Kaitlyn Dunlap

957 total citations
24 papers, 511 citations indexed

About

Kaitlyn Dunlap is a scholar working on Cognitive Neuroscience, Education and Epidemiology. According to data from OpenAlex, Kaitlyn Dunlap has authored 24 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 11 papers in Education and 5 papers in Epidemiology. Recurrent topics in Kaitlyn Dunlap's work include Autism Spectrum Disorder Research (16 papers), Child Development and Digital Technology (11 papers) and Virology and Viral Diseases (5 papers). Kaitlyn Dunlap is often cited by papers focused on Autism Spectrum Disorder Research (16 papers), Child Development and Digital Technology (11 papers) and Virology and Viral Diseases (5 papers). Kaitlyn Dunlap collaborates with scholars based in United States, Singapore and Bangladesh. Kaitlyn Dunlap's co-authors include Peter Washington, Dennis P. Wall, Aaron Kline, Haik Kalantarian, Jessey Schwartz, Qandeel Tariq, Émilie Leblanc, Maya Varma, Brianna Chrisman and Allison E. Ashley‐Koch and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genome Research.

In The Last Decade

Kaitlyn Dunlap

23 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaitlyn Dunlap United States 16 297 164 83 71 65 24 511
Qandeel Tariq United States 10 391 1.3× 199 1.2× 31 0.4× 56 0.8× 95 1.5× 10 547
Sara Cruz Portugal 11 203 0.7× 86 0.5× 45 0.5× 170 2.4× 19 0.3× 40 408
Deepak Goel India 13 143 0.5× 130 0.8× 18 0.2× 100 1.4× 223 3.4× 54 705
Κaterina Papanikolaou Greece 16 444 1.5× 106 0.6× 128 1.5× 305 4.3× 56 0.9× 55 781
Jordan Hashemi United States 9 323 1.1× 157 1.0× 11 0.1× 62 0.9× 62 1.0× 14 402
Arnaud Roy France 16 169 0.6× 55 0.3× 21 0.3× 100 1.4× 115 1.8× 69 680
Jean‐Luc Roulin France 17 222 0.7× 63 0.4× 23 0.3× 113 1.6× 77 1.2× 45 654
Steven Espinosa United States 11 393 1.3× 192 1.2× 14 0.2× 83 1.2× 83 1.3× 15 481
Mary Andrianopoulos United States 11 283 1.0× 42 0.3× 50 0.6× 200 2.8× 15 0.2× 15 614
Yan Hao China 11 180 0.6× 34 0.2× 21 0.3× 98 1.4× 23 0.4× 43 446

Countries citing papers authored by Kaitlyn Dunlap

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlyn Dunlap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaitlyn Dunlap

This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlyn Dunlap. A scholar is included among the top collaborators of Kaitlyn Dunlap 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 Kaitlyn Dunlap. Kaitlyn Dunlap 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.
Kline, Aaron, et al.. (2025). Multimodal LLM vs. Human-Measured Features for AI Predictions of Autism in Home Videos. Algorithms. 18(11). 687–687.
2.
Paskov, Kelley, Brianna Chrisman, Nate Stockham, et al.. (2023). Identifying crossovers and shared genetic material in whole genome sequencing data from families. Genome Research. 33(10). 1747–1756. 2 indexed citations
3.
Washington, Peter, Brianna Chrisman, Émilie Leblanc, et al.. (2022). Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections. Intelligence-Based Medicine. 6. 100056–100056. 8 indexed citations
4.
Washington, Peter, Haik Kalantarian, John Kent, et al.. (2022). Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study. JMIR Pediatrics and Parenting. 5(2). e26760–e26760. 17 indexed citations
5.
Washington, Peter, Émilie Leblanc, Kaitlyn Dunlap, et al.. (2022). Machine learning models using mobile game play accurately classify children with autism. Intelligence-Based Medicine. 6. 100057–100057. 12 indexed citations
6.
Chi, Nathan, et al.. (2022). Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study. JMIR Pediatrics and Parenting. 5(2). e35406–e35406. 29 indexed citations
7.
Tataru, Christine, Kaitlyn Dunlap, Brianna Chrisman, et al.. (2021). Longitudinal study of stool-associated microbial taxa in sibling pairs with and without autism spectrum disorder. ISME Communications. 1(1). 80–80. 5 indexed citations
8.
Washington, Peter, Qandeel Tariq, Émilie Leblanc, et al.. (2021). Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection. Scientific Reports. 11(1). 7620–7620. 22 indexed citations
9.
Dunlap, Kaitlyn, Peter Washington, Émilie Leblanc, et al.. (2021). A Mobile Game Platform for Improving Social Communication in Children with Autism: A Feasibility Study. Applied Clinical Informatics. 12(5). 1030–1040. 28 indexed citations
10.
Washington, Peter, Émilie Leblanc, Kaitlyn Dunlap, et al.. (2020). Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition. Journal of Personalized Medicine. 10(3). 86–86. 24 indexed citations
11.
Kalantarian, Haik, Kaitlyn Dunlap, Jessey Schwartz, et al.. (2020). The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility Study. JMIR Mental Health. 7(4). e13174–e13174. 31 indexed citations
12.
Leblanc, Émilie, Peter Washington, Maya Varma, et al.. (2020). Feature replacement methods enable reliable home video analysis for machine learning detection of autism. Scientific Reports. 10(1). 21245–21245. 26 indexed citations
13.
Washington, Peter, Émilie Leblanc, Kaitlyn Dunlap, et al.. (2020). Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. PubMed. 26. 14–25. 17 indexed citations
14.
Washington, Peter, Haik Kalantarian, Qandeel Tariq, et al.. (2019). Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks. Journal of Medical Internet Research. 21(5). e13668–e13668. 21 indexed citations
15.
Tariq, Qandeel, Scott L. Fleming, Jessey Schwartz, et al.. (2019). Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study. Journal of Medical Internet Research. 21(4). e13822–e13822. 62 indexed citations
16.
Daniels, Jena, Jessey Schwartz, Kaitlyn Dunlap, et al.. (2019). Identification and Quantification of Gaps in Access to Autism Resources in the United States: An Infodemiological Study. Journal of Medical Internet Research. 21(7). e13094–e13094. 35 indexed citations
17.
Song, Lixin, Kaitlyn Dunlap, Xianming Tan, et al.. (2018). Enhancing Survivorship Care Planning for Patients With Localized Prostate Cancer Using a Couple-Focused mHealth Symptom Self-Management Program: Protocol for a Feasibility Study. JMIR Research Protocols. 7(2). e51–e51. 12 indexed citations
18.
Damiano, Cara R., Kaitlyn Dunlap, Eleanor K. Hanna, et al.. (2015). Neural mechanisms of negative reinforcement in children and adolescents with autism spectrum disorders. Journal of Neurodevelopmental Disorders. 7(1). 12–12. 22 indexed citations
19.
Damiano, Cara R., Joseph Aloi, Kaitlyn Dunlap, et al.. (2014). Association between the oxytocin receptor (OXTR) gene and mesolimbic responses to rewards. Molecular Autism. 5(1). 7–7. 41 indexed citations
20.
Markunas, Christina A., Karen Soldano, Kaitlyn Dunlap, et al.. (2013). Stratified Whole Genome Linkage Analysis of Chiari Type I Malformation Implicates Known Klippel-Feil Syndrome Genes as Putative Disease Candidates. PLoS ONE. 8(4). e61521–e61521. 37 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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