Viktor Gál
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Face Recognition and Perception
- Neuroscience and Music Perception
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
-
- Multisensory perception and integration
Papers in
-
- Neural dynamics and brain function 14
- Face Recognition and Perception 5
- Functional Brain Connectivity Studies 4
-
- Neural Networks and Applications 5
- Co-authors
- Zoltán Vidnyánszky (12 shared papers)Zoltán Vidnyánszky (5 shared papers)Gábor Rudas (2 shared papers)Attila Andics (2 shared papers)Karl Magnus Petersson (1 shared paper)James M. McQueen (1 shared paper)Éva M. Bankó (6 shared papers)Petra Hermann (6 shared papers)
In The Last Decade
Viktor Gál
30 papers receiving 597 citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 361
- Experimental and Cognitive Psychology 138
- Sensory Systems 39
- Developmental Biology 14
- Computer Vision and Pattern Recognition 53
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 153 | |
| 2 | 2017 | 64 | |
| 3 | 2011 | 52 | |
| 4 | 2009 | 46 | |
| 5 | 2019 | 33 | |
| 6 | 2004 | 33 | |
| 7 | 2000 | 30 | |
| 8 | 2012 | 29 | |
| 9 | 2009 | 21 | |
| 10 | 2016 | 20 | |
| 11 | 2009 | 19 | |
| 12 | 2004 | 16 | |
| 13 | 2009 | 15 | |
| 14 | 2015 | 13 | |
| 15 | 2022 | 11 | |
| 16 | 2023 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2012 | 8 | |
| 19 | 2016 | 7 | |
| 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 34 papers that have together received 612 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), Advanced Image and Video Retrieval Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (361 citations), Experimental and Cognitive Psychology (138 citations), Sensory Systems (39 citations), Developmental Biology (14 citations) and Computer Vision and Pattern Recognition (53 citations). Viktor Gál has collaborated with scholars based in Hungary, Belgium and Germany. Frequent co-authors include Zoltán Vidnyánszky, Zoltán Vidnyánszky, Gábor Rudas, Attila Andics, Karl Magnus Petersson, James M. McQueen, Éva M. Bankó, Petra Hermann, Krisztián Búza and Gyula Kovács. Their work appears in journals such as European Journal of Neuroscience, NeuroImage, Journal of Neuroscience, Journal of the American Medical Informatics Association and Frontiers in Human Neuroscience.
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.