Delphine Nain

719 total citations
16 papers, 359 citations indexed

About

Delphine Nain is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geometry and Topology. According to data from OpenAlex, Delphine Nain has authored 16 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 4 papers in Geometry and Topology. Recurrent topics in Delphine Nain's work include Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers) and 3D Shape Modeling and Analysis (5 papers). Delphine Nain is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers) and 3D Shape Modeling and Analysis (5 papers). Delphine Nain collaborates with scholars based in United States, Türkiye and Israel. Delphine Nain's 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 and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Computer-Aided Design and Lecture notes in computer science.

In The Last Decade

Delphine Nain

15 papers receiving 332 citations

Peers

Delphine Nain
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
Replace M. Pauline Baker with:
M. Pauline Baker United States
Nur Arad Israel
H. Seidel Germany
Xilin Chen China
Yun Tie China
Jungchan Cho South Korea
Ziyang Zhang China
Derek Molloy Ireland
Yonggang Shi China
M. Pauline Baker United States View profile →
Citations per field, relative to Delphine Nain
Delphine Nain · 1×
Citations per year, relative to Delphine Nain
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Countries citing papers authored by Delphine Nain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
# 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

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.

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