Tessei Kobayashi

821 citations
53 papers · 501 · h-index 12

Impact in

Papers in

Tessei Kobayashi

45 papers receiving 481 citations

Peers

Tessei Kobayashi
Comparison fields: 5 of 73
  • Statistics and Probability 187
  • Developmental and Educational Psychology 255
  • Cognitive Neuroscience 114
  • Developmental Biology 11
  • Experimental and Cognitive Psychology 62
Replace Claudia Uller with:
Claudia Uller United Kingdom
François Tonneau Mexico
Dustin J. Merritt United States
Martina Siemann Germany
Laura Fontanari Italy
Margaret Chalmers United Kingdom
Timothy M. Flemming United States
Emily H. Harris United States
Regina Paxton Gazes United States
Jean-Émile Gombert France
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Citations per field
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Citations per year

Countries citing papers authored by Tessei Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Tessei Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200862
2 200558
3 200051
4 200349
5 200735
6 199930
7 201029
8 202225
9 201918
10 201618
11 201713
12 200912
13 200810
14 20239
15 19707
16 20167
17 20006
18 20206
19 20215
20 20195

About Tessei Kobayashi

Tessei Kobayashi is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Sociology and Political Science, Experimental and Cognitive Psychology and Social Psychology, having authored 53 papers that have together received 501 indexed citations. Recurring topics across this work include Child and Animal Learning Development (15 papers), Language Development and Disorders (11 papers), Reading and Literacy Development (11 papers), Cognitive and developmental aspects of mathematical skills (6 papers), Evolutionary Game Theory and Cooperation (5 papers), Phonetics and Phonology Research (5 papers), Multisensory perception and integration (4 papers) and Neurobiology of Language and Bilingualism (4 papers). The work is most often cited by research in Statistics and Probability (187 citations), Developmental and Educational Psychology (255 citations), Cognitive Neuroscience (114 citations), Developmental Biology (11 citations) and Experimental and Cognitive Psychology (62 citations). Tessei Kobayashi has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Toshikazu Hasegawa, Kazuo Hiraki, Takao Satô, Yuko Okumura, Yasuhiro Kanakogi, Shoji Itakura, Dexun Fu, N. Taniguchi, Yanwen Ma and Yuriko Oshima‐Takane. Their work appears in journals such as Cognition, PLoS ONE, Journal of comparative psychology, The Journal of the Acoustical Society of America and Language Learning and Development.

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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