Patrick Staples

24 papers receiving 1.4k citations

Patrick Staples's Hit Papers

Relapse prediction in schizophrenia through digital phenotyping: a pilot study 2018 · 278 citations
2780+3+6Years since publication100200300

Peers

Patrick Staples
Comparison fields: 5 of 119
  • Applied Psychology 481
  • Health Informatics 71
  • Experimental and Cognitive Psychology 301
  • Psychiatry and Mental health 116
  • Neurology 93
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Ian Barnett United States
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Henning Krampe Germany
Mark W. Reid United States
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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-authors

The 25 scholars most cited alongside Patrick Staples, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Staples Line = papers co-authored together Patrick Staples links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review
Hit paper breakdown →
2017342
2
Relapse prediction in schizophrenia through digital phenotyping: a pilot study
Hit paper breakdown →
2018278
3 2015212
4 2015123
5 201884
6 201981
7 201965
8 201862
9 201747
10 201738
11 201836
12
Quality of life, hope, and uncertainty of cardiac patients and their spouses before coronary artery bypass surgery.
199726
13 201619
14 202214
15
What Can Go Wrong in Comminution Circuit Design
200910
16 20189
17 20176
18 20176
19 20184
20 20173

About Patrick Staples

Patrick Staples is a scholar working on Applied Psychology, Experimental and Cognitive Psychology, General Health Professions, Infectious Diseases and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Mental Health Interventions (10 papers), Mental Health Research Topics (5 papers), Mobile Health and mHealth Applications (5 papers), Sleep and related disorders (2 papers), Health, Environment, Cognitive Aging (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and Mineral Processing and Grinding (1 paper). The work is most often cited by research in Applied Psychology (481 citations), Health Informatics (71 citations), Experimental and Cognitive Psychology (301 citations), Psychiatry and Mental health (116 citations) and Neurology (93 citations). Patrick Staples has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include John Torous, Jukka‐Pekka Onnela, Matcheri S. Keshavan, Ian Barnett, Luis Sandoval, Marike L. D. Broekman, Joeky T. Senders, William B. Gormley, Timothy R. Smith and Omar Arnaout. Their work appears in journals such as Biological Psychiatry, Journal of the American Medical Informatics Association, JCO Clinical Cancer Informatics, Frontiers in Human Neuroscience and npj Digital Medicine.

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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