Arman Abrahamyan

573 citations
14 papers · 351 · h-index 10

Impact in

    • Neural dynamics and brain function
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Functional Brain Connectivity Studies
    • Face Recognition and Perception
    • EEG and Brain-Computer Interfaces
  • Neurology top 10%
    • Transcranial Magnetic Stimulation Studies

Papers in

    • Visual perception and processing mechanisms 5
    • Neural and Behavioral Psychology Studies 4
    • Face Recognition and Perception 3
    • Neural dynamics and brain function 3
    • Transcranial Magnetic Stimulation Studies 4

Arman Abrahamyan

13 papers receiving 345 citations

Peers

Arman Abrahamyan
Comparison fields: 5 of 58
  • Cognitive Neuroscience 274
  • Neurology 81
  • General Decision Sciences 12
  • Sensory Systems 15
  • Experimental and Cognitive Psychology 30
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Citations per field
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Citations per year

Countries citing papers authored by Arman Abrahamyan

Since Specialization
Citations

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

Fields of papers citing papers by Arman Abrahamyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arman Abrahamyan, 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 Arman Abrahamyan Line = papers co-authored together Arman Abrahamyan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2016134
2 201151
3 201129
4 201327
5 201522
6 200822
7 201116
8 201616
9 201712
10 202010
11 20096
12 20085
13
Attentional capture of emotional static and dynamic hand gestures and faces : the effect of valence in a novel stroop-based paradigm
20081
14 20250

About Arman Abrahamyan

Arman Abrahamyan is a scholar working on Cognitive Neuroscience, Neurology, Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 351 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (5 papers), Transcranial Magnetic Stimulation Studies (4 papers), Neural and Behavioral Psychology Studies (4 papers), Face Recognition and Perception (3 papers), Neural dynamics and brain function (3 papers), Child and Animal Learning Development (1 paper), EFL/ESL Teaching and Learning (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Cognitive Neuroscience (274 citations), Neurology (81 citations), General Decision Sciences (12 citations), Sensory Systems (15 citations) and Experimental and Cognitive Psychology (30 citations). Arman Abrahamyan has collaborated with scholars based in Australia, Japan and Italy. Frequent co-authors include Justin A. Harris, Steven C. Dakin, Matteo Carandini, Justin L. Gardner, Laura Silva, Colin W. G. Clifford, Ehsan Arabzadeh, Manuela Ruzzoli, David Lloyd and Catherine Stevens. Their work appears in journals such as PLoS ONE, Brain stimulation, Brain Topography, Neuroscience and Journal of 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.

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