G. Vécsey

51 papers receiving 526 citations

Peers

G. Vécsey
Comparison fields: 5 of 14
  • Biomedical Engineering 579
  • Nuclear and High Energy Physics 15
  • Energy Engineering and Power Technology 2
  • Aerospace Engineering 10
  • Computational Mechanics 7
Replace G. Zahn with:
G. Zahn Germany
Maurizio Bagnasco Switzerland
Elena R. Zapretilina Russia
K. Seo Japan
Sander Wessel Netherlands
Makoto Sugimoto Japan
N. Bagrets Germany
Shinnichi Nose Japan
J. Fleiter Switzerland
L.T. Summers United States
G. Vécsey relative to G. Zahn Germany G. Zahn's profile →
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Citations per year

Countries citing papers authored by G. Vécsey

Since Specialization
Citations

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

Fields of papers citing papers by G. Vécsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002125
2 200165
3 200242
4 199935
5
Test results for the high field conductor of the ITER central solenoid model coil
200029
6 198127
7 200227
8 200120
9 199819
10 199715
11 199314
12 199814
13 200114
14 199210
15 200010
16
Performance Results of Nb3Sn Cable-in-Conduit Conductors under cyclic Load
200110
17 200210
18 19839
19 19939
20 19949

About G. Vécsey

G. Vécsey is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence and Nuclear Energy and Engineering, having authored 51 papers that have together received 608 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (50 papers), Nuclear reactor physics and engineering (1 paper), Neural Networks and Applications (1 paper), Nuclear Engineering Thermal-Hydraulics (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Biomedical Engineering (579 citations), Nuclear and High Energy Physics (15 citations), Energy Engineering and Power Technology (2 citations), Aerospace Engineering (10 citations) and Computational Mechanics (7 citations). G. Vécsey has collaborated with scholars based in Switzerland, United States and Japan. Frequent co-authors include Alesa Fuchs, P. Bruzzone, Boris Stepanov, A. Anghel, Manuel Vogel, B. Jakob, Claudio Marinucci, Elena R. Zapretilina, Rainer Wesche and B. Blau. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Transactions on Applied Superconductivity, Cryogenics, Fusion Engineering and Design and Nuclear Fusion.

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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