Michael Hogarth
Impact in
- Health Informatics top 0.02%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 1%
- Clinical Reasoning and Diagnostic Skills
Papers in
-
- Artificial Intelligence in Healthcare and Education 4
- Co-authors
- John W. AyersDavey M. SmithMark DredzeEric C. LeasChris LonghurstAdam PoliakAaron M. GoodmanDennis J. Faix
- Journals
- Journal of Medical Internet Research (4 papers)Academic Medicine (3 papers)JAMA Internal Medicine (2 papers)Learning Health Systems (2 papers)Neuroinformatics (1 paper)
- Partner nations
- United StatesSaudi ArabiaGermany
In The Last Decade
Michael Hogarth
52 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Health Informatics 879
- Family Practice 155
- Health Information Management 142
- Artificial Intelligence 550
- Radiology, Nuclear Medicine and Imaging 387
Countries citing papers authored by Michael Hogarth
This map shows the geographic impact of Michael Hogarth'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 Michael Hogarth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hogarth more than expected).
Fields of papers citing papers by Michael Hogarth
This network shows the impact of papers produced by Michael Hogarth. 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 Michael Hogarth. The network helps show where Michael Hogarth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Hogarth, 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 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum Hit paper breakdown → | 2023 | 1184 |
| 8 | 2023 | 0 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 32 | |
| 17 | 2013 | 33 | |
| 18 | jTerm: an open source terminology server. | 2003 | 1 |
| 19 | 2002 | 23 | |
| 20 | jTerm: A Server for Terminological Systems | 2001 | 1 |
About Michael Hogarth
Michael Hogarth is a scholar working on Medical Terminology, Health Informatics, Health Information Management, Family Practice and Artificial Intelligence, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Electronic Health Records Systems (10 papers), Semantic Web and Ontologies (5 papers), Healthcare Systems and Technology (4 papers), Machine Learning in Healthcare (4 papers), Ethics in Clinical Research (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Radiology practices and education (4 papers). The work is most often cited by research in Health Informatics (879 citations), Family Practice (155 citations), Health Information Management (142 citations), Artificial Intelligence (550 citations) and Radiology, Nuclear Medicine and Imaging (387 citations). Michael Hogarth has collaborated with scholars based in United States, Saudi Arabia and Germany. Frequent co-authors include John W. Ayers, Davey M. Smith, Mark Dredze, Eric C. Leas, Chris Longhurst, Adam Poliak, Aaron M. Goodman, Dennis J. Faix, Thomas F. Anders and Lydia Pleotis Howell. Their work appears in journals such as Journal of Medical Internet Research, Academic Medicine, JAMA Internal Medicine, Learning Health Systems and Neuroinformatics.
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.