Cansu Oranç

759 total citations
11 papers, 294 citations indexed

About

Cansu Oranç is a scholar working on Social Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Cansu Oranç has authored 11 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 6 papers in Artificial Intelligence and 4 papers in Education. Recurrent topics in Cansu Oranç's work include Social Robot Interaction and HRI (6 papers), AI in Service Interactions (6 papers) and Child Development and Digital Technology (4 papers). Cansu Oranç is often cited by papers focused on Social Robot Interaction and HRI (6 papers), AI in Service Interactions (6 papers) and Child Development and Digital Technology (4 papers). Cansu Oranç collaborates with scholars based in Türkiye, Germany and United States. Cansu Oranç's co-authors include Ayli̇n C. Küntay, Tilbe Göksun, Junko Kanero, Ezgi Mamus, Vasfiye Geçkin, Azzurra Ruggeri, G. Tarcan Kumkale, Ellen Winner, Ö. Ece Demir‐Lira and Gökçe Elif Baykal and has published in prestigious journals such as Cognition, Child Development Perspectives and Journal of Child and Family Studies.

In The Last Decade

Cansu Oranç

11 papers receiving 283 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cansu Oranç Türkiye 7 129 118 73 63 55 11 294
Heidy Maldonado United States 10 116 0.9× 87 0.7× 46 0.6× 56 0.9× 25 0.5× 19 281
Gwo Dong Chen Taiwan 9 105 0.8× 135 1.1× 118 1.6× 75 1.2× 70 1.3× 20 391
Vicky Charisi Netherlands 10 167 1.3× 118 1.0× 40 0.5× 21 0.3× 34 0.6× 33 310
Huili Chen United States 7 98 0.8× 109 0.9× 49 0.7× 23 0.4× 29 0.5× 14 264
Catherine Vaucelle United States 5 91 0.7× 112 0.9× 52 0.7× 25 0.4× 31 0.6× 6 273
Jacqueline Kory Westlund United States 5 229 1.8× 207 1.8× 42 0.6× 18 0.3× 77 1.4× 6 367
Po Yao Chao Taiwan 6 100 0.8× 104 0.9× 70 1.0× 48 0.8× 67 1.2× 8 291
Rianne van den Berghe Netherlands 6 181 1.4× 173 1.5× 45 0.6× 33 0.5× 84 1.5× 9 304
Mirjam de Haas Netherlands 10 234 1.8× 206 1.7× 41 0.6× 24 0.4× 117 2.1× 27 358
Heather Pon-Barry United States 13 142 1.1× 222 1.9× 49 0.7× 27 0.4× 16 0.3× 34 430

Countries citing papers authored by Cansu Oranç

Since Specialization
Citations

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

Fields of papers citing papers by Cansu Oranç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cansu Oranç

This figure shows the co-authorship network connecting the top 25 collaborators of Cansu Oranç. A scholar is included among the top collaborators of Cansu Oranç 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 Cansu Oranç. Cansu Oranç is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Oranç, Cansu, et al.. (2022). Relations Among Self-Reported Maternal Stress, Smartphone Use, and Mother–Child Interactions. Journal of Child and Family Studies. 31(11). 3058–3068. 6 indexed citations
2.
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
3.
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
4.
Oranç, Cansu & Azzurra Ruggeri. (2021). “Alexa, let me ask you something different” Children's adaptive information search with voice assistants. Human Behavior and Emerging Technologies. 3(4). 595–605. 19 indexed citations
5.
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
6.
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
7.
Oranç, Cansu & Ayli̇n C. Küntay. (2020). Children’s perception of social robots as a source of information across different domains of knowledge. Cognitive Development. 54. 100875–100875. 25 indexed citations
8.
Oranç, Cansu & Ayli̇n C. Küntay. (2019). Learning from the real and the virtual worlds: Educational use of augmented reality in early childhood. International Journal of Child-Computer Interaction. 21. 104–111. 67 indexed citations
9.
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
10.

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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