Cathy Labrish
Impact in
- Clinical Psychology top 10%
- Personality Disorders and Psychopathology
- Psychotherapy Techniques and Applications
- Child and Adolescent Psychosocial and Emotional Development
- Suicide and Self-Harm Studies
- Obsessive-Compulsive Spectrum Disorders
Papers in
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- Personality Disorders and Psychopathology 5
- Psychotherapy Techniques and Applications 2
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- Advanced Statistical Modeling Techniques 1
- Co-authors
- David B. Flora (2 shared papers)R. Philip Chalmers (1 shared paper)Shelley McMain (5 shared papers)Ryan Barnhart (2 shared papers)Richard J. Zeifman (1 shared paper)Tali Boritz (1 shared paper)Alexander L. Chapman (2 shared papers)Janice R. Kuo (2 shared papers)
- Journals
- Journal of Personality Disorders (1 paper)Psychotherapy Research (1 paper)Psychotherapy and Psychosomatics (1 paper)Frontiers in Psychology (1 paper)Psychological Medicine (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Cathy Labrish
7 papers receiving 275 citations
Peers
Comparison fields: 5 of 87
- Clinical Psychology 123
- Applied Psychology 12
- Social Psychology 49
- Statistics and Probability 18
- Experimental and Cognitive Psychology 27
Countries citing papers authored by Cathy Labrish
This map shows the geographic impact of Cathy Labrish'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 Cathy Labrish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy Labrish more than expected).
Fields of papers citing papers by Cathy Labrish
This network shows the impact of papers produced by Cathy Labrish. 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 Cathy Labrish. The network helps show where Cathy Labrish may publish in the future.
Co-authors
The 20 scholars most cited alongside Cathy Labrish, 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 | 2012 | 169 | |
| 2 | 2022 | 43 | |
| 3 | 2019 | 40 | |
| 4 | 2018 | 13 | |
| 5 | 2011 | 13 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 2 |
About Cathy Labrish
Cathy Labrish is a scholar working on Clinical Psychology, Computer Networks and Communications, Applied Psychology, Management Science and Operations Research and Developmental and Educational Psychology, having authored 7 papers that have together received 284 indexed citations. Recurring topics across this work include Personality Disorders and Psychopathology (5 papers), Psychotherapy Techniques and Applications (2 papers), Digital Mental Health Interventions (1 paper), Psychometric Methodologies and Testing (1 paper), Behavioral and Psychological Studies (1 paper), Statistical Methods and Bayesian Inference (1 paper), Multi-Criteria Decision Making (1 paper) and Advanced Statistical Modeling Techniques (1 paper). The work is most often cited by research in Clinical Psychology (123 citations), Applied Psychology (12 citations), Social Psychology (49 citations), Statistics and Probability (18 citations) and Experimental and Cognitive Psychology (27 citations). Cathy Labrish has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include David B. Flora, R. Philip Chalmers, Shelley McMain, Ryan Barnhart, Richard J. Zeifman, Tali Boritz, Alexander L. Chapman, Janice R. Kuo, Tim Guimond and Katherine L. Dixon–Gordon. Their work appears in journals such as Journal of Personality Disorders, Psychotherapy Research, Psychotherapy and Psychosomatics, Frontiers in Psychology and Psychological 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.