M Healy
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills
Papers in
-
- Obesity, Physical Activity, Diet 3
- Clinical practice guidelines implementation 1
- Surgery 2
- Co-authors
- Arfan Ahmed (1 shared paper)Rafat Damseh (1 shared paper)Alaa Abd‐Alrazaq (1 shared paper)Sarah Aziz (1 shared paper)Dari Alhuwail (1 shared paper)Javaid I. Sheikh (1 shared paper)Rawan AlSaad (1 shared paper)Syed Latifi (2 shared papers)
In The Last Decade
M Healy
9 papers receiving 425 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Health Informatics 232
- Family Practice 36
- Radiology, Nuclear Medicine and Imaging 109
- Computer Science Applications 25
- General Dentistry 7
Countries citing papers authored by M Healy
This map shows the geographic impact of M Healy'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 M Healy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Healy more than expected).
Fields of papers citing papers by M Healy
This network shows the impact of papers produced by M Healy. 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 M Healy. The network helps show where M Healy may publish in the future.
Co-authors
The 25 scholars most cited alongside M Healy, 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 in Medical Education: Opportunities, Challenges, and Future Directions Hit paper breakdown → | 2023 | 316 |
| 2 | 2015 | 64 | |
| 3 | 1995 | 23 | |
| 4 | 2015 | 15 | |
| 5 | 2014 | 15 | |
| 6 | Towards a Framework for Defining and Categorising Business Process-As-A-Service (BPaaS) | 2014 | 8 |
| 7 | 2016 | 3 | |
| 8 | 2011 | 2 | |
| 9 | Care of type 2 diabetes in unresourced general practice: current practice in the Mid-West. | 2014 | 1 |
| 10 | 2025 | 0 |
About M Healy
M Healy is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Information Systems, Gender Studies and Genetics, having authored 10 papers that have together received 447 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Media, Gender, and Advertising (2 papers), Clinical practice guidelines implementation (1 paper), Obesity and Health Practices (1 paper), COVID-19 diagnosis using AI (1 paper), Medical Coding and Health Information (1 paper), Mechanical Circulatory Support Devices (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Health Informatics (232 citations), Family Practice (36 citations), Radiology, Nuclear Medicine and Imaging (109 citations), Computer Science Applications (25 citations) and General Dentistry (7 citations). M Healy has collaborated with scholars based in Ireland, Canada and Qatar. Frequent co-authors include Arfan Ahmed, Rafat Damseh, Alaa Abd‐Alrazaq, Sarah Aziz, Dari Alhuwail, Javaid I. Sheikh, Rawan AlSaad, Syed Latifi, Rose Anne Kenny and Siobhán Leahy. Their work appears in journals such as Critical Care, Archives of Disease in Childhood, JMIR Medical Education, Public Health Nutrition and Diabetes Metabolic Syndrome and Obesity.
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.