Oded Ben‐Tal

17 papers receiving 278 citations

Peers

Oded Ben‐Tal
Comparison fields: 5 of 64
  • Signal Processing 143
  • Music 35
  • Computer Vision and Pattern Recognition 176
  • Cognitive Neuroscience 143
  • Sensory Systems 18
Replace Maximos A. Kaliakatsos-Papakostas with:
Maximos A. Kaliakatsos-Papakostas Greece
Karthik Yadati Netherlands
Patrick Richardson United States
Raymond Migneco United States
Jeffrey J. Scott United States
Anna Aljanaki Netherlands
Archi Banerjee India
Auriel Washburn United States
Christopher Ariza United States
Óscar Mayor Spain
Oded Ben‐Tal relative to Maximos A. Kaliakatsos-Papakostas Greece Maximos A. Kaliakatsos-Papakostas's profile →
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Citations per year

Countries citing papers authored by Oded Ben‐Tal

Since Specialization
Citations

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

Fields of papers citing papers by Oded Ben‐Tal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oded Ben‐Tal. 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 Oded Ben‐Tal. The network helps show where Oded Ben‐Tal may publish in the future.

Co-authors

The 17 scholars most cited alongside Oded Ben‐Tal, 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 Oded Ben‐Tal Line = papers co-authored together Oded Ben‐Tal links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201970
2 201867
3
SONART : THE SONIFICATION APPLICATION RESEARCH TOOLBOX
200235
4 201727
5 201626
6 200415
7 201115
8 202015
9 201611
10
Reflections on synaesthesia, perception, and cognition
201110
11 202110
12 20146
13 20123
14 20132
15 20142
16
Making music with technology: a free improvisation ensemble
20141
17
Bringing the models back to music practice: The evaluation of deep learning approaches to music transcription modelling and generation
20161
18
Zoom arrière. L’ethnomusicologie à l’ère du Big Data
20170
19 20230

About Oded Ben‐Tal

Oded Ben‐Tal is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Music and Experimental and Cognitive Psychology, having authored 19 papers that have together received 316 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (12 papers), Music and Audio Processing (11 papers), Neuroscience and Music Perception (7 papers), Multisensory perception and integration (4 papers), Diverse Musicological Studies (3 papers), Neural dynamics and brain function (3 papers), Olfactory and Sensory Function Studies (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Signal Processing (143 citations), Music (35 citations), Computer Vision and Pattern Recognition (176 citations), Cognitive Neuroscience (143 citations) and Sensory Systems (18 citations). Oded Ben‐Tal has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Bob L. T. Sturm, Emília Gómez, María Teresa Iglesias, Marius Miron, Jonathan C Berger, Noam Sagiv, Dorien Herremans, Nick Collins, Elaine Chew and Gaëtan Hadjeres. Their work appears in journals such as Leonardo, Musicae Scientiae, Cognitive Science, Journal of Music Technology and Education and Journal of New Music Research.

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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