John Pestian
Impact in
- Health Informatics top 1%
- Applied Psychology top 2%
- Digital Mental Health Interventions
Papers in
-
- Topic Modeling 21
- Machine Learning in Healthcare 12
- Co-authors
- Paweł MatykiewiczKevin Bretonnel CohenArno ZaritskyFaiqa QureshiParis H. DavisWłodzisław DuchChristopher R. WolfeShari L. Wade
- Journals
- Suicide and Life-Threatening Behavior (4 papers)Epilepsia (3 papers)Acta Neurologica Scandinavica (3 papers)PEDIATRICS (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
John Pestian
69 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 136
- Health Informatics 98
- Applied Psychology 208
- Artificial Intelligence 887
- Health Information Management 111
- Social Psychology 486
Countries citing papers authored by John Pestian
This map shows the geographic impact of John Pestian'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 John Pestian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Pestian more than expected).
Fields of papers citing papers by John Pestian
This network shows the impact of papers produced by John Pestian. 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 John Pestian. The network helps show where John Pestian may publish in the future.
Co-authors
The 25 scholars most cited alongside John Pestian, 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 | 2024 | 5 | |
| 2 | 2023 | 11 | |
| 3 | 2022 | 17 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 17 | |
| 6 | 2018 | 12 | |
| 7 | 2017 | 36 | |
| 8 | 2017 | 3 | |
| 9 | 2016 | 91 | |
| 10 | A Statistical Approach for Visualizing the Quality of Multi-Hospital Data | 2014 | 2 |
| 11 | 2014 | 22 | |
| 12 | 2014 | 6 | |
| 13 | Earlier Identification of Epilepsy Surgery Candidates Using Natural Language Processing | 2013 | 10 |
| 14 | 2012 | 116 | |
| 15 | Effect of small sample size on text categorization with support vector machines | 2012 | 17 |
| 16 | 2008 | 24 | |
| 17 | Nonambiguous Concept Mapping in Medical Domain | 2006 | 0 |
| 18 | 2004 | 60 | |
| 19 | 2002 | 82 | |
| 20 | 2000 | 15 |
About John Pestian
John Pestian is a scholar working on Health Informatics, Artificial Intelligence, Clinical Psychology, Psychiatry and Mental health and Social Psychology, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Biomedical Text Mining and Ontologies (13 papers), Suicide and Self-Harm Studies (12 papers), Machine Learning in Healthcare (12 papers), Mental Health via Writing (11 papers), Epilepsy research and treatment (8 papers), Asthma and respiratory diseases (7 papers) and Cystic Fibrosis Research Advances (5 papers). The work is most often cited by research in Health Informatics (98 citations), Applied Psychology (208 citations), Artificial Intelligence (887 citations), Health Information Management (111 citations) and Social Psychology (486 citations). John Pestian has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Paweł Matykiewicz, Kevin Bretonnel Cohen, Arno Zaritsky, Faiqa Qureshi, Paris H. Davis, Włodzisław Duch, Christopher R. Wolfe, Shari L. Wade, Louis–Philippe Morency and C. Brew. Their work appears in journals such as Suicide and Life-Threatening Behavior, Epilepsia, Acta Neurologica Scandinavica, PEDIATRICS and BMC Bioinformatics.
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.