Nina Kraus

35.1k total citations · 3 hit papers
385 papers, 24.5k citations indexed

About

Nina Kraus is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems. According to data from OpenAlex, Nina Kraus has authored 385 papers receiving a total of 24.5k indexed citations (citations by other indexed papers that have themselves been cited), including 327 papers in Cognitive Neuroscience, 94 papers in Experimental and Cognitive Psychology and 66 papers in Sensory Systems. Recurrent topics in Nina Kraus's work include Neuroscience and Music Perception (262 papers), Hearing Loss and Rehabilitation (258 papers) and Multisensory perception and integration (84 papers). Nina Kraus is often cited by papers focused on Neuroscience and Music Perception (262 papers), Hearing Loss and Rehabilitation (258 papers) and Multisensory perception and integration (84 papers). Nina Kraus collaborates with scholars based in United States, Bulgaria and Philippines. Nina Kraus's co-authors include Erika Skoe, Trent Nicol, Alexandra Parbery‐Clark, Dana L. Strait, Bharath Chandrasekaran, Samira Anderson, Therese McGee, Travis White‐Schwoch, Steven G. Zecker and Adam Tierney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Nina Kraus

370 papers receiving 23.5k citations

Hit Papers

Music training for the development of auditory skills 2007 2026 2013 2019 2010 2007 2010 200 400 600

Peers

Nina Kraus
Comparison fields: 5 of 154
  • Cognitive Neuroscience 22.1k
  • Experimental and Cognitive Psychology 6.7k
  • Sensory Systems 4.8k
  • Developmental and Educational Psychology 3.9k
  • Speech and Hearing 2.7k
Replace Robert J. Zatorre with:
Robert J. Zatorre Canada
Risto Näätänen Finland
Terence W. Picton Canada
Kimmo Alho Finland
Christo Pantev Germany
Timothy D. Griffiths United Kingdom
Isabelle Peretz Canada
Mari Tervaniemi Finland
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Robert J. Zatorre Canada View profile →
Citations per field, relative to Nina Kraus
Nina Kraus · 1×
Citations per year, relative to Nina Kraus
Nina Kraus · 1×

Countries citing papers authored by Nina Kraus

Since Specialization
Citations

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

Fields of papers citing papers by Nina Kraus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Kraus

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Kraus. A scholar is included among the top collaborators of Nina Kraus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Kraus. Nina Kraus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 56
3 26
4 1
5 78
6 80
7 115
8 26
9 110
10 123
11 156
12 84
13
The Mcgurk effect at various auditory signal-to-noise ratios in american and Finnish listeners.
3
14 151
15 39
16 120
17 313
18 172
19 115
20 144

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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2026