Viktor Vegh

1.1k total citations
93 papers, 783 citations indexed

About

Viktor Vegh is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Viktor Vegh has authored 93 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Atomic and Molecular Physics, and Optics and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Viktor Vegh's work include Advanced MRI Techniques and Applications (53 papers), Advanced Neuroimaging Techniques and Applications (23 papers) and Atomic and Subatomic Physics Research (15 papers). Viktor Vegh is often cited by papers focused on Advanced MRI Techniques and Applications (53 papers), Advanced Neuroimaging Techniques and Applications (23 papers) and Atomic and Subatomic Physics Research (15 papers). Viktor Vegh collaborates with scholars based in Australia, United States and Switzerland. Viktor Vegh's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Viktor Vegh

89 papers receiving 772 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Viktor Vegh Australia 15 373 106 104 100 75 93 783
Ricardo E. de Souza Brazil 16 184 0.5× 32 0.3× 97 0.9× 106 1.1× 15 0.2× 54 613
Piero Colli Franzone Italy 22 149 0.4× 27 0.3× 214 2.1× 33 0.3× 199 2.7× 50 1.5k
Stephen L. Keeling Austria 12 618 1.7× 21 0.2× 53 0.5× 46 0.5× 16 0.2× 38 889
Matt G. Hall United Kingdom 16 1.5k 4.0× 124 1.2× 48 0.5× 12 0.1× 173 2.3× 40 1.8k
Daniel B. Rowe United States 16 835 2.2× 31 0.3× 15 0.1× 50 0.5× 25 0.3× 57 1.2k
Qi Duan China 19 310 0.8× 5 0.0× 237 2.3× 97 1.0× 97 1.3× 69 1.1k
Tomoya Takeuchi Japan 14 57 0.2× 39 0.4× 155 1.5× 23 0.2× 20 0.3× 29 727
L. Guerri Italy 15 157 0.4× 10 0.1× 98 0.9× 19 0.2× 102 1.4× 22 849
Glenn Terje Lines Norway 17 51 0.1× 30 0.3× 125 1.2× 14 0.1× 349 4.7× 48 1.0k
Dominik Szczerba Switzerland 12 728 2.0× 41 0.4× 995 9.6× 170 1.7× 48 0.6× 28 1.8k

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-authorship network of co-authors of Viktor Vegh

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Vegh. A scholar is included among the top collaborators of Viktor Vegh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Viktor Vegh. Viktor Vegh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Parekh, Harendra S., et al.. (2024). Intranasal delivery of imaging agents to the brain. Theranostics. 14(13). 5022–5101. 9 indexed citations
2.
Reutens, David C., et al.. (2024). Image synthesis of interictal SPECT from MRI and PET using machine learning. Frontiers in Neurology. 15. 1383773–1383773. 8 indexed citations
3.
Kurniawan, Nyoman D., et al.. (2023). An unsupervised deep learning-based image translation method for retrospective motion correction of high resolution kidney MRI. Intelligence-Based Medicine. 8. 100108–100108. 3 indexed citations
4.
Edwards, Thomas L., et al.. (2022). A CNN Based Software Gradiometer for Electromagnetic Background Noise Reduction in Low Field MRI Applications. IEEE Transactions on Medical Imaging. 41(5). 1007–1016. 12 indexed citations
5.
6.
To, Xuan Vinh, Viktor Vegh, & Fatima Nasrallah. (2021). Towards data-driven group inferences of resting-state fMRI data in rodents: Comparison of group ICA, GIG-ICA, and IVA-GL. Journal of Neuroscience Methods. 366. 109411–109411. 4 indexed citations
7.
Soni, Neha, Viktor Vegh, Xuan Vinh To, et al.. (2020). Combined Diffusion Tensor Imaging and Quantitative Susceptibility Mapping Discern Discrete Facets of White Matter Pathology Post-injury in the Rodent Brain. Frontiers in Neurology. 11. 153–153. 15 indexed citations
8.
Reutens, David C., et al.. (2018). Signal compartments in ultra-high field multi-echo gradient echo MRI reflect underlying tissue microstructure in the brain. NeuroImage. 178. 403–413. 7 indexed citations
9.
Yu, Qiang, David C. Reutens, & Viktor Vegh. (2018). Can anomalous diffusion models in magnetic resonance imaging be used to characterise white matter tissue microstructure?. NeuroImage. 175. 122–137. 15 indexed citations
10.
Liu, Fawang, et al.. (2017). Multi-term time-fractional Bloch equations and application in magnetic resonance imaging. Journal of Computational and Applied Mathematics. 319. 308–319. 47 indexed citations
11.
Vogel, Michael, et al.. (2016). Rotatable Small Permanent Magnet Array for Ultra-Low Field Nuclear Magnetic Resonance Instrumentation: A Concept Study. PLoS ONE. 11(6). e0157040–e0157040. 11 indexed citations
12.
Vegh, Viktor, et al.. (2014). MRI signal phase oscillates with neuronal activity in cerebral cortex: Implications for neuronal current imaging. NeuroImage. 94. 1–11. 10 indexed citations
13.
Widiapradja, Alexander, Viktor Vegh, Silvia Manzanero, et al.. (2012). Intravenous immunoglobulin protects neurons against amyloid beta‐peptide toxicity and ischemic stroke by attenuating multiple cell death pathways. Journal of Neurochemistry. 122(2). 321–332. 39 indexed citations
14.
Vegh, Viktor, et al.. (2012). The Laminar Cortex Model: A New Continuum Cortex Model Incorporating Laminar Architecture. PLoS Computational Biology. 8(10). e1002733–e1002733. 8 indexed citations
15.
Vegh, Viktor, et al.. (2012). High-field magnetic resonance imaging using solenoid radiofrequency coils. Magnetic Resonance Imaging. 30(8). 1177–1185. 4 indexed citations
16.
Vegh, Viktor & Quang M. Tieng. (2011). Unconstrained real valued optimization based on stochastic differential equations. International journal of innovative computing, information & control. 7(11). 6235–6246.
17.
Vegh, Viktor, Gregory K. Pierens, & Quang M. Tieng. (2011). A variant of differential evolution for discrete optimization problems requiring mutually distinct parameters. International journal of innovative computing, information & control. 7(2). 897–914. 6 indexed citations
18.
Yang, Zhengyi, et al.. (2008). Spherical harmonic representation based haptic rendering for medical image perception. Queensland's institutional digital repository (The University of Queensland). 21(18). 3158–3158. 1 indexed citations
19.
Yang, Zhengyi, et al.. (2008). Deformable force feedback model constructed from magnetic resonance images for haptic interaction. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
20.
Vegh, Viktor & Ian Turner. (2005). A hybrid technique for computing the power distribution generated in a lossy medium during microwave heating. Journal of Computational and Applied Mathematics. 197(1). 122–140. 8 indexed citations

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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