Joseph Farrington
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Digital Mental Health Interventions
Papers in
-
- Drug-Induced Adverse Reactions 2
-
- Autoimmune Bullous Skin Diseases 2
- Co-authors
- Kezhi Li (7 shared papers)Johan H. Thygesen (2 shared papers)Alvina G. Lai (2 shared papers)Martin Utley (4 shared papers)Sonya Crowe (1 shared paper)Zella King (1 shared paper)Wai Keong Wong (4 shared papers)Steve Harris (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)The Journal of Urology (1 paper)Translational Vision Science & Technology (1 paper)Transfusion (1 paper)Annals of Operations Research (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Joseph Farrington
8 papers receiving 171 citations
Joseph Farrington's Hit Papers
Peers
Comparison fields: 5 of 58
- Health Informatics 13
- Applied Psychology 25
- Ophthalmology 19
- Anatomy 2
- Emergency Medicine 11
Countries citing papers authored by Joseph Farrington
This map shows the geographic impact of Joseph Farrington'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 Joseph Farrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Farrington more than expected).
Fields of papers citing papers by Joseph Farrington
This network shows the impact of papers produced by Joseph Farrington. 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 Joseph Farrington. The network helps show where Joseph Farrington may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Farrington, 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 | Large Language Models for Mental Health Applications: Systematic Review Hit paper breakdown → | 2024 | 75 |
| 2 | 2022 | 39 | |
| 3 | 2022 | 26 | |
| 4 | 2023 | 17 | |
| 5 | 2024 | 9 | |
| 6 | 2025 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 1955 | 1 | |
| 9 | 1958 | 1 | |
| 10 | Contact testing of the buccal mucous membrane with special reference to penicillin. | 2010 | 0 |
| 11 | Cutaneous hypersensitivity reactions to penicillin in the aged. | 2010 | 0 |
| 12 | 2025 | 0 |
About Joseph Farrington
Joseph Farrington is a scholar working on Pharmacology, Pathology and Forensic Medicine, Social Psychology, Rheumatology and Infectious Diseases, having authored 12 papers that have together received 173 indexed citations. Recurring topics across this work include Mental Health via Writing (2 papers), Drug-Induced Adverse Reactions (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Supply Chain and Inventory Management (1 paper), Autopsy Techniques and Outcomes (1 paper), Blood donation and transfusion practices (1 paper) and Dermatological diseases and infestations (1 paper). The work is most often cited by research in Health Informatics (13 citations), Applied Psychology (25 citations), Ophthalmology (19 citations), Anatomy (2 citations) and Emergency Medicine (11 citations). Joseph Farrington has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Kezhi Li, Johan H. Thygesen, Alvina G. Lai, Martin Utley, Sonya Crowe, Zella King, Wai Keong Wong, Steve Harris, Samer Elkhodair and Samah Alimam. Their work appears in journals such as npj Digital Medicine, The Journal of Urology, Translational Vision Science & Technology, Transfusion and Annals of Operations Research.
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.