Mike Conway
Impact in
- Applied Psychology top 2%
- Digital Mental Health Interventions
- Health top 2%
- Social Media in Health Education
Papers in
-
- Digital Mental Health Interventions 12
- Co-authors
- Albert ParkWendy W. ChapmanAnnie ChenDaniel O’ConnorMark MyslínDanielle L. MoweryNigel CollierSon Doan
- Journals
- Journal of Medical Internet Research (10 papers)Journal of Biomedical Informatics (4 papers)Journal of Biomedical Semantics (3 papers)PLoS ONE (3 papers)JMIR Public Health and Surveillance (2 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Mike Conway
108 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 168
- Applied Psychology 307
- Health 339
- Communication 229
- Health Informatics 38
- Social Psychology 504
Countries citing papers authored by Mike Conway
This map shows the geographic impact of Mike Conway'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 Mike Conway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Conway more than expected).
Fields of papers citing papers by Mike Conway
This network shows the impact of papers produced by Mike Conway. 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 Mike Conway. The network helps show where Mike Conway may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mike Conway, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 11 | |
| 12 | 2018 | 2 | |
| 13 | 2017 | 70 | |
| 14 | Towards Automatically Classifying Depressive Symptoms from Twitter Data for Population Health | 2016 | 26 |
| 15 | Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records | 2013 | 16 |
| 16 | 2013 | 6 | |
| 17 | Discovering Lexical Instantiations of Clinical Concepts using Web Services, WordNet and Corpus Resources. | 2012 | 6 |
| 18 | Developing an application ontology for mining free text clinical reports: The extended syndromic surveillance ontology | 2010 | 7 |
| 19 | 2009 | 14 | |
| 20 | 2007 | 8 |
About Mike Conway
Mike Conway is a scholar working on Applied Psychology, Communication, Social Psychology, Artificial Intelligence and Toxicology, having authored 121 papers that have together received 2.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (26 papers), Mental Health via Writing (21 papers), Data-Driven Disease Surveillance (21 papers), Topic Modeling (13 papers), Digital Mental Health Interventions (12 papers), Smoking Behavior and Cessation (11 papers), Misinformation and Its Impacts (11 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Applied Psychology (307 citations), Health (339 citations), Communication (229 citations), Health Informatics (38 citations) and Social Psychology (504 citations). Mike Conway has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Albert Park, Wendy W. Chapman, Annie Chen, Daniel O’Connor, Mark Myslín, Danielle L. Mowery, Nigel Collier, Son Doan, Shu‐Hong Zhu and Samantha Hurst. Their work appears in journals such as Journal of Medical Internet Research, Journal of Biomedical Informatics, Journal of Biomedical Semantics, PLoS ONE and JMIR Public Health and Surveillance.
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.