Jan Auracher
Impact in
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- Multisensory perception and integration
- Language, Metaphor, and Cognition
- Categorization, perception, and language
- Creativity in Education and Neuroscience
Papers in
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- Multisensory perception and integration 7
- Language, Metaphor, and Cognition 4
- Categorization, perception, and language 2
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- Color perception and design 3
- Co-authors
- Willie van Peer (2 shared papers)Sabine Albers (1 shared paper)Marisa Bortolussi (1 shared paper)Sônia Zyngier (1 shared paper)Nahyun Kwon (1 shared paper)Hideyuki Hoshi (1 shared paper)Mathias Scharinger (2 shared papers)Kimi Akita (1 shared paper)
- Journals
- PLoS ONE (2 papers)Comparative Literature Studies (1 paper)Discourse Processes (1 paper)Cognitive Science (1 paper)i-Perception (1 paper)
- Partner nations
- GermanyJapanSouth Korea
In The Last Decade
Jan Auracher
11 papers receiving 151 citations
Peers
Comparison fields: 5 of 32
- Experimental and Cognitive Psychology 126
- Developmental Biology 11
- Literature and Literary Theory 31
- Cognitive Neuroscience 50
- Social Psychology 35
Countries citing papers authored by Jan Auracher
This map shows the geographic impact of Jan Auracher'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 Jan Auracher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Auracher more than expected).
Fields of papers citing papers by Jan Auracher
This network shows the impact of papers produced by Jan Auracher. 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 Jan Auracher. The network helps show where Jan Auracher may publish in the future.
Co-authors
The 13 scholars most cited alongside Jan Auracher, 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 | 2010 | 43 | |
| 2 | 2017 | 31 | |
| 3 | Directions in Empirical Literary Studies: In honor of Willie van Peer | 2008 | 26 |
| 4 | New Beginnings in Literary Studies | 2008 | 25 |
| 5 | 2019 | 16 | |
| 6 | 2020 | 9 | |
| 7 | Automatic analyses of language, discourse, and situation models | 2008 | 7 |
| 8 | 2019 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2017 | 2 | |
| 11 | 2012 | 1 | |
| 12 | 2016 | 0 |
About Jan Auracher
Jan Auracher is a scholar working on Experimental and Cognitive Psychology, Social Psychology, Cognitive Neuroscience, Literature and Literary Theory and Artificial Intelligence, having authored 12 papers that have together received 167 indexed citations. Recurring topics across this work include Multisensory perception and integration (7 papers), Language, Metaphor, and Cognition (4 papers), Color perception and design (3 papers), Neuroscience and Music Perception (3 papers), Categorization, perception, and language (2 papers), Media Influence and Health (2 papers), Animal Vocal Communication and Behavior (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (126 citations), Developmental Biology (11 citations), Literature and Literary Theory (31 citations), Cognitive Neuroscience (50 citations) and Social Psychology (35 citations). Jan Auracher has collaborated with scholars based in Germany, Japan and South Korea. Frequent co-authors include Willie van Peer, Sabine Albers, Marisa Bortolussi, Sônia Zyngier, Nahyun Kwon, Hideyuki Hoshi, Mathias Scharinger, Kimi Akita, Winfried Menninghaus and Moongee Jeon. Their work appears in journals such as PLoS ONE, Comparative Literature Studies, Discourse Processes, Cognitive Science and i-Perception.
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.