Paul Stey
Impact in
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- Forgiveness and Related Behaviors
Papers in
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- Psychology of Moral and Emotional Judgment 4
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Daniel K. Lapsley (5 shared papers)Mark Alfano (4 shared papers)Kathryn Iurino (1 shared paper)Feng Yu (1 shared paper)Brian Robinson (1 shared paper)Markus Christen (1 shared paper)Kristin Valentino (1 shared paper)Michelle Comas (1 shared paper)
- Journals
- PLoS ONE (2 papers)Database (2 papers)European Journal of Developmental Psychology (1 paper)Scientific Reports (1 paper)Philosophical Studies (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Paul Stey
18 papers receiving 240 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 6
- Social Psychology 74
- Developmental and Educational Psychology 42
- Health Information Management 15
- Cognitive Neuroscience 53
Countries citing papers authored by Paul Stey
This map shows the geographic impact of Paul Stey'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 Paul Stey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Stey more than expected).
Fields of papers citing papers by Paul Stey
This network shows the impact of papers produced by Paul Stey. 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 Paul Stey. The network helps show where Paul Stey may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Stey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | Predicting Mortality in Diabetic ICU Patients Using Machine Learning and Severity Indices. | 2018 | 34 |
| 3 | 2014 | 30 | |
| 4 | 2015 | 19 | |
| 5 | 2014 | 14 | |
| 6 | 2013 | 13 | |
| 7 | 2019 | 11 | |
| 8 | 2013 | 10 | |
| 9 | Using Demographic Factors and Comorbidities to Develop a Predictive Model for ICU Mortality in Patients with Acute Exacerbation COPD. | 2018 | 8 |
| 10 | 2014 | 5 | |
| 11 | Trend Analysis of Aggregate Outcomes in Complex Health Survey Data. | 2018 | 5 |
| 12 | 2020 | 3 | |
| 13 | An Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria. | 2017 | 3 |
| 14 | 2013 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2019 | 1 | |
| 17 | Reversing the Side-Effect Effect | 2014 | 1 |
| 18 | 2022 | 1 |
About Paul Stey
Paul Stey is a scholar working on Cognitive Neuroscience, Molecular Biology, Social Psychology, Clinical Psychology and Artificial Intelligence, having authored 18 papers that have together received 247 indexed citations. Recurring topics across this work include Psychology of Moral and Emotional Judgment (4 papers), Emotions and Moral Behavior (2 papers), Ethics in Business and Education (2 papers), Bioinformatics and Genomic Networks (2 papers), Epistemology, Ethics, and Metaphysics (2 papers), Machine Learning in Healthcare (2 papers), Diabetes Management and Research (1 paper) and Perfectionism, Procrastination, Anxiety Studies (1 paper). The work is most often cited by research in Health Informatics (6 citations), Social Psychology (74 citations), Developmental and Educational Psychology (42 citations), Health Information Management (15 citations) and Cognitive Neuroscience (53 citations). Paul Stey has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Daniel K. Lapsley, Mark Alfano, Kathryn Iurino, Feng Yu, Brian Robinson, Markus Christen, Kristin Valentino, Michelle Comas, Elizabeth Chen and Amy K. Nuttall. Their work appears in journals such as PLoS ONE, Database, European Journal of Developmental Psychology, Scientific Reports and Philosophical Studies.
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.