Thomas Benkert

1.7k citations
96 papers · 1.2k · h-index 19

Impact in

    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
    • Advanced Neuroimaging Techniques and Applications
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Cardiac Imaging and Diagnostics

Papers in

Thomas Benkert

93 papers receiving 1.2k citations

Peers

Thomas Benkert
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 975
  • Health Informatics 11
  • Atomic and Molecular Physics, and Optics 241
  • Pulmonary and Respiratory Medicine 201
  • Critical Care and Intensive Care Medicine 29
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Benkert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Benkert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016223
2 201659
3 202140
4 201837
5 201737
6 202233
7 202230
8 202127
9 202026
10 202025
11 202321
12 202221
13 201421
14 202320
15 202119
16 202119
17 202318
18 202218
19 202318
20 202017

About Thomas Benkert

Thomas Benkert is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Pulmonary and Respiratory Medicine, Radiation and Critical Care and Intensive Care Medicine, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (64 papers), MRI in cancer diagnosis (52 papers), Advanced Neuroimaging Techniques and Applications (38 papers), Atomic and Subatomic Physics Research (23 papers), Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Lung Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (975 citations), Health Informatics (11 citations), Atomic and Molecular Physics, and Optics (241 citations), Pulmonary and Respiratory Medicine (201 citations) and Critical Care and Intensive Care Medicine (29 citations). Thomas Benkert has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Kai Tobias Block, Hersh Chandarana, Li Feng, Daniel K. Sodickson, Ricardo Otazo, Elisabeth Weiland, Dominik Nickel, Saif Afat, Sebastian Gassenmaier and Corona Metz. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, European Journal of Radiology, Academic Radiology and European Radiology.

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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