István Sulykos

472 citations
23 papers · 372 · h-index 13

Impact in

    • Multisensory perception and integration
    • Neuroscience and Music Perception
    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Face Recognition and Perception
    • Hearing Loss and Rehabilitation

Papers in

István Sulykos

23 papers receiving 365 citations

Peers

István Sulykos
Comparison fields: 5 of 43
  • Experimental and Cognitive Psychology 250
  • Cognitive Neuroscience 333
  • Sensory Systems 10
  • Social Psychology 40
  • Signal Processing 22
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Citations per field
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Citations per year

Countries citing papers authored by István Sulykos

Since Specialization
Citations

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

Fields of papers citing papers by István Sulykos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside István Sulykos, 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 István Sulykos Line = papers co-authored together István Sulykos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201152
2 201348
3 201241
4 200941
5 201725
6 201322
7 201514
8 201714
9 201313
10 201413
11 201912
12 201812
13 201412
14 201411
15 20179
16 20179
17 20137
18 20197
19 20186
20 20101

About István Sulykos

István Sulykos is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistics and Probability, Automotive Engineering and Control and Systems Engineering, having authored 23 papers that have together received 372 indexed citations. Recurring topics across this work include Multisensory perception and integration (18 papers), Neuroscience and Music Perception (17 papers), Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (6 papers), Tactile and Sensory Interactions (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers), Robotics and Automated Systems (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (250 citations), Cognitive Neuroscience (333 citations), Sensory Systems (10 citations), Social Psychology (40 citations) and Signal Processing (22 citations). István Sulykos has collaborated with scholars based in Hungary and United Kingdom. Frequent co-authors include István Czigler, Zsófia Anna Gaál, László Balázs, Bálint File, Szonya Durant, Péter Galambos, Péter Bárányi, Ferenc Honbolygó, Valéria Csépe and Andrea Kóbor. Their work appears in journals such as Brain Research, Frontiers in Human Neuroscience, International Journal of Psychophysiology, European Journal of Neuroscience and Attention Perception & Psychophysics.

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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