Pascal Stang

2.9k citations
20 papers · 442 · h-index 13

Impact in

Papers in

Pascal Stang

19 papers receiving 423 citations

Peers

Pascal Stang
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 182
  • Biophysics 25
  • Biomedical Engineering 166
  • Spectroscopy 45
  • Health Informatics 3
Replace Felipe Aguel with:
Felipe Aguel United States
Yujiao Zhao China
Brian Burns United States
Desmond Yeo United States
Sam Chang United States
Hanno Homann Germany
E.U. Mumcuoglu United States
Takahiro Nishimura Japan
Robert K. Rowe United States
Kelvin J. Layton Australia
Pascal Stang relative to Felipe Aguel United States Felipe Aguel's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Pascal Stang

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Stang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2009109
2 201445
3 201139
4 201038
5 201928
6 201024
7 201021
8 201018
9 201417
10 201716
11 200313
12 200312
13 201412
14 201110
15 201710
16 20059
17
A Standardized, Distributed Computing Architecture: Results from Three Universities
20059
18 20116
19
A Distributed Computing Architecture for Small Satellite and Multi-Spacecraft Missions
20026
20 20250

About Pascal Stang

Pascal Stang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), Spacecraft Design and Technology (4 papers), Atomic and Subatomic Physics Research (3 papers), Wireless Power Transfer Systems (2 papers), Electron Spin Resonance Studies (2 papers), Distributed and Parallel Computing Systems (2 papers), Ultrasound and Hyperthermia Applications (2 papers) and Ultrasound Imaging and Elastography (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (182 citations), Biophysics (25 citations), Biomedical Engineering (166 citations), Spectroscopy (45 citations) and Health Informatics (3 citations). Pascal Stang has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Greig Scott, John M. Pauly, Steven Conolly, Patrick Goodwill, Adam B. Kerr, Christopher Kitts, Joana Santos, Bryan Palmintier, Kang‐Hyun Ahn and Dimitre Hristov. Their work appears in journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging, Concepts in Magnetic Resonance Part B, Journal of Magnetic Resonance and Digital Commons - USU (Utah State University).

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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