Udo Will

1.4k citations
23 papers · 719 · h-index 10

Impact in

  • Music top 1%
    • Diverse Music Education Insights
    • Neuroscience and Music Perception
    • Neural dynamics and brain function

Papers in

Udo Will

18 papers receiving 668 citations

Peers

Udo Will
Comparison fields: 5 of 95
  • Music 95
  • Cognitive Neuroscience 361
  • Developmental Biology 42
  • Sensory Systems 46
  • Experimental and Cognitive Psychology 98
Replace Samuel Evans with:
Samuel Evans United Kingdom
Bernhard H. Gaese Germany
А. В. Латанов Russia
Daniel Bendor United Kingdom
Xiaofeng Ma China
Iain DeWitt United States
Yonatan I. Fishman United States
Zona Lai United States
Susan E. Hall Canada
Lynne A. Werner United States
Udo Will relative to Samuel Evans United Kingdom Samuel Evans's profile →
Citations per field
00.5×2.9×
Samuel Evans · 1×
Citations per year

Countries citing papers authored by Udo Will

Since Specialization
Citations

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

Fields of papers citing papers by Udo Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Udo Will, 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 Udo Will Line = papers co-authored together Udo Will links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In time with the music: the concept of entrainment and its significance for ethnomusicology
2005277
2 2007142
3 198552
4 198444
5 198544
6 198629
7 198229
8 200522
9 200621
10 200818
11 19978
12 19968
13 20137
14 20156
15
The Effects of Tonal Information on Lexical Activation in Mandarin
20084
16 19944
17 20112
18 20071
19 20081
20 20190

About Udo Will

Udo Will is a scholar working on Cognitive Neuroscience, Signal Processing, Music, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 23 papers that have together received 719 indexed citations. Recurring topics across this work include Music and Audio Processing (5 papers), Diverse Musicological Studies (4 papers), Neuroscience and Music Perception (4 papers), Reading and Literacy Development (4 papers), Neurobiology of Language and Bilingualism (4 papers), Fish biology, ecology, and behavior (3 papers), Music Technology and Sound Studies (3 papers) and Vestibular and auditory disorders (3 papers). The work is most often cited by research in Music (95 citations), Cognitive Neuroscience (361 citations), Developmental Biology (42 citations), Sensory Systems (46 citations) and Experimental and Cognitive Psychology (98 citations). Udo Will has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Martin Clayton, Rebecca D. Sager, Eric A. Berg, Peter Görner, Bernd Fritzsch, Guido Nottbusch, Christian Jenssen, Michael Hocke, Christoph F. Dietrich and Nadine Lauer. Their work appears in journals such as Cell and Tissue Research, The Journal of Comparative Neurology, Ultraschall in der Medizin - European Journal of Ultrasound, Written Language & Literacy and PLoS ONE.

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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