Mareike Thies

470 citations
35 papers · 227 · h-index 9

Impact in

Papers in

Mareike Thies

29 papers receiving 221 citations

Peers

Mareike Thies
Comparison fields: 5 of 50
  • Radiology, Nuclear Medicine and Imaging 96
  • Computer Vision and Pattern Recognition 59
  • Biomedical Engineering 100
  • Radiation 18
  • Health Informatics 2
Replace Zhenxing Huang with:
Zhenxing Huang China
Jun Xia China
Chengxiang Wang China
Alessa Hering Germany
Michael Manhart Germany
Weihua Zhang China
Hengtao Guo United States
Leixin Zhou United States
Michael Balda Germany
Mareike Thies relative to Zhenxing Huang China Zhenxing Huang's profile →
Citations per field
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Zhenxing Huang · 1×
Citations per year

Countries citing papers authored by Mareike Thies

Since Specialization
Citations

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

Fields of papers citing papers by Mareike Thies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mareike Thies, 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 Mareike Thies Line = papers co-authored together Mareike Thies links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202029
2 202028
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4 202221
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8 202313
9 20229
10 20237
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13 20244
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15 20224
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19 20222
20 20231

About Mareike Thies

Mareike Thies is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Radiation and Surgery, having authored 35 papers that have together received 227 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (18 papers), Advanced X-ray and CT Imaging (17 papers), Medical Image Segmentation Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Advanced MRI Techniques and Applications (4 papers), Medical Imaging and Analysis (3 papers), Advanced X-ray Imaging Techniques (3 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (96 citations), Computer Vision and Pattern Recognition (59 citations), Biomedical Engineering (100 citations), Radiation (18 citations) and Health Informatics (2 citations). Mareike Thies has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Andreas Maier, Mathias Unberath, Cong Gao, Yixing Huang, Russell H. Taylor, Fabian Wagner, Georg Schett, Jochen Hiller, Vincent Christlein and Oliver Aust. Their work appears in journals such as Scientific Reports, Medical Physics, Physics in Medicine and Biology, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

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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