Franz Aiple
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Spatial Neglect and Hemispheric Dysfunction
- Memory and Neural Mechanisms
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- Multisensory perception and integration
Papers in
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- Visual perception and processing mechanisms 7
- Neural dynamics and brain function 6
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- Neuroscience and Neural Engineering 3
- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Jürgen Krüger (4 shared papers)Burkhart Fischer (4 shared papers)Heike Weber (3 shared papers)Monica Biscaldi (2 shared papers)А. В. Латанов (1 shared paper)Michael Bach (1 shared paper)G. Hertting (1 shared paper)Rolf Jackisch (1 shared paper)
- Journals
- Experimental Brain Research (3 papers)Brain Research (2 papers)Neurological Research (1 paper)Behavioral and Brain Sciences (1 paper)Visual Neuroscience (1 paper)
- Partner nations
- GermanyRussiaUnited States
In The Last Decade
Franz Aiple
9 papers receiving 582 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 511
- Experimental and Cognitive Psychology 91
- Cellular and Molecular Neuroscience 110
- Neurology 42
- Human-Computer Interaction 25
Countries citing papers authored by Franz Aiple
This map shows the geographic impact of Franz Aiple'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 Franz Aiple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Aiple more than expected).
Fields of papers citing papers by Franz Aiple
This network shows the impact of papers produced by Franz Aiple. 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 Franz Aiple. The network helps show where Franz Aiple may publish in the future.
Co-authors
The 17 scholars most cited alongside Franz Aiple, 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 | 1993 | 204 | |
| 2 | 1988 | 124 | |
| 3 | 1992 | 75 | |
| 4 | 1994 | 59 | |
| 5 | 1988 | 52 | |
| 6 | 1991 | 45 | |
| 7 | 1992 | 30 | |
| 8 | 1989 | 13 | |
| 9 | 1993 | 8 | |
| 10 | 1989 | 1 |
About Franz Aiple
Franz Aiple is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Pharmacology and Social Psychology, having authored 10 papers that have together received 611 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (3 papers), Vestibular and auditory disorders (2 papers), Color perception and design (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Reading and Literacy Development (1 paper). The work is most often cited by research in Cognitive Neuroscience (511 citations), Experimental and Cognitive Psychology (91 citations), Cellular and Molecular Neuroscience (110 citations), Neurology (42 citations) and Human-Computer Interaction (25 citations). Franz Aiple has collaborated with scholars based in Germany, Russia and United States. Frequent co-authors include Jürgen Krüger, Burkhart Fischer, Heike Weber, Monica Biscaldi, А. В. Латанов, Michael Bach, G. Hertting, Rolf Jackisch, Bruno Will and B. Neufang. Their work appears in journals such as Experimental Brain Research, Brain Research, Neurological Research, Behavioral and Brain Sciences and Visual 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.