Tetsuro Matsuzawa

276 papers receiving 9.8k citations

Peers

Tetsuro Matsuzawa
Comparison fields: 5 of 185
  • Developmental Biology 2.4k
  • Social Psychology 6.7k
  • Developmental and Educational Psychology 3.4k
  • Cognitive Neuroscience 2.1k
  • Experimental and Cognitive Psychology 1.4k
Replace Elisabetta Visalberghi with:
Elisabetta Visalberghi Italy
Nicola S. Clayton United Kingdom
Dorothy M. Fragaszy United States
Richard W. Byrne United Kingdom
Brian Hare United States
William D. Hopkins United States
Marc D. Hauser United States
William C. McGrew United Kingdom
Nathan J. Emery United Kingdom
Daniel J. Povinelli United States
Tetsuro Matsuzawa relative to Elisabetta Visalberghi Italy Elisabetta Visalberghi's profile →
Citations per field
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Elisabetta Visalberghi · 1×
Citations per year

Countries citing papers authored by Tetsuro Matsuzawa

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro Matsuzawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001419
2 1990412
3 2003354
4 1985321
5 1997258
6 2007179
7 2006173
8 2004161
9 2019146
10 2009144
11 2008133
12 2002131
13 2000123
14 2011123
15 2015122
16 2011119
17 2009110
18 2013110
19 1993109
20 1985107

About Tetsuro Matsuzawa

Tetsuro Matsuzawa is a scholar working on Social Psychology, Developmental and Educational Psychology, Developmental Biology, Genetics and Cognitive Neuroscience, having authored 287 papers that have together received 10.3k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (187 papers), Child and Animal Learning Development (104 papers), Animal Vocal Communication and Behavior (72 papers), Human-Animal Interaction Studies (44 papers), Animal Behavior and Reproduction (33 papers), Wildlife Ecology and Conservation (20 papers), Cognitive and developmental aspects of mathematical skills (19 papers) and Face Recognition and Perception (15 papers). The work is most often cited by research in Developmental Biology (2.4k citations), Social Psychology (6.7k citations), Developmental and Educational Psychology (3.4k citations), Cognitive Neuroscience (2.1k citations) and Experimental and Cognitive Psychology (1.4k citations). Tetsuro Matsuzawa has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masaki Tomonaga, Tatyana Humle, Dora Biro, Noriko Inoue‐Nakamura, Masayuki Tanaka, Cláudia Sousa, Gen Yamakoshi, James R. Anderson, Masako Myowa‐Yamakoshi and Misato Hayashi. Their work appears in journals such as Primates, Animal Cognition, American Journal of Primatology, Journal of comparative psychology and Folia Primatologica.

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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