Dimitris Metaxas

13.7k citations
181 papers · 6.0k indexed · 4 hit papers · h-index 40

Dimitris Metaxas

174 papers receiving 5.7k citations

Hit Papers

On th...1051991202620022014100200300400500

Peers

Dimitris Metaxas
Comparison fields: 5 of 173
  • Computer Graphics and Computer-Aided Design 669
  • Computer Vision and Pattern Recognition 3.3k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Aging 107
  • Computational Mechanics 1.2k
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Dimitris Metaxas United States
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Andriy Myronenko United States
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Victor Lempitsky Russia
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Dimitris Metaxas relative to Dimitris Metaxas United States Dimitris Metaxas's profile →
Citations per field
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Dimitris Metaxas · 1×
Citations per year

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

The 25 scholars most cited alongside Dimitris Metaxas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dimitris Metaxas Line = papers co-authored together Dimitris Metaxas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20246
4 202310
5 202316
6
On the challenges and perspectives of foundation models for medical image analysisbreakdown →
2023105
7
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistencybreakdown →
2022194
8 202275
9 202157
10 202127
11
Dual iterative hard thresholding
20202
12 202032
13
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning
20193
14
Unsupervised Domain Adaptation via Calibrating Uncertainties
20197
15 20196
16
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.
20174
17
Efficient k-support-norm regularized minimization via fully corrective frank-Wolfe method
20161
18 2011185
19 20075
20
Building Anthropometry-Based Virtual Human Models
199422

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), 3D Shape Modeling and Analysis (23 papers), Computer Graphics and Visualization Techniques (18 papers), Advanced Vision and Imaging (17 papers), Advanced MRI Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Advanced Neural Network Applications (14 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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