Viktor Gál
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Neuroscience and Music Perception
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
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- Multisensory perception and integration
Papers in
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- Neural dynamics and brain function 14
- Face Recognition and Perception 5
- Functional Brain Connectivity Studies 4
- Visual perception and processing mechanisms 4
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- Neural Networks and Applications 5
- Co-authors
- Zoltán Vidnyánszky (12 shared papers)Zoltán Vidnyánszky (5 shared papers)Attila Andics (2 shared papers)Gábor Rudas (2 shared papers)Éva M. Bankó (6 shared papers)Karl Magnus Petersson (1 shared paper)Petra Hermann (6 shared papers)James M. McQueen (1 shared paper)
In The Last Decade
Viktor Gál
28 papers receiving 554 citations
Peers
Comparison fields: 5 of 93
- Cognitive Neuroscience 341
- Experimental and Cognitive Psychology 123
- Sensory Systems 38
- Developmental Biology 13
- Signal Processing 24
Countries citing papers authored by Viktor Gál
This map shows the geographic impact of Viktor Gál'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 Gál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Gál more than expected).
Fields of papers citing papers by Viktor Gál
This network shows the impact of papers produced by Viktor Gál. 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 Gál. The network helps show where Viktor Gál may publish in the future.
Co-authors
The 25 scholars most cited alongside Viktor Gál, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 131 | |
| 2 | 2017 | 61 | |
| 3 | 2011 | 51 | |
| 4 | 2009 | 43 | |
| 5 | 2019 | 31 | |
| 6 | 2004 | 31 | |
| 7 | 2000 | 29 | |
| 8 | 2012 | 28 | |
| 9 | 2009 | 21 | |
| 10 | 2009 | 19 | |
| 11 | 2016 | 17 | |
| 12 | 2009 | 15 | |
| 13 | 2004 | 14 | |
| 14 | 2015 | 13 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2012 | 8 | |
| 19 | 2016 | 6 | |
| 20 | 2002 | 5 |
About Viktor Gál
Viktor Gál is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 32 papers that have together received 565 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Advanced Memory and Neural Computing (5 papers), Face Recognition and Perception (5 papers), Neural Networks and Applications (5 papers), Neural Networks Stability and Synchronization (4 papers), Functional Brain Connectivity Studies (4 papers), Visual perception and processing mechanisms (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (341 citations), Experimental and Cognitive Psychology (123 citations), Sensory Systems (38 citations), Developmental Biology (13 citations) and Signal Processing (24 citations). Viktor Gál has collaborated with scholars based in Hungary, Belgium and Germany. Frequent co-authors include Zoltán Vidnyánszky, Zoltán Vidnyánszky, Attila Andics, Gábor Rudas, Éva M. Bankó, Karl Magnus Petersson, Petra Hermann, James M. McQueen, Krisztián Búza and Gyula Kovács. Their work appears in journals such as Journal of Neuroscience, European Journal of Neuroscience, NeuroImage, Neuroreport and Journal of the American Medical Informatics Association.
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.