Patrick Staples

2.2k total citations · 1 hit paper
24 papers, 1.4k citations indexed

About

Patrick Staples is a scholar working on Applied Psychology, Experimental and Cognitive Psychology and General Health Professions. According to data from OpenAlex, Patrick Staples has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Applied Psychology, 10 papers in Experimental and Cognitive Psychology and 6 papers in General Health Professions. Recurrent topics in Patrick Staples's work include Digital Mental Health Interventions (10 papers), Mental Health Research Topics (7 papers) and Mobile Health and mHealth Applications (6 papers). Patrick Staples is often cited by papers focused on Digital Mental Health Interventions (10 papers), Mental Health Research Topics (7 papers) and Mobile Health and mHealth Applications (6 papers). Patrick Staples collaborates with scholars based in United States, Israel and Netherlands. Patrick Staples's co-authors include Jukka‐Pekka Onnela, John Torous, Matcheri S. Keshavan, Ian Barnett, Luis Sandoval, Timothy R. Smith, Omar Arnaout, William B. Gormley, Marike L. D. Broekman and Joeky T. Senders and has published in prestigious journals such as Biological Psychiatry, Neuropsychopharmacology and Schizophrenia Bulletin.

In The Last Decade

Patrick Staples

24 papers receiving 1.3k citations

Hit Papers

Relapse prediction in schizophrenia through digital pheno... 2018 2026 2020 2023 2018 50 100 150 200

Peers

Patrick Staples
Ian Barnett United States
Ling Jin China
Job Godino United States
Reza Hosseini Ghomi United States
Sohrab Saeb United States
Nan Zeng United States
Carissa A. Low United States
Diane K. Ehlers United States
Mark W. Reid United States
Ian Barnett United States
Patrick Staples
Citations per year, relative to Patrick Staples Patrick Staples (= 1×) peers Ian Barnett

Countries citing papers authored by Patrick Staples

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Staples

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Staples

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Staples. A scholar is included among the top collaborators of Patrick Staples 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 Patrick Staples. Patrick Staples 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.
Staples, Patrick, et al.. (2023). Leveraging Contact Network Information in Clustered Randomized Studies of Contagion Processes. PubMed. 9(2). 157–175. 1 indexed citations
2.
Pellegrini, Amelia M., Emily J. Huang, Patrick Staples, et al.. (2022). Estimating longitudinal depressive symptoms from smartphone data in a transdiagnostic cohort. Brain and Behavior. 12(2). e02077–e02077. 12 indexed citations
3.
Berry, James D., Sabrina Paganoni, Katherine M. Burke, et al.. (2019). Design and results of a smartphone‐based digital phenotyping study to quantify ALS progression. Annals of Clinical and Translational Neurology. 6(5). 873–881. 62 indexed citations
4.
Senders, Joeky T., Patrick Staples, Alireza Mehrtash, et al.. (2019). An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning. Neurosurgery. 86(2). E184–E192. 78 indexed citations
5.
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 →
6.
Torous, John, Patrick Staples, Ian Barnett, et al.. (2018). Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia. npj Digital Medicine. 1(1). 15–15. 76 indexed citations
7.
Onnela, Jukka‐Pekka, Matcheri S. Keshavan, Patrick Staples, Ian Barnett, & John Torous. (2018). 150. Automated Longitudinal Latent Interval Estimation With Applications to Sleep. Biological Psychiatry. 83(9). S61–S61. 2 indexed citations
8.
Wright, Alexi A., et al.. (2018). The HOPE Pilot Study: Harnessing Patient-Reported Outcomes and Biometric Data to Enhance Cancer Care. JCO Clinical Cancer Informatics. 2(2). 1–12. 59 indexed citations
9.
Barnett, Ian, John Torous, Patrick Staples, et al.. (2018). 151. Relapse Prediction in Schizophrenia through Digital Phenotyping. Biological Psychiatry. 83(9). S61–S62. 4 indexed citations
10.
Barnett, Ian, John Torous, Patrick Staples, Matcheri S. Keshavan, & Jukka‐Pekka Onnela. (2018). Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data. Journal of the American Medical Informatics Association. 25(12). 1669–1674. 34 indexed citations
11.
Staples, Patrick, et al.. (2018). 149. Characterizing the Clinical Relevance of Digital Phenotyping Data Quality With Applications to a Cohort With Schizophrenia. Biological Psychiatry. 83(9). S61–S61. 2 indexed citations
12.
Senders, Joeky T., Patrick Staples, Aditya V. Karhade, et al.. (2017). Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review. World Neurosurgery. 109. 476–486.e1. 322 indexed citations
13.
Staples, Patrick, John Torous, Ian Barnett, et al.. (2017). A comparison of passive and active estimates of sleep in a cohort with schizophrenia. Schizophrenia. 3(1). 37–37. 45 indexed citations
14.
Balzer, Laura B., Patrick Staples, Jukka‐Pekka Onnela, & Victor DeGruttola. (2017). Using a network-based approach and targeted maximum likelihood estimation to evaluate the effect of adding pre-exposure prophylaxis to an ongoing test-and-treat trial. Clinical Trials. 14(2). 201–210. 5 indexed citations
15.
Torous, John, Matcheri S. Keshavan, Jukka‐Pekka Onnela, Patrick Staples, & Ian Barnett. (2017). M48. Digital Phenotyping in Schizophrenia Using Smartphones. Schizophrenia Bulletin. 43(suppl_1). S228–S228. 2 indexed citations
16.
Coté, David J., Ian Barnett, Joeky T. Senders, et al.. (2017). OS05.3 Digital Phenotyping: A Novel Method for Quality of Life Assessment in Patients with Brain Tumors. Neuro-Oncology. 19(suppl_3). iii9–iii9. 2 indexed citations
17.
Torous, John, et al.. (2016). Barriers, Benefits, and Beliefs of Brain Training Smartphone Apps: An Internet Survey of Younger US Consumers. Frontiers in Human Neuroscience. 10. 180–180. 16 indexed citations
19.
Torous, John, Patrick Staples, & Jukka‐Pekka Onnela. (2015). Realizing the Potential of Mobile Mental Health: New Methods for New Data in Psychiatry. Current Psychiatry Reports. 17(8). 602–602. 120 indexed citations
20.
Staples, Patrick, et al.. (1997). Quality of life, hope, and uncertainty of cardiac patients and their spouses before coronary artery bypass surgery.. PubMed. 8(1). 7–16. 26 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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