A. Fehér

1.0k citations
14 papers · 860 · h-index 8

Impact in

Papers in

A. Fehér

13 papers receiving 815 citations

Peers

A. Fehér
Comparison fields: 5 of 69
  • Cognitive Neuroscience 747
  • Experimental and Cognitive Psychology 112
  • Ophthalmology 55
  • Social Psychology 115
  • Cellular and Molecular Neuroscience 75
Replace Claudine Habak with:
Claudine Habak Canada
Frederick L. Kitterle United States
Robert H. Cormack United States
T. Knutsen United States
Andrea Pavan Italy
Anthony Hayes Australia
Melanie J. Mayer United States
Glenn E. Meyer United States
Takanori Uka Japan
Claude Bonnet France
A. Fehér relative to Claudine Habak Canada Claudine Habak's profile →
Citations per field
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Claudine Habak · 1×
Citations per year

Countries citing papers authored by A. Fehér

Since Specialization
Citations

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

Fields of papers citing papers by A. Fehér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside A. Fehér, 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 A. Fehér Line = papers co-authored together A. Fehér links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1996340
2 1999262
3 199890
4 200656
5 200433
6 199729
7 200427
8 19967
9 19996
10 19964
11 20102
12 20102
13
Attending to attributes in double-conjunction texture segregation: The role of color, luminance, and orientation
19961
14 20041

About A. Fehér

A. Fehér is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Social Psychology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 860 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (8 papers), Neural dynamics and brain function (4 papers), Color Science and Applications (3 papers), Color perception and design (2 papers), Data Visualization and Analytics (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Geological Modeling and Analysis (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (747 citations), Experimental and Cognitive Psychology (112 citations), Ophthalmology (55 citations), Social Psychology (115 citations) and Cellular and Molecular Neuroscience (75 citations). A. Fehér has collaborated with scholars based in United States, Hungary and France. Frequent co-authors include Ilona Kovács, Thomas V. Papathomas, György Benedek, Petra Kozma, Béla Julesz, Steven M. Silverstein, Sandra Wilkniss, Joseph W. Ditre, Peter Gerhardstein and Lindsay S. Schenkel. Their work appears in journals such as Journal of Vision, Vision Research, Proceedings of the National Academy of Sciences, Perception and Cognitive Neuropsychiatry.

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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