Gabriella Eördegh
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Tactile and Sensory Interactions
Papers in
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- Neural dynamics and brain function 13
- Visual perception and processing mechanisms 5
- Memory and Neural Mechanisms 3
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- Multisensory perception and integration 10
- Co-authors
- Attila Nagy (23 shared papers)György Benedek (7 shared papers)Masao Norita (3 shared papers)Antal Berényi (2 shared papers)Balázs Bodosi (12 shared papers)Márk Antal (4 shared papers)G. Benedek (3 shared papers)Szabolcs Kéri (8 shared papers)
In The Last Decade
Gabriella Eördegh
31 papers receiving 374 citations
Peers
Comparison fields: 5 of 65
- Sensory Systems 100
- Cognitive Neuroscience 196
- Experimental and Cognitive Psychology 123
- Periodontics 32
- Cellular and Molecular Neuroscience 75
Countries citing papers authored by Gabriella Eördegh
This map shows the geographic impact of Gabriella Eördegh'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 Gabriella Eördegh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Eördegh more than expected).
Fields of papers citing papers by Gabriella Eördegh
This network shows the impact of papers produced by Gabriella Eördegh. 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 Gabriella Eördegh. The network helps show where Gabriella Eördegh may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriella Eördegh, 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 | 2006 | 134 | |
| 2 | 2020 | 26 | |
| 3 | 2003 | 26 | |
| 4 | 2005 | 23 | |
| 5 | 2019 | 20 | |
| 6 | 2007 | 19 | |
| 7 | 2004 | 15 | |
| 8 | 2017 | 12 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2009 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2004 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2003 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 4 |
About Gabriella Eördegh
Gabriella Eördegh is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Sensory Systems, Cellular and Molecular Neuroscience and Clinical Psychology, having authored 34 papers that have together received 386 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Olfactory and Sensory Function Studies (11 papers), Multisensory perception and integration (10 papers), Neuroscience and Neuropharmacology Research (5 papers), Visual perception and processing mechanisms (5 papers), Oral microbiology and periodontitis research (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Sensory Systems (100 citations), Cognitive Neuroscience (196 citations), Experimental and Cognitive Psychology (123 citations), Periodontics (32 citations) and Cellular and Molecular Neuroscience (75 citations). Gabriella Eördegh has collaborated with scholars based in Hungary, Japan and Norway. Frequent co-authors include Attila Nagy, György Benedek, Masao Norita, Antal Berényi, Balázs Bodosi, Márk Antal, G. Benedek, Szabolcs Kéri, Gábor Braunitzer and Zoltán Chadaide. Their work appears in journals such as PLoS ONE, Scientific Reports, European Journal of Neuroscience, Neuroscience and Cephalalgia.
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.