Kaya de Barbaro

1.2k citations
41 papers · 741 indexed · h-index 18

Kaya de Barbaro

36 papers receiving 727 citations

Peers

Kaya de Barbaro
Comparison fields: 5 of 83
  • Developmental and Educational Psychology 277
  • Pharmacy 109
  • Applied Psychology 90
  • Human-Computer Interaction 76
  • Social Psychology 175
Replace Elena Geangu with:
Elena Geangu United Kingdom
Sylvie Viaux‐Savelon France
Marijn van Dijk Netherlands
Catherine Saint‐Georges France
Ammar Mahdhaoui France
Drew H. Abney United States
Daniel Bone United States
Jeffery F. Cohn United States
Rachel W. Kallen United States
R. Thomas Boone United States
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Citations per field
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Citations per year

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

The 25 scholars most cited alongside Kaya de Barbaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaya de Barbaro Line = papers co-authored together Kaya de Barbaro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20240
4 20234
5 20231
6 20232
7 20229
8 202212
9 20206
10 202017
11
Classification of Infant Crying in Real-World Home Environments Using Deep Learning
20202
12 202037
13 202045
14 201754
15 20169
16 201617
17 201633
18 201539
19 201550
20 201129

About Kaya de Barbaro

Kaya de Barbaro is a scholar working on Pharmacy, Applied Psychology and Developmental and Educational Psychology, having authored 41 papers that have together received 741 indexed citations. Recurring topics across this work include Infant Health and Development (14 papers), Child and Animal Learning Development (13 papers), Child and Adolescent Psychosocial and Emotional Development (7 papers), Child Development and Digital Technology (6 papers), Language Development and Disorders (5 papers), Behavioral Health and Interventions (4 papers), Neuroendocrine regulation and behavior (4 papers) and Hearing Impairment and Communication (3 papers). The work is most often cited by research in Developmental and Educational Psychology (277 citations), Pharmacy (109 citations) and Applied Psychology (90 citations). Kaya de Barbaro has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Gedeon O. Deák, Sam Wass, Kaili Clackson, Christine M. Johnson, Deborah Förster, Gregory D. Abowd, Larry Chan, Caitlin M. Fausey, Munmun De Choudhury and Koustuv Saha. Their work appears in journals such as Developmental Psychobiology, Child Development, Developmental Psychology, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Behavior Research Methods.

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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