Constance M. Bainbridge

8 papers receiving 703 citations

Constance M. Bainbridge's Hit Papers

Universality and diversity in human song 2019 · 281 citations
2810+2+4Years since publication50100150200250

Peers

Constance M. Bainbridge
Comparison fields: 5 of 100
  • Developmental Biology 76
  • Cognitive Neuroscience 306
  • Computer Vision and Pattern Recognition 304
  • Music 44
  • Human-Computer Interaction 61
Replace Martin Clayton with:
Martin Clayton United Kingdom
John L. Arnott United Kingdom
Maria Uther United Kingdom
Martijn Goudbeek Netherlands
Timothy J. O’Donnell Canada
Justin London United States
Sarah C. Creel United States
Otto Laske United States
Alexander P. Demos United States
François Pellegrino France
Constance M. Bainbridge relative to Martin Clayton United Kingdom Martin Clayton's profile →
Citations per field
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Citations per year

Countries citing papers authored by Constance M. Bainbridge

Since Specialization
Citations

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

Fields of papers citing papers by Constance M. Bainbridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Constance M. Bainbridge. 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 Constance M. Bainbridge. The network helps show where Constance M. Bainbridge may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Universality and diversity in human song
Hit paper breakdown →
2019281
2 2015221
3 2015155
4 202048
5 202214
6 20204
7 20152
8 20231
9 20250

About Constance M. Bainbridge

Constance M. Bainbridge is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Sociology and Political Science and Developmental Biology, having authored 9 papers that have together received 726 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (3 papers), Music and Audio Processing (2 papers), Animal Vocal Communication and Behavior (2 papers), Mental Health via Writing (1 paper), Face Recognition and Perception (1 paper), Diverse Musicological Studies (1 paper), Misinformation and Its Impacts (1 paper) and Multisensory perception and integration (1 paper). The work is most often cited by research in Developmental Biology (76 citations), Cognitive Neuroscience (306 citations), Computer Vision and Pattern Recognition (304 citations), Music (44 citations) and Human-Computer Interaction (61 citations). Constance M. Bainbridge has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Aude Oliva, Zoya Bylinskii, Phillip Isola, Antonio Torralba, Hanspeter Pfister, Chelsea Yeh, Michelle A. Borkin, Nam Wook Kim, Samuel A. Mehr and Jan Simson. Their work appears in journals such as Vision Research, IEEE Transactions on Visualization and Computer Graphics, Nature Human Behaviour, Philosophical Transactions of the Royal Society B Biological Sciences 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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