Korbinian Eckstein

634 citations
20 papers · 281 · h-index 9

Impact in

Papers in

Korbinian Eckstein

20 papers receiving 281 citations

Peers

Korbinian Eckstein
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 220
  • Cognitive Neuroscience 51
  • Spectroscopy 43
  • Neurology 36
  • Biophysics 12
Replace Umesh Rudrapatna with:
Umesh Rudrapatna United Kingdom
Kwok‐Shing Chan Netherlands
Mariko Yoshida Takemura Japan
Christian Kames Canada
Angela Jakary United States
Ali Çağlar Özen Germany
Olof Leinhard Dahlqvist Sweden
Ute Goerke United States
Kerrin Pine Germany
Jurek A. Nordmeyer‐Massner Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Korbinian Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by Korbinian Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201768
2 202068
3 201922
4 201921
5 202117
6 202117
7 201516
8 202013
9 201610
10 20227
11 20226
12 20214
13 20233
14
Towards robust QSM in cortical and sub-cortical regions of the human brain at 9.4T: influence of coil combination and masking strategies
20203
15 20251
16 20251
17 20251
18
The traveling heads 2.0: Reproducibility of quantitative imaging methods at 7 Tesla
20191
19 20161
20 20231

About Korbinian Eckstein

Korbinian Eckstein is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Spectroscopy, Rehabilitation and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 281 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (14 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Advanced NMR Techniques and Applications (5 papers), Functional Brain Connectivity Studies (5 papers), Medical Imaging Techniques and Applications (3 papers), Cardiac Imaging and Diagnostics (2 papers), Pain Management and Treatment (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (220 citations), Cognitive Neuroscience (51 citations), Spectroscopy (43 citations), Neurology (36 citations) and Biophysics (12 citations). Korbinian Eckstein has collaborated with scholars based in Austria, Australia and United States. Frequent co-authors include Simon Robinson, Siegfried Trattnig, Barbara Dymerska, Wolfgang Bogner, Karin Shmueli, Bernard Siow, Karin Poljanc, Markus Barth, Gilbert Hangel and Philipp Moser. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, NMR in Biomedicine, Human Brain Mapping and Journal of NeuroEngineering and Rehabilitation.

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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