Daniel Nicolas Splitthoff

568 citations
19 papers · 421 · h-index 9

Impact in

Papers in

Daniel Nicolas Splitthoff

15 papers receiving 415 citations

Peers

Daniel Nicolas Splitthoff
Comparison fields: 5 of 84
  • Radiology, Nuclear Medicine and Imaging 181
  • Computer Vision and Pattern Recognition 93
  • Artificial Intelligence 93
  • Biophysics 9
  • Health Informatics 2
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Ashish Bora United States
Hugues Benoit-Cattin France
Zhuo‐Xu Cui China
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Citations per year

Countries citing papers authored by Daniel Nicolas Splitthoff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nicolas Splitthoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2011170
2 201990
3 202028
4 202227
5 200922
6 202119
7 202015
8 201314
9 202111
10 20228
11 20238
12 20103
13 20233
14 20222
15 20241
16 20240
17 20240
18 20240
19 20240

About Daniel Nicolas Splitthoff

Daniel Nicolas Splitthoff is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Surgery and Molecular Biology, having authored 19 papers that have together received 421 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (8 papers), Medical Imaging Techniques and Applications (4 papers), Atomic and Subatomic Physics Research (3 papers), Medical Image Segmentation Techniques (2 papers), Advanced X-ray Imaging Techniques (1 paper), Advanced Optical Sensing Technologies (1 paper), Lanthanide and Transition Metal Complexes (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (181 citations), Computer Vision and Pattern Recognition (93 citations), Artificial Intelligence (93 citations), Biophysics (9 citations) and Health Informatics (2 citations). Daniel Nicolas Splitthoff has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bjoern Menze, B. Michael Kelm, Fred A. Hamprecht, Ullrich Koethe, Stephen Cauley, Kawin Setsompop, Lawrence L. Wald, Maxim Zaitsev, Melissa W. Haskell and Josef Pfeuffer. Their work appears in journals such as Magnetic Resonance in Medicine, European Radiology, American Journal of Neuroradiology, Magnetic Resonance Materials in Physics Biology and Medicine and IEEE Transactions on Medical Imaging.

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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