Kaya de Barbaro

1.2k total citations
41 papers, 741 citations indexed

About

Kaya de Barbaro is a scholar working on Pharmacy, Developmental and Educational Psychology and Clinical Psychology. According to data from OpenAlex, Kaya de Barbaro has authored 41 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacy, 14 papers in Developmental and Educational Psychology and 10 papers in Clinical Psychology. Recurrent topics in Kaya de Barbaro's work include Infant Health and Development (14 papers), Child and Animal Learning Development (13 papers) and Child and Adolescent Psychosocial and Emotional Development (7 papers). Kaya de Barbaro is often cited by papers focused on Infant Health and Development (14 papers), Child and Animal Learning Development (13 papers) and Child and Adolescent Psychosocial and Emotional Development (7 papers). Kaya de Barbaro collaborates with scholars based in United States, United Kingdom and Netherlands. Kaya de Barbaro's co-authors include Gedeon O. Deák, Kaili Clackson, Sam Wass, Christine M. Johnson, Gregory D. Abowd, Deborah Förster, Larry Chan, Caitlin M. Fausey, Koustuv Saha and Munmun De Choudhury and has published in prestigious journals such as Child Development, Developmental Psychology and Current Directions in Psychological Science.

In The Last Decade

Kaya de Barbaro

36 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaya de Barbaro United States 18 277 175 153 109 107 41 741
Elena Geangu United Kingdom 14 199 0.7× 275 1.6× 255 1.7× 90 0.8× 129 1.2× 31 571
Drew H. Abney United States 15 251 0.9× 288 1.6× 335 2.2× 84 0.8× 74 0.7× 54 840
Sylvie Viaux‐Savelon France 11 199 0.7× 373 2.1× 282 1.8× 109 1.0× 267 2.5× 47 930
Ammar Mahdhaoui France 8 275 1.0× 259 1.5× 316 2.1× 117 1.1× 133 1.2× 9 727
Daniel Bone United States 19 176 0.6× 117 0.7× 499 3.3× 51 0.5× 93 0.9× 38 1.0k
Catherine Saint‐Georges France 13 325 1.2× 280 1.6× 508 3.3× 126 1.2× 237 2.2× 30 976
Marijn van Dijk Netherlands 21 617 2.2× 159 0.9× 242 1.6× 54 0.5× 199 1.9× 66 1.4k
Monika Knopf Germany 19 494 1.8× 384 2.2× 531 3.5× 16 0.1× 118 1.1× 94 1.2k
Sammy Perone United States 19 384 1.4× 120 0.7× 551 3.6× 31 0.3× 96 0.9× 39 948
Sofiane Boucenna France 11 124 0.4× 266 1.5× 423 2.8× 10 0.1× 61 0.6× 20 717

Countries citing papers authored by Kaya de Barbaro

Since Specialization
Citations

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

Fields of papers citing papers by Kaya de Barbaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaya de Barbaro. 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 Kaya de Barbaro. The network helps show where Kaya de Barbaro may publish in the future.

Co-authorship network of co-authors of Kaya de Barbaro

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

All Works

20 of 20 papers shown
1.
Barbaro, Kaya de, et al.. (2025). Caregiver Holding, Not Vocalizing, Supports Real‐Time Vagal Regulation. Infancy. 30(6). e70054–e70054.
2.
3.
Barbaro, Kaya de, et al.. (2024). Soothing touch matters: Patterns of everyday mother-infant physical contact and their real-time physiological implications. Infant Behavior and Development. 78. 102021–102021. 4 indexed citations
4.
Etz, Alexander, et al.. (2024). Mothers speak less to infants during detected real-world phone use. Child Development. 95(5). e324–e337.
5.
Choi, Eunsol, et al.. (2023). Understanding Postpartum Parents' Experiences via Two Digital Platforms. Proceedings of the ACM on Human-Computer Interaction. 7(CSCW1). 1–23. 4 indexed citations
6.
Barbaro, Kaya de, et al.. (2023). Maternal contingent responses to distress facilitate infant soothing but not in mothers with depression or infants high in negative affect.. Developmental Psychology. 60(2). 294–305. 2 indexed citations
7.
Morshed, Mehrab Bin, Koustuv Saha, Richard Li, et al.. (2022). Food, Mood, Context: Examining College Students’ Eating Context and Mental Well-being. 3(4). 1–26. 9 indexed citations
8.
Barbaro, Kaya de, et al.. (2022). Validating a model to detect infant crying from naturalistic audio. Behavior Research Methods. 55(6). 3187–3197. 12 indexed citations
9.
Barbaro, Kaya de & Caitlin M. Fausey. (2022). Ten Lessons About Infants’ Everyday Experiences. Current Directions in Psychological Science. 31(1). 28–33. 30 indexed citations
10.
Barbaro, Kaya de, et al.. (2020). Classification of Infant Crying in Real-World Home Environments Using Deep Learning. arXiv (Cornell University). 2 indexed citations
11.
Morshed, Mehrab Bin, Richard Li, Koustuv Saha, et al.. (2020). A Real-Time Eating Detection System for Capturing Eating Moments and Triggering Ecological Momentary Assessments to Obtain Further Context: System Development and Validation Study. JMIR mhealth and uhealth. 8(12). e20625–e20625. 17 indexed citations
12.
Barbaro, Kaya de, et al.. (2020). Optimal sampling strategies for characterizing behavior and affect from ambulatory audio recordings.. Journal of Family Psychology. 34(8). 980–990. 6 indexed citations
13.
Barbaro, Kaya de, et al.. (2020). Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series. Frontiers in Psychology. 11. 1457–1457. 37 indexed citations
14.
Romeo, Rachel, Mélanie Söderström, Camila Scaff, et al.. (2020). Longform recordings of everyday life: Ethics for best practices. Behavior Research Methods. 52(5). 1951–1969. 45 indexed citations
15.
Wang, Junqing, et al.. (2017). Quantified Baby. Proceedings of the ACM on Human-Computer Interaction. 1(CSCW). 1–19. 34 indexed citations
16.
Saha, Koustuv, Larry Chan, Kaya de Barbaro, Gregory D. Abowd, & Munmun De Choudhury. (2017). Inferring Mood Instability on Social Media by Leveraging Ecological Momentary Assessments. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 1(3). 1–27. 54 indexed citations
17.
Barbaro, Kaya de, Christine M. Johnson, Deborah Förster, & Gedeon O. Deák. (2015). Sensorimotor Decoupling Contributes to Triadic Attention: A Longitudinal Investigation of Mother–Infant–Object Interactions. Child Development. 87(2). 494–512. 50 indexed citations
18.
Barbaro, Kaya de, Christine M. Johnson, Deborah Förster, Gwen Littlewort, & Gedeon O. Deák. (2012). Sensory-motor dynamics of mother-infant-object interactions: Longitudinal changes in micro-behavioral patterns across the first year. 1–2. 2 indexed citations
19.
Barbaro, Kaya de, Andrea A. Chiba, & Gedeon O. Deák. (2011). Micro-analysis of infant looking in a naturalistic social setting: insights from biologically based models of attention. Developmental Science. 14(5). 1150–1160. 29 indexed citations
20.
Barbaro, Kaya de, Christine M. Johnson, Deborah Förster, & Gedeon O. Deák. (2010). Temporal dynamics of multimodal multiparty interactions. eScholarship (California Digital Library). 1–3.

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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