Mitsuhiko Ishikawa

43 total papers · 607 total citations
21 papers, 176 citations indexed

About

Mitsuhiko Ishikawa is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Mitsuhiko Ishikawa has authored 21 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 12 papers in Developmental and Educational Psychology and 11 papers in Social Psychology. Recurrent topics in Mitsuhiko Ishikawa's work include Child and Animal Learning Development (12 papers), Face Recognition and Perception (9 papers) and Neuroendocrine regulation and behavior (4 papers). Mitsuhiko Ishikawa is often cited by papers focused on Child and Animal Learning Development (12 papers), Face Recognition and Perception (9 papers) and Neuroendocrine regulation and behavior (4 papers). Mitsuhiko Ishikawa collaborates with scholars based in Japan, United Kingdom and Italy. Mitsuhiko Ishikawa's co-authors include Shoji Itakura, Atsushi Senju, Tim J. Smith, Takayuki Kanda, Raffaele Tucciarelli, Hiroshi Ishiguro, Federico Manzi, Antonella Marchetti, Davide Massaro and Cinzia Di Dio and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Trends in Cognitive Sciences.

In The Last Decade

Mitsuhiko Ishikawa

17 papers receiving 174 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mitsuhiko Ishikawa 126 77 63 40 22 21 176
Arnaud Witt 140 1.1× 96 1.2× 44 0.7× 57 1.4× 22 1.0× 23 272
David L. Butler 122 1.0× 90 1.2× 126 2.0× 44 1.1× 39 1.8× 15 251
Kirsty Dunn 148 1.2× 85 1.1× 58 0.9× 64 1.6× 21 1.0× 11 257
Hettie Roebuck 184 1.5× 65 0.8× 40 0.6× 70 1.8× 12 0.5× 15 257
Daniel P. Skorich 98 0.8× 29 0.4× 37 0.6× 27 0.7× 37 1.7× 16 179
Tessa C.J. de Wit 248 2.0× 64 0.8× 48 0.8× 66 1.6× 42 1.9× 13 291
Xiaowei Ding 221 1.8× 61 0.8× 129 2.0× 54 1.4× 6 0.3× 34 280
Laurie Bayet 151 1.2× 29 0.4× 40 0.6× 53 1.3× 33 1.5× 21 216
Margreet Vogelzang 102 0.8× 79 1.0× 95 1.5× 27 0.7× 15 0.7× 24 257
Mary Elizabeth Sutherland 140 1.1× 28 0.4× 54 0.9× 44 1.1× 30 1.4× 16 233

Countries citing papers authored by Mitsuhiko Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiko Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiko Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiko Ishikawa. A scholar is included among the top collaborators of Mitsuhiko Ishikawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mitsuhiko Ishikawa. Mitsuhiko Ishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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