Ian Barnett

2.1k total citations · 1 hit paper
61 papers, 1.1k citations indexed

About

Ian Barnett is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Epidemiology. According to data from OpenAlex, Ian Barnett has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Experimental and Cognitive Psychology, 17 papers in Applied Psychology and 9 papers in Epidemiology. Recurrent topics in Ian Barnett's work include Mental Health Research Topics (18 papers), Digital Mental Health Interventions (14 papers) and Traumatic Brain Injury Research (7 papers). Ian Barnett is often cited by papers focused on Mental Health Research Topics (18 papers), Digital Mental Health Interventions (14 papers) and Traumatic Brain Injury Research (7 papers). Ian Barnett collaborates with scholars based in United States, Israel and Switzerland. Ian Barnett's co-authors include John Torous, Jukka‐Pekka Onnela, Matcheri S. Keshavan, Patrick Staples, Luis Sandoval, Xihong Lin, Seunggeun Lee, Rajarshi Mukherjee, Matthew K. Nock and Colin A. Depp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Annals of Internal Medicine.

In The Last Decade

Ian Barnett

57 papers receiving 1.1k citations

Hit Papers

Relapse prediction in schizophrenia through digital pheno... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Relapse prediction in schizophrenia through digital phenotyping: a pilot study
    2018 240 citations Ian Barnett, John Torous et al. Neuropsychopharmacology profile →

Peers

Ian Barnett
Arfan Ahmed Qatar
Abhishek Pratap United States
Guillaume Chevance Spain
Sarah Graham United States
John Pestian United States
Michael D. Hunter United States
Jayesh Kamath United States
Rashmi Patel United Kingdom
Philipp Doebler Germany
Robert M. Kirkpatrick United States
Arfan Ahmed Qatar
Ian Barnett
Citations per year, relative to Ian Barnett Ian Barnett (= 1×) peers Arfan Ahmed

Countries citing papers authored by Ian Barnett

Since Specialization
Citations

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

Fields of papers citing papers by Ian Barnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Barnett

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Barnett. A scholar is included among the top collaborators of Ian Barnett 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 Ian Barnett. Ian Barnett 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.
Barnett, Ian, et al.. (2024). Permutation-Based Hypothesis Testing for Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14306–14314. 1 indexed citations
2.
Naslund, John A., Anant Bhan, Abhijit R. Rozatkar, et al.. (2024). Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample. Acta Psychiatrica Scandinavica. 151(3). 388–400. 14 indexed citations
3.
Manz, Christopher R., Emily Schriver, Jinbo Chen, et al.. (2024). Association of Remote Patient-Reported Outcomes and Step Counts With Hospitalization or Death Among Patients With Advanced Cancer Undergoing Chemotherapy: Secondary Analysis of the PROStep Randomized Trial. Journal of Medical Internet Research. 26. e51059–e51059. 2 indexed citations
4.
5.
Barnett, Ian, et al.. (2024). The Potential for Digital Phenotyping in Understanding Mindfulness App Engagement Patterns: A Pilot Study. Journal of Integrative and Complementary Medicine. 30(11). 1108–1115. 3 indexed citations
6.
Delgado, M. Kit, Jeffrey P. Ebert, Ruiying Xiong, et al.. (2024). Feedback and Financial Incentives for Reducing Cell Phone Use While Driving. JAMA Network Open. 7(7). e2420218–e2420218. 2 indexed citations
7.
Hackett, Katherine, et al.. (2023). 3 Smartphone Digital Phenotyping for Unobtrusive and Continuous Assessment of Everyday Cognition and Movement Trajectories in Older Adults. Journal of the International Neuropsychological Society. 29(s1). 207–208.
8.
Barnett, Ian, et al.. (2023). Effects of antimicrobial therapy duration and class on risk of antimicrobial‐resistant Gram‐negative bacillus bloodstream infection in patients with AML. Transplant Infectious Disease. 25(6). e14115–e14115. 2 indexed citations
9.
Basner, Mathias, Ian Barnett, Michele M. Carlin, et al.. (2023). Effects of Aircraft Noise on Sleep: Federal Aviation Administration National Sleep Study Protocol. International Journal of Environmental Research and Public Health. 20(21). 7024–7024. 3 indexed citations
10.
11.
Barnett, Ian, et al.. (2023). The impact of the COVID-19 pandemic on daily rhythms. Journal of the American Medical Informatics Association. 30(12). 1943–1953. 6 indexed citations
12.
Xia, Cedric Huchuan, et al.. (2022). Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study. JMIR Formative Research. 6(9). e33890–e33890. 2 indexed citations
13.
Chu, Brian, Daniel O’Connor, Marilyn T. Wan, et al.. (2022). Quality of Life and Physical Activity in 629 Individuals With Sarcoidosis: Prospective, Cross-sectional Study Using Smartphones (Sarcoidosis App). JMIR mhealth and uhealth. 10(8). e38331–e38331. 8 indexed citations
14.
Barnett, Ian, et al.. (2022). Autoregressive mixture models for clustering time series. Journal of Time Series Analysis. 43(6). 918–937. 1 indexed citations
15.
Arbogast, Kristy B., Daniel J. Corwin, Catherine C. McDonald, et al.. (2022). Trajectories of Visual and Vestibular Markers of Youth Concussion. Journal of Neurotrauma. 39(19-20). 1382–1390. 3 indexed citations
16.
Henson, Philip, Ian Barnett, Matcheri S. Keshavan, & John Torous. (2020). Towards clinically actionable digital phenotyping targets in schizophrenia. Schizophrenia. 6(1). 13–13. 31 indexed citations
17.
Barnett, Ian, John Torous, Patrick Staples, et al.. (2018). Relapse prediction in schizophrenia through digital phenotyping: a pilot study. Neuropsychopharmacology. 43(8). 1660–1666. 240 indexed citations breakdown →
18.
Barnett, Ian, et al.. (2015). Power, media, culture : a critical view from the political economy of communication. Palgrave Macmillan eBooks. 1 indexed citations
19.
Barnett, Ian & Xinyi Lin. (2014). Analytical p-value calculation for the higher criticism test in finite-d problems. Biometrika. 101(4). 964–970. 23 indexed citations
20.
Barnett, Ian, et al.. (1996). A STRATEGY FOR CONTROLLING THE LHC MAGNET CURRENTS. CERN Document Server (European Organization for Nuclear Research). 24(37). 22905–22917. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Arfan Ahmed Breakdown of academic impact, for papers by Abhishek Pratap Breakdown of academic impact, for papers by Guillaume Chevance Breakdown of academic impact, for papers by Sarah Graham Breakdown of academic impact, for papers by John Pestian Breakdown of academic impact, for papers by Michael D. Hunter Breakdown of academic impact, for papers by Jayesh Kamath Breakdown of academic impact, for papers by Rashmi Patel Breakdown of academic impact, for papers by Philipp Doebler Breakdown of academic impact, for papers by Robert M. Kirkpatrick
Rankless by CCL
2026