Peter Washington

3.1k total citations
91 papers, 1.5k citations indexed

About

Peter Washington is a scholar working on Cognitive Neuroscience, Education and Epidemiology. According to data from OpenAlex, Peter Washington has authored 91 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 26 papers in Education and 12 papers in Epidemiology. Recurrent topics in Peter Washington's work include Autism Spectrum Disorder Research (40 papers), Child Development and Digital Technology (26 papers) and Emotion and Mood Recognition (10 papers). Peter Washington is often cited by papers focused on Autism Spectrum Disorder Research (40 papers), Child Development and Digital Technology (26 papers) and Emotion and Mood Recognition (10 papers). Peter Washington collaborates with scholars based in United States, Taiwan and United Kingdom. Peter Washington's co-authors include Dennis P. Wall, Jessey Schwartz, Haik Kalantarian, Jena Daniels, Aaron Kline, Nick Haber, Qandeel Tariq, Catalin Voss, Terry Winograd and Carl Feinstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Peter Washington

82 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Washington United States 24 904 477 203 188 173 91 1.5k
Nick Haber United States 20 750 0.8× 378 0.8× 142 0.7× 123 0.7× 122 0.7× 41 1.2k
Jessey Schwartz United States 15 550 0.6× 285 0.6× 125 0.6× 103 0.5× 78 0.5× 20 776
Catalin Voss United States 16 456 0.5× 259 0.5× 79 0.4× 101 0.5× 90 0.5× 24 689
Agata Rozga United States 24 2.0k 2.2× 820 1.7× 193 1.0× 64 0.3× 148 0.9× 53 2.6k
Zhi Zheng United States 15 509 0.6× 186 0.4× 28 0.1× 46 0.2× 32 0.2× 31 809
Daniel O. David Romania 13 386 0.4× 132 0.3× 20 0.1× 78 0.4× 100 0.6× 20 732
Ralf F. A. Cox Netherlands 22 557 0.6× 110 0.2× 100 0.5× 49 0.3× 258 1.5× 85 1.8k
Brian Richards United Kingdom 18 337 0.4× 206 0.4× 63 0.3× 22 0.1× 248 1.4× 57 1.9k
Michael Villano United States 13 530 0.6× 155 0.3× 24 0.1× 28 0.1× 88 0.5× 25 1.0k
Elizabeth S. Kim United States 11 389 0.4× 105 0.2× 24 0.1× 42 0.2× 68 0.4× 16 1.0k

Countries citing papers authored by Peter Washington

Since Specialization
Citations

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

Fields of papers citing papers by Peter Washington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Washington

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Washington. A scholar is included among the top collaborators of Peter Washington 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 Peter Washington. Peter Washington 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.
Chen, Wei‐Chao, et al.. (2025). Current challenges and opportunities in active and passive data collection for mobile health sensing: a scoping review. JAMIA Open. 8(4). ooaf025–ooaf025. 1 indexed citations
3.
Washington, Peter, et al.. (2024). Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review. Biosensors. 14(4). 183–183. 10 indexed citations
4.
Chu, Kar‐Hai, et al.. (2024). Public Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review. Information. 15(11). 690–690. 1 indexed citations
5.
Benzo, Roberto M., et al.. (2024). Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study. Journal of Medical Internet Research. 26. e55694–e55694. 2 indexed citations
6.
Benzo, Roberto M., et al.. (2024). Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing. SHILAP Revista de lepidopterología. 5(4). 2725–2738. 2 indexed citations
7.
Washington, Peter, et al.. (2024). Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study. JMIR Research Protocols. 13. e55615–e55615. 9 indexed citations
8.
Washington, Peter, et al.. (2024). Ethics of the Use of Social Media as Training Data for AI Models Used for Digital Phenotyping. JMIR Formative Research. 8. e59794–e59794. 4 indexed citations
9.
Guerrero, Anthony P. S., et al.. (2023). Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR Research Protocols. 13. e46493–e46493. 5 indexed citations
10.
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
11.
Washington, Peter, et al.. (2023). Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. JMIR Formative Research. 8. e52660–e52660. 5 indexed citations
12.
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
13.
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
14.
Stockham, Nate, Peter Washington, Brianna Chrisman, et al.. (2022). Causal Modeling to Mitigate Selection Bias and Unmeasured Confounding in Internet-Based Epidemiology of COVID-19: Model Development and Validation. JMIR Public Health and Surveillance. 8(7). e31306–e31306. 3 indexed citations
15.
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
16.
Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Indels in SARS-CoV-2 occur at template-switching hotspots. BioData Mining. 14(1). 20–20. 24 indexed citations
17.
Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. BMC Bioinformatics. 22(1). 509–509. 8 indexed citations
18.
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
19.
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
20.
Washington, Peter. (2003). Eat, drink, and be merry : poems about food and drink.

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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