Korbinian Eckstein

679 citations
21 papers · 306 · h-index 9

Impact in

Papers in

Korbinian Eckstein

21 papers receiving 306 citations

Peers

Korbinian Eckstein
Comparison fields: 5 of 59
  • Radiology, Nuclear Medicine and Imaging 206
  • Cognitive Neuroscience 43
  • Neurology 27
  • Spectroscopy 25
  • Biophysics 8
Replace Kwok‐Shing Chan with:
Kwok‐Shing Chan Netherlands
Chan Hong Moon United States
Umesh Rudrapatna United Kingdom
Angela Jakary United States
Bing Yao United States
Christian Kames Canada
Ali Çağlar Özen Germany
Mariko Yoshida Takemura Japan
Mathias Davids United States
Ute Goerke United States
Korbinian Eckstein relative to Kwok‐Shing Chan Netherlands Kwok‐Shing Chan's profile →
Citations per field
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Kwok‐Shing Chan · 1×
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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 201770
3 201924
4 201922
5 202119
6 202118
7 201516
8 202014
9 201610
10 20227
11 20226
12 20215
13 20235
14 20255
15 20254
16
Towards robust QSM in cortical and sub-cortical regions of the human brain at 9.4T: influence of coil combination and masking strategies
20203
17 20252
18 20251
19 20231
20 20161

About Korbinian Eckstein

Korbinian Eckstein is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy, Cognitive Neuroscience, Anesthesiology and Pain Medicine and Biomedical Engineering, having authored 21 papers that have together received 306 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), Advanced NMR Techniques and Applications (4 papers), Functional Brain Connectivity Studies (3 papers), Pain Management and Treatment (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), MRI in cancer diagnosis (1 paper), Advanced X-ray and CT Imaging (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (206 citations), Cognitive Neuroscience (43 citations), Neurology (27 citations), Spectroscopy (25 citations) and Biophysics (8 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, Gilbert Hangel, Philipp Moser and Markus Barth. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, NeuroImage, Journal of NeuroEngineering and Rehabilitation and Human Brain Mapping.

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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