Junko Kanero

1.0k total citations · 1 hit paper
19 papers, 401 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 401 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, Tilbe Göksun, Cansu Oranç, Ayli̇n C. Küntay, Takahiko Masuda, Ezgi Mamus, Vasfiye Geçkin, Hiroyuki Okada, J. Okuda and Roberta Michnick Golinkoff and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Memory and Language.

In The Last Decade

Junko Kanero

18 papers receiving 383 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Young children’s screen time during the first COVID-19 lockdown in 12 countries

2022 81 citations Christina Bergmann, Nevena Dimitrova et al. Scientific Reports profile →

Author Peers

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

Author						Papers	Cites
Junko Kanero	138	117	103	84	81	19	401
Sibylle Enz	264 1.9×	107 0.9×	138 1.3×	32 0.4×	81 1.0×	22	439
Magnus Haake	75 0.5×	120 1.0×	158 1.5×	127 1.5×	285 3.5×	45	630
Carsten Zoll	245 1.8×	50 0.4×	146 1.4×	45 0.5×	43 0.5×	11	379
Federico Manzi	290 2.1×	38 0.3×	111 1.1×	33 0.4×	154 1.9×	42	495
Heather E. Gary	296 2.1×	38 0.3×	140 1.4×	26 0.3×	53 0.7×	14	416
Micol Spitale	156 1.1×	45 0.4×	125 1.2×	50 0.6×	31 0.4×	54	393
James Belanich	85 0.6×	48 0.4×	63 0.6×	64 0.8×	356 4.4×	23	501
Y. Moon	206 1.5×	23 0.2×	191 1.9×	125 1.5×	45 0.6×	5	446
David Vallett	51 0.4×	161 1.4×	41 0.4×	78 0.9×	165 2.0×	16	398
Amanda Jarrell	139 1.0×	127 1.1×	59 0.6×	144 1.7×	139 1.7×	15	516

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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19 of 19 papers shown

Kanero, Junko, et al.. (2024). Infants’ use of the index finger for social and non-social purposes during the first two years of life: A cross-cultural study. Infant Behavior and Development. 75. 101953–101953. 1 indexed citations

Bağci, Sabahat Çiğdem, et al.. (2024). From Human-Human to Human-Robot: How Social Psychology Research Methods Can Inform HRI Evaluation. 637–640. 1 indexed citations

Blazhenkova, Olesya, et al.. (2023). Read and Imagine: Visual Imagery Experience Evoked by First versus Second Language. Psychological Reports. 128(2). 1067–1100. 2 indexed citations

Bergmann, Christina, Nevena Dimitrova, Suzanne Aussems, et al.. (2022). Young children’s screen time during the first COVID-19 lockdown in 12 countries. Scientific Reports. 12(1). 2015–2015. 81 indexed citations breakdown →

Kanero, Junko, et al.. (2022). Robots or Peers? Evaluating Young Children’s Attitudes Towards Robots Using the Intergroup Contact Theory. 197–201. 1 indexed citations

Bağci, Sabahat Çiğdem, et al.. (2022). “My Robot Friend”: Application of Intergroup Contact Theory in Human-Robot Interaction. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). 665–668. 1 indexed citations

Kanero, Junko, Noburo Saji, Yu Chen, et al.. (2022). From green to turquoise: Exploring age and socioeconomic status in the acquisition of color terms. First Language. 43(1). 3–21. 1 indexed citations

Kanero, Junko, et al.. (2021). When Even a Robot Tutor Zooms: A Study of Embodiment, Attitudes, and Impressions. Frontiers in Robotics and AI. 8. 679893–679893. 3 indexed citations

Kanero, Junko, et al.. (2021). Are Tutor Robots for Everyone? The Influence of Attitudes, Anxiety, and Personality on Robot-Led Language Learning. International Journal of Social Robotics. 14(2). 297–312. 25 indexed citations

10.

Oranç, Cansu, Gökçe Elif Baykal, Junko Kanero, Ayli̇n C. Küntay, & Tilbe Göksun. (2020). International Perspectives on Digital Media and Early Literacy. Scopus (Elsevier). 6 indexed citations

11.

Demir‐Lira, Ö. Ece, et al.. (2020). L2 Vocabulary Teaching by Social Robots: The Role of Gestures and On-Screen Cues as Scaffolds. Frontiers in Education. 5. 20 indexed citations

12.

Kanero, Junko, Vasfiye Geçkin, Cansu Oranç, et al.. (2018). Social Robots for Early Language Learning: Current Evidence and Future Directions. Child Development Perspectives. 12(3). 146–151. 98 indexed citations

13.

Kanero, Junko, et al.. (2018). Who Can Benefit from Robots? Effects of Individual Differences in Robot-Assisted Language Learning. 212–217. 5 indexed citations

14.

Berghe, Rianne van den, et al.. (2018). Using a Robot Peer to Encourage the Production of Spatial Concepts in a Second Language. Ghent University Academic Bibliography (Ghent University). 54–60. 5 indexed citations

15.

Kanero, Junko, Kathy Hirsh‐Pasek, & Roberta Michnick Golinkoff. (2015). Can a microwave heat up coffee? How English- and Japanese-speaking children choose subjects in lexical causative sentences. Journal of Child Language. 43(5). 993–1019. 10 indexed citations

16.

Imai, Mutsumi, Junko Kanero, & Takahiko Masuda. (2015). The relation between language, culture, and thought. Current Opinion in Psychology. 8. 70–77. 61 indexed citations

17.

Kanero, Junko, Mutsumi Imai, Hiroyuki Okada, & Noriko Hoshino. (2015). Do classifiers make the syntactic count/mass distinction? Insights from ERPs in classifier processing in Japanese. Journal of Memory and Language. 83. 20–52.

18.

Kanero, Junko, Mutsumi Imai, J. Okuda, Hiroyuki Okada, & Tetsuya Matsuda. (2014). How Sound Symbolism Is Processed in the Brain: A Study on Japanese Mimetic Words. PLoS ONE. 9(5). e97905–e97905. 49 indexed citations

19.

Kanero, Junko, et al.. (2014). Six Principles of Language Development: Implications for Second Language Learners. Developmental Neuropsychology. 39(5). 404–420. 31 indexed citations

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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