Delphine Nain
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics
- Radiology, Nuclear Medicine and Imaging
- Computer Networks and Communications
- Artificial Intelligence
- Co-authors
- Allen TannenbaumSteven HakerAaron BobickShawn LanktonBill TomlinsonBruce BlumbergAnthony YezziHari Balakrishnan
- Topics
- Medical Image Segmentation Techniques (7 papers)Image Retrieval and Classification Techniques (6 papers)3D Shape Modeling and Analysis (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignGeometry and Topology
- Partner nations
- United StatesTürkiyeIsrael
In The Last Decade
Delphine Nain
15 papers receiving 332 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 231
- Computational Mechanics 61
- Radiology, Nuclear Medicine and Imaging 49
- Computer Networks and Communications 48
- Artificial Intelligence 45
Countries citing papers authored by Delphine Nain
This map shows the geographic impact of Delphine Nain'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 Delphine Nain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delphine Nain more than expected).
Fields of papers citing papers by Delphine Nain
This network shows the impact of papers produced by Delphine Nain. 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 Delphine Nain. The network helps show where Delphine Nain may publish in the future.
Co-authorship network of co-authors of Delphine Nain
This figure shows the co-authorship network connecting the top 25 collaborators of Delphine Nain. A scholar is included among the top collaborators of Delphine Nain based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Delphine Nain. Delphine Nain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Adaptive Bayesian Shrinkage Model for Spherical Wavelet Based Denoising and Compression of Hippocampus Shapes | 0 |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 74 | |
| 5 | 64 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 28 | |
| 9 | 18 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 24 | |
| 13 | 3 | |
| 14 | 44 | |
| 15 | An Interactive Virtual Endoscopy Tool | 12 |
| 16 | 56 |
About Delphine Nain
Delphine Nain is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Computer Graphics and Computer-Aided Design, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Computer Graphics and Computer-Aided Design (18 citations) and Geometry and Topology (29 citations). Delphine Nain has collaborated with scholars based in United States, Türkiye and Israel. Frequent co-authors include Allen Tannenbaum, Steven Haker, Aaron Bobick, Shawn Lankton, Bill Tomlinson, Bruce Blumberg, Anthony Yezzi, Hari Balakrishnan, Marc Niethammer and James J. Levitt. Their work appears in journals such as IEEE Transactions on Medical Imaging, Computer-Aided Design and Lecture notes in computer science.
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.