Manvir Singh

26 papers receiving 954 citations

Manvir Singh's Hit Papers

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

Peers

Manvir Singh
Comparison fields: 5 of 110
  • Developmental Biology 109
  • Music 71
  • Cognitive Neuroscience 342
  • Experimental and Cognitive Psychology 222
  • Cultural Studies 126
Replace Max M. Krasnow with:
Max M. Krasnow United States
Gregory A. Bryant United States
Adena Schachner United States
Patrick E. Savage Japan
Daniel L. Bowling Austria
Ellen Dissanayake United States
Damián E. Blasí Germany
Sebastian Kirschner Germany
Bill Thompson United States
Paul Reddish Czechia
Manvir Singh relative to Max M. Krasnow United States Max M. Krasnow's profile →
Citations per field
00.5×1.5×1.8×
Max M. Krasnow · 1×
Citations per year

Countries citing papers authored by Manvir Singh

Since Specialization
Citations

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

Fields of papers citing papers by Manvir Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Universality and diversity in human song
Hit paper breakdown →
2019281
2 201897
3 201791
4 201568
5 202256
6 202250
7 201746
8 202032
9 202129
10 201527
11 202126
12 202023
13 202221
14 202221
15 202320
16 202118
17 202315
18 202315
19 202112
20 20149

About Manvir Singh

Manvir Singh is a scholar working on Sociology and Political Science, Experimental and Cognitive Psychology, Cognitive Neuroscience, Social Psychology and Cultural Studies, having authored 33 papers that have together received 975 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (16 papers), Evolutionary Psychology and Human Behavior (8 papers), Language and cultural evolution (5 papers), Neuroscience and Music Perception (4 papers), Psychology of Moral and Emotional Judgment (4 papers), Music and Audio Processing (4 papers), Cultural Differences and Values (4 papers) and Animal Vocal Communication and Behavior (3 papers). The work is most often cited by research in Developmental Biology (109 citations), Music (71 citations), Cognitive Neuroscience (342 citations), Experimental and Cognitive Psychology (222 citations) and Cultural Studies (126 citations). Manvir Singh has collaborated with scholars based in United States, France and New Zealand. Frequent co-authors include Luke Glowacki, Samuel A. Mehr, Max M. Krasnow, Iain D. Couzin, Christos C. Ioannou, Joseph Henrich, Hunter York, Steven Pinker, Richard W. Wrangham and Mariela Jennings. Their work appears in journals such as Evolution and Human Behavior, Current Anthropology, Current Biology, Current Opinion in Psychology and Biology.

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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