Viktor Vegh

1.1k citations
93 papers · 783 indexed · h-index 15

Impact in

Papers in

Viktor Vegh

89 papers receiving 772 citations

Peers

Viktor Vegh
Comparison fields: 5 of 105
  • Modeling and Simulation 106
  • Radiology, Nuclear Medicine and Imaging 373
  • Numerical Analysis 64
  • Nuclear and High Energy Physics 73
  • Spectroscopy 72
Replace Ricardo E. de Souza with:
Ricardo E. de Souza Brazil
Matt G. Hall United Kingdom
Stephen L. Keeling Austria
Daniel B. Rowe United States
Qi Duan China
Klaus Fritzsche Germany
Piero Colli Franzone Italy
Dominik Szczerba Switzerland
J.J.M. Cuppen Netherlands
Tomoya Takeuchi Japan
Viktor Vegh relative to Ricardo E. de Souza Brazil Ricardo E. de Souza's profile →
Citations per field
00.5×7.1×
Ricardo E. de Souza · 1×
Citations per year

Countries citing papers authored by Viktor Vegh

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Vegh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201654
2 201747
3 201239
4 202232
5 201528
6 201628
7 202221
8 201621
9 201920
10 202119
11 201718
12 201716
13 201815
14 202015
15 201915
16 200814
17 201014
18 201714
19 200813
20 200913

About Viktor Vegh

Viktor Vegh is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Spectroscopy, having authored 93 papers that have together received 783 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (53 papers), Advanced Neuroimaging Techniques and Applications (23 papers), Atomic and Subatomic Physics Research (15 papers), NMR spectroscopy and applications (14 papers), Medical Imaging Techniques and Applications (13 papers), Advanced NMR Techniques and Applications (11 papers), Functional Brain Connectivity Studies (8 papers) and Fractional Differential Equations Solutions (7 papers). The work is most often cited by research in Modeling and Simulation (106 citations), Radiology, Nuclear Medicine and Imaging (373 citations), Numerical Analysis (64 citations), Nuclear and High Energy Physics (73 citations) and Spectroscopy (72 citations). Viktor Vegh has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include David C. Reutens, Qiang Yu, Ian Turner, Quang M. Tieng, Ian M. Brereton, Fawang Liu, Markus Barth, Kieran O’Brien, Steffen Bollmann and Qianqian Yang. Their work appears in journals such as Concepts in Magnetic Resonance Part B, Magnetic Resonance in Medicine, NeuroImage, Scientific Reports and Magnetic Resonance 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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