Adrienne Pichon
Impact in
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
- Gaze Tracking and Assistive Technology
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- Digital Mental Health Interventions
Papers in
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- Mobile Health and mHealth Applications 3
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- Digital Mental Health Interventions 4
- Co-authors
- Rebecca Schnall (6 shared papers)Hwayoung Cho (4 shared papers)Noémie Elhadad (7 shared papers)Robert Garofalo (2 shared papers)Lisa M. Kuhns (2 shared papers)Haomiao Jia (1 shared paper)Suzanne Bakken (2 shared papers)Samantha Stonbraker (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (2 papers)Applied Clinical Informatics (2 papers)International Journal of Medical Informatics (1 paper)Scientific Data (1 paper)ACM Transactions on Computer-Human Interaction (1 paper)
- Partner nations
- United StatesAustriaEstonia
In The Last Decade
Adrienne Pichon
15 papers receiving 262 citations
Peers
Comparison fields: 5 of 81
- Human-Computer Interaction 37
- Applied Psychology 22
- General Health Professions 62
- Health Informatics 3
- Infectious Diseases 30
Countries citing papers authored by Adrienne Pichon
This map shows the geographic impact of Adrienne Pichon'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 Adrienne Pichon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrienne Pichon more than expected).
Fields of papers citing papers by Adrienne Pichon
This network shows the impact of papers produced by Adrienne Pichon. 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 Adrienne Pichon. The network helps show where Adrienne Pichon may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrienne Pichon, 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 | 2019 | 58 | |
| 2 | 2018 | 55 | |
| 3 | 2018 | 30 | |
| 4 | 2021 | 30 | |
| 5 | 2021 | 27 | |
| 6 | 2018 | 23 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 6 | |
| 10 | 2024 | 3 | |
| 11 | Cognitive Function Characterization Using Electronic Health Records Notes. | 2021 | 3 |
| 12 | 2023 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | Auditing Learned Associations in Deep Learning Approaches to Extract Race and Ethnicity from Clinical Text. | 2023 | 1 |
About Adrienne Pichon
Adrienne Pichon is a scholar working on General Health Professions, Applied Psychology, Artificial Intelligence, Infectious Diseases and Clinical Psychology, having authored 15 papers that have together received 269 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (4 papers), Mobile Health and mHealth Applications (3 papers), Machine Learning in Healthcare (2 papers), HIV/AIDS Research and Interventions (2 papers), Attachment and Relationship Dynamics (1 paper), Endometriosis Research and Treatment (1 paper), Nausea and vomiting management (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Human-Computer Interaction (37 citations), Applied Psychology (22 citations), General Health Professions (62 citations), Health Informatics (3 citations) and Infectious Diseases (30 citations). Adrienne Pichon has collaborated with scholars based in United States, Austria and Estonia. Frequent co-authors include Rebecca Schnall, Hwayoung Cho, Noémie Elhadad, Robert Garofalo, Lisa M. Kuhns, Haomiao Jia, Suzanne Bakken, Samantha Stonbraker, Kasey Jackman and Lena Mamykina. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, International Journal of Medical Informatics, Scientific Data and ACM Transactions on Computer-Human Interaction.
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.