Andrew Mehnert

1.2k citations
65 papers · 896 indexed · h-index 13
Topics
MRI in cancer diagnosis (15 papers)Medical Image Segmentation Techniques (12 papers)Advanced MRI Techniques and Applications (12 papers)

In The Last Decade

Andrew Mehnert

62 papers receiving 841 citations

Peers

Andrew Mehnert
Comparison fields: 5 of 121
  • Radiology, Nuclear Medicine and Imaging 327
  • Computer Vision and Pattern Recognition 302
  • Artificial Intelligence 139
  • Biomedical Engineering 137
  • Ophthalmology 107
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Cheng Li China
Markku Hauta‐Kasari Finland
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Thomas Koller Switzerland
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Andrew Mehnert relative to Cheng Li China Cheng Li's profile →
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Countries citing papers authored by Andrew Mehnert

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Mehnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Mehnert

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Mehnert. A scholar is included among the top collaborators of Andrew Mehnert 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 Andrew Mehnert. Andrew Mehnert 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
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3 0
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5 2
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8 5
9 3
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Measurement of spatial and temporal retinal perfusion heterogeneity using OCTA
1
11 3
12 24
13 101
14 16
15 5
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Multi-modal MR Brain Segmentation Using Bayesian-based Adaptive MeanShift (BAMS)
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17 56
18 10
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Hardware accelerated visualization of parametrically mapped dynamic breast MRI data
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20 7

About Andrew Mehnert

Andrew Mehnert is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 896 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (15 papers), Medical Image Segmentation Techniques (12 papers) and Advanced MRI Techniques and Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (302 citations), Radiology, Nuclear Medicine and Imaging (327 citations) and Ophthalmology (107 citations). Andrew Mehnert has collaborated with scholars based in Australia, Sweden and United States. Frequent co-authors include Paul Jackway, ‪Stuart Crozier‬, Michael W. Mahoney, Dominic Kennedy, Dao‐Yi Yu, Yaniv Gal, Paula K. Yu, Andrew P. Bradley, Marinko V. Šarunic and Stephen J. Cringle. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

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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