Ildikó Vajda
Impact in
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neurobiology and Insect Physiology Research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
Papers in
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- Neural dynamics and brain function 7
- Visual perception and processing mechanisms 5
- EEG and Brain-Computer Interfaces 1
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- Neuroscience and Neural Engineering 3
- Neurobiology and Insect Physiology Research 2
- Co-authors
- P.S. Wolters (2 shared papers)Jaap van Pelt (2 shared papers)Michela Chiappalone (2 shared papers)Sérgio Martinoia (2 shared papers)G.J.A. Ramakers (1 shared paper)M.A. Corner (1 shared paper)Antonio Novellino (1 shared paper)Alessandro Vato (1 shared paper)
- Journals
- Visual Neuroscience (2 papers)Neurocomputing (1 paper)Progress in brain research (1 paper)Vision Research (1 paper)Biophysical Journal (1 paper)
- Partner nations
- NetherlandsItalyUnited States
In The Last Decade
Ildikó Vajda
8 papers receiving 358 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 285
- Cognitive Neuroscience 264
- Electrochemistry 21
- Biophysics 12
- Neurology 10
Countries citing papers authored by Ildikó Vajda
This map shows the geographic impact of Ildikó Vajda'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 Ildikó Vajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ildikó Vajda more than expected).
Fields of papers citing papers by Ildikó Vajda
This network shows the impact of papers produced by Ildikó Vajda. 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 Ildikó Vajda. The network helps show where Ildikó Vajda may publish in the future.
Co-authors
The 17 scholars most cited alongside Ildikó Vajda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 131 | |
| 2 | 2004 | 127 | |
| 3 | 2008 | 50 | |
| 4 | 2003 | 32 | |
| 5 | 2004 | 11 | |
| 6 | 2006 | 6 | |
| 7 | 2002 | 2 | |
| 8 | 2005 | 1 |
About Ildikó Vajda
Ildikó Vajda is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Geometry and Topology, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 8 papers that have together received 360 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (5 papers), Neuroscience and Neural Engineering (3 papers), Neurobiology and Insect Physiology Research (2 papers), Advanced Scientific Research Methods (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (285 citations), Cognitive Neuroscience (264 citations), Electrochemistry (21 citations), Biophysics (12 citations) and Neurology (10 citations). Ildikó Vajda has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include P.S. Wolters, Jaap van Pelt, Michela Chiappalone, Sérgio Martinoia, G.J.A. Ramakers, M.A. Corner, Antonio Novellino, Alessandro Vato, J. van Pelt and Martin J. Lankheet. Their work appears in journals such as Visual Neuroscience, Neurocomputing, Progress in brain research, Vision Research and Biophysical Journal.
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.