Aaron Kline

1.5k total citations
28 papers, 763 citations indexed

About

Aaron Kline is a scholar working on Cognitive Neuroscience, Education and Epidemiology. According to data from OpenAlex, Aaron Kline has authored 28 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 18 papers in Education and 7 papers in Epidemiology. Recurrent topics in Aaron Kline's work include Autism Spectrum Disorder Research (23 papers), Child Development and Digital Technology (18 papers) and Virology and Viral Diseases (7 papers). Aaron Kline is often cited by papers focused on Autism Spectrum Disorder Research (23 papers), Child Development and Digital Technology (18 papers) and Virology and Viral Diseases (7 papers). Aaron Kline collaborates with scholars based in United States. Aaron Kline's co-authors include Dennis P. Wall, Peter Washington, Catalin Voss, Nick Haber, Terry Winograd, Carl Feinstein, Jena Daniels, Jessey Schwartz, Qandeel Tariq and Kaitlyn Dunlap and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

Aaron Kline

27 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Kline United States 18 509 287 113 91 87 28 763
Catalin Voss United States 16 456 0.9× 259 0.9× 101 0.9× 79 0.9× 90 1.0× 24 689
Jessey Schwartz United States 15 550 1.1× 285 1.0× 103 0.9× 125 1.4× 78 0.9× 20 776
Jena Daniels United States 16 651 1.3× 316 1.1× 86 0.8× 129 1.4× 71 0.8× 21 870
Qandeel Tariq United States 10 391 0.8× 199 0.7× 83 0.7× 95 1.0× 57 0.7× 10 547
Steven Espinosa United States 11 393 0.8× 192 0.7× 37 0.3× 83 0.9× 28 0.3× 15 481
Laura Humm United States 12 350 0.7× 104 0.4× 82 0.7× 19 0.2× 36 0.4× 16 748
Dale E. Olsen United States 13 324 0.6× 85 0.3× 88 0.8× 26 0.3× 38 0.4× 22 809
Arshya Vahabzadeh United States 15 364 0.7× 165 0.6× 37 0.3× 30 0.3× 19 0.2× 23 769
Luc Geurts Belgium 16 378 0.7× 52 0.2× 69 0.6× 52 0.6× 75 0.9× 64 847
Daniel David Romania 17 416 0.8× 91 0.3× 200 1.8× 19 0.2× 175 2.0× 45 985

Countries citing papers authored by Aaron Kline

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Kline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Kline

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Kline. A scholar is included among the top collaborators of Aaron Kline 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 Aaron Kline. Aaron Kline 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.
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
3.
Kline, Aaron, Onur Cezmi Mutlu, Kelley Paskov, et al.. (2022). The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study. SHILAP Revista de lepidopterología. 7(1). e33771–e33771. 23 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.
Varma, Maya, Peter Washington, Brianna Chrisman, et al.. (2022). Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods. Journal of Medical Internet Research. 24(2). e31830–e31830. 30 indexed citations
6.
Mutlu, Onur Cezmi, et al.. (2022). Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study. JMIR Formative Research. 7. e39917–e39917. 10 indexed citations
7.
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
8.
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
9.
10.
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
11.
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
12.
Kim, Yanghee, Cynthia D’Angelo, Francesco Cafaro, et al.. (2020). Multimodal Data Analytics for Assessing Collaborative Interactions. IUScholarWorks (Indiana University). 2547–2554. 3 indexed citations
13.
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
14.
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
15.
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
16.
Washington, Peter, Catalin Voss, Aaron Kline, et al.. (2019). Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(8). 759–769. 60 indexed citations
17.
Daniels, Jena, Jessey Schwartz, Catalin Voss, et al.. (2018). Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism. npj Digital Medicine. 1(1). 53 indexed citations
18.
Daniels, Jena, Jessey Schwartz, Nick Haber, et al.. (2017). 5.13 Design and Efficacy of a Wearable Device for Social Affective Learning in Children With Autism. Journal of the American Academy of Child & Adolescent Psychiatry. 56(10). S257–S257. 12 indexed citations
19.
Voss, Catalin, Peter Washington, Nick Haber, et al.. (2016). Superpower glass. 1218–1226. 48 indexed citations
20.
Gunn, Alexander, Leigh F. Callahan, Yvonne M. Golightly, et al.. (2015). Physical therapy vs. internet-based exercise training (PATH-IN) for patients with knee osteoarthritis: study protocol of a randomized controlled trial. BMC Musculoskeletal Disorders. 16(1). 264–264. 28 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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