Eva Reinisch

1.7k citations
57 papers · 1.1k · h-index 21

Impact in

Papers in

Eva Reinisch

55 papers receiving 1.1k citations

Peers

Eva Reinisch
Comparison fields: 5 of 31
  • Linguistics and Language 370
  • Experimental and Cognitive Psychology 917
  • Cognitive Neuroscience 506
  • Developmental and Educational Psychology 298
  • Signal Processing 151
Replace Tanya Kraljic with:
Tanya Kraljic United States
Matthias J. Sjerps Netherlands
Jelena Krivokapić United States
Dave Kleinschmidt United States
Meghan Clayards Canada
Sarah C. Creel United States
Volker Dellwo Switzerland
Eun Jong Kong South Korea
Adamantios I. Gafos Germany
Mariapaola D’Imperio France
Eva Reinisch relative to Tanya Kraljic United States Tanya Kraljic's profile →
Citations per field
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Tanya Kraljic · 1×
Citations per year

Countries citing papers authored by Eva Reinisch

Since Specialization
Citations

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

Fields of papers citing papers by Eva Reinisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Reinisch, 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 Eva Reinisch Line = papers co-authored together Eva Reinisch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201684
2 201376
3 201373
4 201258
5 201456
6 200954
7 201150
8 201650
9 201539
10 201136
11 201534
12 201830
13 201330
14 201730
15 201228
16 201724
17 201523
18 201722
19 201721
20 201820

About Eva Reinisch

Eva Reinisch is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Linguistics and Language, Artificial Intelligence and Developmental and Educational Psychology, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (39 papers), Linguistic Variation and Morphology (19 papers), Neurobiology of Language and Bilingualism (14 papers), Multisensory perception and integration (13 papers), Speech Recognition and Synthesis (11 papers), Reading and Literacy Development (8 papers), Hearing Loss and Rehabilitation (8 papers) and Speech and dialogue systems (7 papers). The work is most often cited by research in Linguistics and Language (370 citations), Experimental and Cognitive Psychology (917 citations), Cognitive Neuroscience (506 citations), Developmental and Educational Psychology (298 citations) and Signal Processing (151 citations). Eva Reinisch has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Holger Mitterer, Matthias J. Sjerps, James M. McQueen, Miquel Llompart, Alexandra Jesse, Lori L. Holt, Hans Rutger Bosker, Andréa Weber, Mark Dingemanse and Sylvia Tufvesson. Their work appears in journals such as Journal of Phonetics, Journal of Experimental Psychology Human Perception & Performance, Journal of Memory and Language, Attention Perception & Psychophysics and The Journal of the Acoustical Society of America.

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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