by Dan Raviv
This network shows the impact of papers produced by Dan Raviv. 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 Dan Raviv. The network helps show where Dan Raviv may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Raviv, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Active Printed Materials for Complex Self-Evolving Deformations Hit paper breakdown → | 2014 | 478 |
| 2 | Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning Hit paper breakdown → | 2023 | 156 |
| 3 | 2010 | 89 | |
| 4 | 2021 | 76 | |
| 5 | 2010 | 69 | |
| 6 | 2016 | 68 | |
| 7 | 2007 | 61 | |
| 8 | 2013 | 39 | |
| 9 | 2014 | 39 | |
| 10 | 2015 | 34 | |
| 11 | 2013 | 33 | |
| 12 | 2021 | 32 | |
| 13 | 2011 | 27 | |
| 14 | 2011 | 24 | |
| 15 | 2021 | 20 | |
| 16 | 2017 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 2012 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2021 | 14 |
About Dan Raviv
Dan Raviv is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Geometry and Topology and Instrumentation, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (20 papers), Medical Image Segmentation Techniques (12 papers), Image Retrieval and Classification Techniques (9 papers), Advanced Vision and Imaging (9 papers), Human Pose and Action Recognition (8 papers), Morphological variations and asymmetry (7 papers), Image Processing and 3D Reconstruction (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (67 citations), Computer Graphics and Computer-Aided Design (135 citations), Computer Vision and Pattern Recognition (613 citations), Instrumentation (85 citations) and Automotive Engineering (235 citations). Dan Raviv has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Ron Kimmel, Ramesh Raskar, Michael M. Bronstein, Alexander M. Bronstein, Athina Papadopoulou, Wei Dong Zhao, Daniel Dikovsky, Achuta Kadambi, Skylar Tibbits and Carlos José Maria Olguin. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Imaging Sciences, Scientific Reports and IEEE Transactions on Affective Computing.
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.