Nick Haber

2.6k total citations
41 papers, 1.2k citations indexed

About

Nick Haber is a scholar working on Cognitive Neuroscience, Education and Artificial Intelligence. According to data from OpenAlex, Nick Haber has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 16 papers in Education and 8 papers in Artificial Intelligence. Recurrent topics in Nick Haber's work include Autism Spectrum Disorder Research (21 papers), Child Development and Digital Technology (16 papers) and Virology and Viral Diseases (5 papers). Nick Haber is often cited by papers focused on Autism Spectrum Disorder Research (21 papers), Child Development and Digital Technology (16 papers) and Virology and Viral Diseases (5 papers). Nick Haber collaborates with scholars based in United States and Taiwan. Nick Haber's co-authors include Dennis P. Wall, Marlena Duda, Catalin Voss, Jena Daniels, Peter Washington, Terry Winograd, Aaron Kline, Ruixin Ma, Carl Feinstein and Jessey Schwartz and has published in prestigious journals such as Scientific Reports, Journal of the American Academy of Child & Adolescent Psychiatry and Journal of Medical Internet Research.

In The Last Decade

Nick Haber

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Haber United States 20 750 378 142 123 123 41 1.2k
Peter Washington United States 24 904 1.2× 477 1.3× 203 1.4× 188 1.5× 91 0.7× 91 1.5k
Jena Daniels United States 16 651 0.9× 316 0.8× 129 0.9× 86 0.7× 105 0.9× 21 870
Jessey Schwartz United States 15 550 0.7× 285 0.8× 125 0.9× 103 0.8× 68 0.6× 20 776
Aaron Kline United States 18 509 0.7× 287 0.8× 91 0.6× 113 0.9× 56 0.5× 28 763
Catalin Voss United States 16 456 0.6× 259 0.7× 79 0.6× 101 0.8× 46 0.4× 24 689
Daniel Bone United States 19 499 0.7× 166 0.4× 73 0.5× 66 0.5× 47 0.4× 38 1.0k
Zhi Zheng United States 15 509 0.7× 186 0.5× 28 0.2× 46 0.4× 84 0.7× 31 809
David Peebles United Kingdom 15 418 0.6× 131 0.3× 55 0.4× 24 0.2× 106 0.9× 36 1.0k
Agata Rozga United States 24 2.0k 2.6× 820 2.2× 193 1.4× 64 0.5× 435 3.5× 53 2.6k
Cristina Costescu Romania 15 353 0.5× 118 0.3× 30 0.2× 57 0.5× 68 0.6× 54 682

Countries citing papers authored by Nick Haber

Since Specialization
Citations

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

Fields of papers citing papers by Nick Haber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Haber

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Haber. A scholar is included among the top collaborators of Nick Haber 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 Nick Haber. Nick Haber 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.
Lee, Angela Y., Jeffrey T. Hancock, Adam S. Miner, et al.. (2025). Person-Specific Analyses of Smartphone Use and Mental Health: Intensive Longitudinal Study. JMIR Formative Research. 9. e59875–e59875. 1 indexed citations
2.
Burkholder, Eric, et al.. (2024). Examining the potential and pitfalls of ChatGPT in science and engineering problem-solving. Frontiers in Education. 8. 32 indexed citations
3.
Yang, Yue, Fan-Yun Sun, Luca Weihs, et al.. (2024). Holodeck: Language Guided Generation of 3D Embodied AI Environments. 16277–16287. 10 indexed citations
4.
5.
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
6.
Bruce, Janine, et al.. (2022). Communication Skills Training Using Remote Augmented Reality Medical Simulation: a Feasibility and Acceptability Qualitative Study. Medical Science Educator. 32(5). 1005–1014. 22 indexed citations
7.
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
8.
Caruso, Thomas J., et al.. (2021). Integrated eye tracking on Magic Leap One during augmented reality medical simulation: a technical report. BMJ Simulation & Technology Enhanced Learning. 7(5). bmjstel–2020. 6 indexed citations
9.
Haber, Nick, Catalin Voss, Serena Tamura, et al.. (2020). Toward Continuous Social Phenotyping: Analyzing Gaze Patterns in an Emotion Recognition Task for Children With Autism Through Wearable Smart Glasses. Journal of Medical Internet Research. 22(4). e13810–e13810. 35 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.
Freitas, Julian De, et al.. (2020). Learning in Social Environments with Curious Neural Agents. PsyArXiv (OSF Preprints). 1 indexed citations
12.
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
13.
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
14.
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
15.
Mrowca, Damian, Chengxu Zhuang, Nick Haber, et al.. (2018). Flexible neural representation for physics prediction. DSpace@MIT (Massachusetts Institute of Technology). 31. 8799–8810. 35 indexed citations
16.
Kalantarian, Haik, Peter Washington, Jessey Schwartz, et al.. (2018). Guess What?. PubMed. 3(1). 43–66. 33 indexed citations
17.
Duda, Marlena, Nick Haber, Jena Daniels, & Dennis P. Wall. (2017). Crowdsourced validation of a machine-learning classification system for autism and ADHD. Translational Psychiatry. 7(5). e1133–e1133. 64 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.
Duda, Marlena, Ruixin Ma, Nick Haber, & Dennis P. Wall. (2016). Use of machine learning for behavioral distinction of autism and ADHD. Translational Psychiatry. 6(2). e732–e732. 170 indexed citations
20.
Haber, Nick, Catalin Voss, Azar Fazel, Terry Winograd, & Dennis P. Wall. (2016). A practical approach to real-time neutral feature subtraction for facial expression recognition. 1–9. 15 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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