Viktor Gál

824 citations
32 papers · 559 indexed · h-index 14
Topics
Neural dynamics and brain function (15 papers)Face Recognition and Perception (5 papers)Advanced Memory and Neural Computing (5 papers)
Partner nations
HungaryBelgiumGermany

In The Last Decade

Viktor Gál

28 papers receiving 547 citations

Peers

Viktor Gál
Comparison fields: 5 of 93
  • Cognitive Neuroscience 346
  • Experimental and Cognitive Psychology 128
  • Artificial Intelligence 57
  • Molecular Biology 55
  • Social Psychology 49
Replace Chrysa Lithari with:
Chrysa Lithari Greece
Jing Xia China
Emily Allen United States
Zoltán Vidnyánszky Hungary
Vikranth R. Bejjanki United States
Etienne Combrisson France
Carola Tegeler United States
Barry Devereux United Kingdom
Travis Meyer United States
Viktor Gál relative to Chrysa Lithari Greece Chrysa Lithari's profile →
Citations per field
00.5×1.5×1.8×
Chrysa Lithari · 1×
Citations per year

Countries citing papers authored by Viktor Gál

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Viktor Gál

This figure shows the co-authorship network connecting the top 25 collaborators of Viktor Gál. A scholar is included among the top collaborators of Viktor Gál 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 Gál. Viktor Gál 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
#WorkIndexed citations
1 1
2 8
3 1
4 10
5 31
6 8
7 59
8 6
9 17
10 28
11 0
12 130
13
Neural Correlates of Fovea-related Impairment of Visual Object Processing in Amblyopia
0
14 42
15 21
16 19
17 15
18
Methods for the assessment of multineural and multivariate activity patterns and some CNN architecture implementations
1
19 31
20 29

About Viktor Gál

Viktor Gál is a scholar working on Cognitive Neuroscience, Sensory Systems and Experimental and Cognitive Psychology, having authored 32 papers that have together received 559 indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Face Recognition and Perception (5 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Cognitive Neuroscience (346 citations), Experimental and Cognitive Psychology (128 citations) and Sensory Systems (40 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, James M. McQueen, Karl Magnus Petersson, Petra Hermann, Krisztián Búza, Gyula Kovács and Domonkos Tikk. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Scientific Reports.

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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