Nicolas Kunz

870 citations
26 papers · 624 · h-index 14

Impact in

Papers in

Nicolas Kunz

25 papers receiving 622 citations

Peers

Nicolas Kunz
Comparison fields: 5 of 82
  • Radiology, Nuclear Medicine and Imaging 409
  • Cognitive Neuroscience 153
  • Pediatrics, Perinatology and Child Health 152
  • Orthopedics and Sports Medicine 48
  • Spectroscopy 70
Replace Steve C. N. Hui with:
Steve C. N. Hui United States
Ilana R. Leppert Canada
Nirav Barapatre Germany
Russell Dibb United States
Carsten Stüber Germany
Tarunya Arun United Kingdom
Martin D. King United Kingdom
Mohamed Tachrount United Kingdom
Ileana Jelescu Switzerland
Tanguy Duval Canada
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Citations per field
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Citations per year

Countries citing papers authored by Nicolas Kunz

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014130
2 2013107
3 201456
4 201950
5 201047
6 201836
7 201030
8 202027
9 201323
10 202119
11 201016
12 201315
13 201614
14 202014
15 201212
16 20229
17 20154
18 20174
19
Robust myelin water imaging from multi-echo T2 data using second-order Tikhonov regularization with control points
20193
20
Fast bias field correction for 9.4 tesla magnetic resonance imaging
20082

About Nicolas Kunz

Nicolas Kunz is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Spectroscopy, Computer Vision and Pattern Recognition and Surgery, having authored 26 papers that have together received 624 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (17 papers), Advanced Neuroimaging Techniques and Applications (13 papers), MRI in cancer diagnosis (5 papers), Advanced NMR Techniques and Applications (4 papers), Neonatal and fetal brain pathology (4 papers), Medical Imaging Techniques and Applications (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (409 citations), Cognitive Neuroscience (153 citations), Pediatrics, Perinatology and Child Health (152 citations), Orthopedics and Sports Medicine (48 citations) and Spectroscopy (70 citations). Nicolas Kunz has collaborated with scholars based in Switzerland, United Kingdom and Spain. Frequent co-authors include Rolf Gruetter, Petra S. Hüppi, François Lazeyras, Ralf Mekle, Benoît Schaller, Lijing Xin, Stéphane Sizonenko, Daniel C. Alexander, Kieran O’Brien and Hui Zhang. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, NMR in Biomedicine, Journal of Magnetic Resonance and Scientific Reports.

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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