Thomas Gneiting

711 citations
14 papers · 622 · h-index 9

Impact in

Papers in

    • MRI in cancer diagnosis 9
    • Radiomics and Machine Learning in Medical Imaging 5
    • Advanced MRI Techniques and Applications 4
    • Medical Imaging Techniques and Applications 2
    • Barrier Structure and Function Studies 2

Thomas Gneiting

14 papers receiving 602 citations

Peers

Thomas Gneiting
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 355
  • Nuclear and High Energy Physics 65
  • Biophysics 24
  • Spectroscopy 68
  • Oncology 58
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Citations per year

Countries citing papers authored by Thomas Gneiting

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Gneiting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Tumor microcirculation evaluated by dynamic magnetic resonance imaging predicts therapy outcome for primary rectal carcinoma.
2001100
2 199297
3 199796
4 200078
5 199069
6 199868
7 199039
8 199331
9 200126
10 19996
11 19965
12 20003
13 19963
14
Quantification of Gd-DTPA Concentration-Time Curves in Mice Using Dynamic T1 Mapping with Snapshot FLASH Sequences
19941

About Thomas Gneiting

Thomas Gneiting is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Materials Chemistry, Molecular Biology and Pathology and Forensic Medicine, having authored 14 papers that have together received 622 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced MRI Techniques and Applications (4 papers), Medical Imaging Techniques and Applications (2 papers), Barrier Structure and Function Studies (2 papers), Material Dynamics and Properties (1 paper), NMR spectroscopy and applications (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (355 citations), Nuclear and High Energy Physics (65 citations), Biophysics (24 citations), Spectroscopy (68 citations) and Oncology (58 citations). Thomas Gneiting has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Jürgen Griebel, Rainer Kimmich, Christian Kremser, Jutta Syha, Axel Haase, Stephan G. Nekolla, Paul Debbage, Ralf Deichmann, Werner Judmaier and Alexander de Vries. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Strahlentherapie und Onkologie, Journal of Computer Assisted Tomography, Journal of Magnetic Resonance Imaging and 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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