Chris Longhurst
Impact in
- Health Informatics top 0.02%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.02%
- Electronic Health Records Systems
Papers in
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- Electronic Health Records Systems 52
-
- Artificial Intelligence in Healthcare and Education 12
- Co-authors
- John W. AyersN. Lance DowningMichael HogarthMark DredzeEric C. LeasDavey M. SmithAaron M. GoodmanAdam Poliak
- Journals
- Journal of the American Medical Informatics Association (11 papers)Applied Clinical Informatics (8 papers)PEDIATRICS (7 papers)JAMA Network Open (6 papers)JAMA (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Chris Longhurst
178 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Health Informatics 1.0k
- Health Information Management 1.2k
- Family Practice 259
- Issues, ethics and legal aspects 64
- General Health Professions 1.3k
Countries citing papers authored by Chris Longhurst
This map shows the geographic impact of Chris Longhurst'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 Chris Longhurst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Longhurst more than expected).
Fields of papers citing papers by Chris Longhurst
This network shows the impact of papers produced by Chris Longhurst. 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 Chris Longhurst. The network helps show where Chris Longhurst may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris Longhurst, 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 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 17 | |
| 7 | 2024 | 26 | |
| 8 | 2024 | 16 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 20 | |
| 13 | Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum Hit paper breakdown → | 2023 | 1184 |
| 14 | 2023 | 1 | |
| 15 | 2023 | 19 | |
| 16 | 2022 | 2 | |
| 17 | 2021 | 15 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 113 | |
| 20 | 2019 | 5 |
About Chris Longhurst
Chris Longhurst is a scholar working on Health Information Management, Health Informatics, Medical Terminology, Family Practice and Emergency Medical Services, having authored 192 papers that have together received 5.5k indexed citations. Recurring topics across this work include Electronic Health Records Systems (52 papers), Healthcare Systems and Technology (22 papers), Patient Safety and Medication Errors (16 papers), Healthcare Technology and Patient Monitoring (15 papers), Mobile Health and mHealth Applications (13 papers), Telemedicine and Telehealth Implementation (12 papers), Artificial Intelligence in Healthcare and Education (12 papers) and Insect and Arachnid Ecology and Behavior (11 papers). The work is most often cited by research in Health Informatics (1.0k citations), Health Information Management (1.2k citations), Family Practice (259 citations), Issues, ethics and legal aspects (64 citations) and General Health Professions (1.3k citations). Chris Longhurst has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John W. Ayers, N. Lance Downing, Michael Hogarth, Mark Dredze, Eric C. Leas, Davey M. Smith, Aaron M. Goodman, Adam Poliak, Dennis J. Faix and Natalie M. Pageler. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, PEDIATRICS, JAMA Network Open and JAMA.
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.