Dimitris Metaxas

174 papers receiving 5.7k citations

Hit Papers

Dynamic 3D models with local and global deformations: def...19912026200220141991201620222023100200300400500

Peers

Dimitris Metaxas
Comparison fields: 5 of 173
  • Computer Vision and Pattern Recognition 3.3k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Artificial Intelligence 1.4k
  • Computational Mechanics 1.2k
  • Biomedical Engineering 906
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Yen‐Wei Chen Japan
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Dimitris Metaxas relative to Dimitris Metaxas United States Dimitris Metaxas's profile →
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Countries citing papers authored by Dimitris Metaxas

Since Specialization
Citations

This map shows the geographic impact of Dimitris Metaxas'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 Dimitris Metaxas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitris Metaxas more than expected).

Fields of papers citing papers by Dimitris Metaxas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dimitris Metaxas. 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 Dimitris Metaxas. The network helps show where Dimitris Metaxas may publish in the future.

Co-authorship network of co-authors of Dimitris Metaxas

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitris Metaxas. A scholar is included among the top collaborators of Dimitris Metaxas 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 Dimitris Metaxas. Dimitris Metaxas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 6
4 10
5 16
6
On the challenges and perspectives of foundation models for medical image analysisbreakdown →
105
7
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistencybreakdown →
194
8 75
9 57
10 27
11
Dual iterative hard thresholding
2
12 32
13
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning
3
14
Unsupervised Domain Adaptation via Calibrating Uncertainties
7
15 6
16
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
4
17
Efficient k-support-norm regularized minimization via fully corrective frank-Wolfe method
1
18 185
19 5
20
Building Anthropometry-Based Virtual Human Models
22

About Dimitris Metaxas

Dimitris Metaxas is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 181 papers that have together received 6.0k indexed citations. Recurring topics across this work include AI in cancer detection (26 papers), Medical Image Segmentation Techniques (25 papers) and 3D Shape Modeling and Analysis (23 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (669 citations), Computer Vision and Pattern Recognition (3.3k citations) and Radiology, Nuclear Medicine and Imaging (1.5k citations). Dimitris Metaxas has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Shaoting Zhang, Demetri Terzopoulos, Junzhou Huang, Anant Madabhushi, Nick Foster, Xiaolei Huang, Fred S. Azar, Shu Wang, Jingjing Liu and Mitchell D. Schnall. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

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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