Junko Kanero

55 total papers · 983 total citations
19 papers, 395 citations indexed

About

Junko Kanero is a scholar working on Social Psychology, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Junko Kanero has authored 19 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Social Psychology, 7 papers in Artificial Intelligence and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Junko Kanero's work include Language, Metaphor, and Cognition (7 papers), Social Robot Interaction and HRI (6 papers) and AI in Service Interactions (5 papers). Junko Kanero is often cited by papers focused on Language, Metaphor, and Cognition (7 papers), Social Robot Interaction and HRI (6 papers) and AI in Service Interactions (5 papers). Junko Kanero collaborates with scholars based in Türkiye, United States and Japan. Junko Kanero's co-authors include Mutsumi Imai, Ayli̇n C. Küntay, Tilbe Göksun, Cansu Oranç, Takahiko Masuda, Vasfiye Geçkin, Ezgi Mamus, J. Okuda, Tetsuya Matsuda and Hiroyuki Okada and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Memory and Language.

In The Last Decade

Junko Kanero

17 papers receiving 377 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Junko Kanero 136 114 102 84 80 19 395
Sibylle Enz 264 1.9× 110 1.0× 138 1.4× 32 0.4× 81 1.0× 22 438
Deanne R. Pérez-Granados 177 1.3× 96 0.8× 66 0.6× 35 0.4× 140 1.8× 12 353
Dhaval Parmar 71 0.5× 41 0.4× 52 0.5× 45 0.5× 92 1.1× 31 364
Martina Benvenuti 68 0.5× 107 0.9× 51 0.5× 37 0.4× 38 0.5× 28 414
Carsten Zoll 245 1.8× 51 0.4× 146 1.4× 45 0.5× 43 0.5× 11 378
David Cavallo 51 0.4× 93 0.8× 100 1.0× 66 0.8× 123 1.5× 14 438
Celeste Doerr 117 0.9× 86 0.8× 76 0.7× 74 0.9× 107 1.3× 17 420
Gwo Dong Chen 104 0.8× 116 1.0× 135 1.3× 14 0.2× 102 1.3× 20 388
Heather E. Gary 294 2.2× 38 0.3× 138 1.4× 26 0.3× 53 0.7× 14 413
Heather Pon-Barry 141 1.0× 49 0.4× 222 2.2× 90 1.1× 76 0.9× 34 429

Countries citing papers authored by Junko Kanero

Since Specialization
Citations

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

Fields of papers citing papers by Junko Kanero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Kanero

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Kanero. A scholar is included among the top collaborators of Junko Kanero 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 Junko Kanero. Junko Kanero 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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