Natasha Barrett

1.2k citations
31 papers · 846 · h-index 13

Impact in

Papers in

Natasha Barrett

27 papers receiving 822 citations

Peers

Natasha Barrett
Comparison fields: 5 of 115
  • Hematology 251
  • Immunology and Allergy 125
  • Sensory Systems 64
  • Internal Medicine 30
  • Cell Biology 117
Replace Fédérico Marini with:
Fédérico Marini Germany
Daniel Pauleikhoff Germany
Xiaolong Zhang China
Anne M. Glazier United Kingdom
Takehiko Ueyama Japan
Jian Mu China
Hua Yu China
Jeremy F. McRae United Kingdom
Yoshinori Mitamura Japan
Akira Sato Japan
Natasha Barrett relative to Fédérico Marini Germany Fédérico Marini's profile →
Citations per field
00.5×8.3×
Fédérico Marini · 1×
Citations per year

Countries citing papers authored by Natasha Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Natasha Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005155
2 2004131
3 2008130
4 198792
5 200855
6 200442
7 200740
8 201032
9 202131
10 201125
11
A New Method for B-Format to Binaural Transcoding
201020
12 201420
13 200218
14 20148
15 20016
16
A compositional methodology based on data extracted from natural phenomena
20005
17 20165
18 20155
19 20165
20
The potential for haptic-enabled interaction to support collaborative learning in school biology
20174

About Natasha Barrett

Natasha Barrett is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Hematology, Signal Processing and Immunology and Allergy, having authored 31 papers that have together received 846 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (9 papers), Platelet Disorders and Treatments (8 papers), Hearing Loss and Rehabilitation (5 papers), Cell Adhesion Molecules Research (5 papers), Music and Audio Processing (4 papers), Neuroscience and Music Perception (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Hematology (251 citations), Immunology and Allergy (125 citations), Sensory Systems (64 citations), Internal Medicine (30 citations) and Cell Biology (117 citations). Natasha Barrett has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Jonathan M. Gibbins, Tanya Sage, Katherine L. Tucker, Joanne M. Stevens, Peter A. Jordan, Sarah Jones, Leonardo A. Moraes, Kalwant S. Authi, Gary P. Hubbard and Chris I. Jones. Their work appears in journals such as Blood, Computer Music Journal, Organised Sound, Circulation Research and Education and Information Technologies.

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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