John Melonakos

405 citations
18 papers · 313 · h-index 8

Impact in

Papers in

John Melonakos

18 papers receiving 291 citations

Peers

John Melonakos
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 139
  • Radiology, Nuclear Medicine and Imaging 84
  • Hardware and Architecture 31
  • Computer Graphics and Computer-Aided Design 14
  • Applied Mathematics 33
Replace Christian Feddern with:
Christian Feddern Germany
Carole Le Guyader France
Bei Tang United States
P. Brigger Switzerland
Da Chen France
Y.P. Chien United States
Chang-Ock Lee South Korea
Hongbin Guo United States
Markus Unger Austria
M. Rao United States
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Citations per field
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Citations per year

Countries citing papers authored by John Melonakos

Since Specialization
Citations

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

Fields of papers citing papers by John Melonakos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside John Melonakos, 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 John Melonakos Line = papers co-authored together John Melonakos links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200898
2 200861
3 200734
4 201234
5 201116
6 200610
7 200810
8 20079
9 20088
10 20075
11 20054
12
Multi-resolution 3D Nonrigid Registration via Optimal Mass Transport on the GPU
20074
13 20074
14
Tubular Surface Evolution for Segmentation of the Cingulum Bundle From DW-MRI
20084
15
Detection of Polyps via Shape and Appearance Modeling
20084
16 20063
17 20063
18 20072

About John Melonakos

John Melonakos is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Hardware and Architecture, Oncology and Computer Graphics and Computer-Aided Design, having authored 18 papers that have together received 313 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Parallel Computing and Optimization Techniques (2 papers), Colorectal Cancer Screening and Detection (2 papers), Computational Geometry and Mesh Generation (1 paper), 3D Shape Modeling and Analysis (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (139 citations), Radiology, Nuclear Medicine and Imaging (84 citations), Hardware and Architecture (31 citations), Computer Graphics and Computer-Aided Design (14 citations) and Applied Mathematics (33 citations). John Melonakos has collaborated with scholars based in United States. Frequent co-authors include Allen Tannenbaum, Éric Pichon, Sigurd Angenent, Elias El Haber, Marc Niethammer, Marek Kubicki, Chris McClanahan, Ramsey A. Al-Hakim, James Fallon and Shawn Lankton. Their work appears in journals such as NeuroImage, IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis, SMARTech Repository (Georgia Institute of Technology) and INRIA a CCSD electronic archive server.

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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