Matthew Nagy
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
Papers in
-
- Obesity, Physical Activity, Diet 5
-
- Artificial Intelligence in Healthcare and Education 5
- Co-authors
- Aziz Nazha (4 shared papers)Nathan Radakovich (3 shared papers)Bryan A. Sisk (2 shared papers)Rebecca E. Hasson (9 shared papers)Molly O’Sullivan (7 shared papers)Natalie Colabianchi (5 shared papers)Leah E. Robinson (4 shared papers)William H. Smith (1 shared paper)
- Journals
- Pediatric Exercise Science (3 papers)Journal of Physical Activity and Health (2 papers)Nature Communications (1 paper)Pediatric Nephrology (1 paper)JCO Clinical Cancer Informatics (1 paper)
- Partner nations
- United StatesUgandaBurundi
In The Last Decade
Matthew Nagy
25 papers receiving 329 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 55
- Health Information Management 12
- Radiology, Nuclear Medicine and Imaging 37
- Public Health, Environmental and Occupational Health 41
- Genetics 15
Countries citing papers authored by Matthew Nagy
This map shows the geographic impact of Matthew Nagy'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 Matthew Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Nagy more than expected).
Fields of papers citing papers by Matthew Nagy
This network shows the impact of papers produced by Matthew Nagy. 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 Matthew Nagy. The network helps show where Matthew Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 74 | |
| 2 | 2020 | 52 | |
| 3 | 2020 | 35 | |
| 4 | 2020 | 29 | |
| 5 | Screening for prostate cancer: a comparison of urologists and primary care physicians. | 1996 | 22 |
| 6 | 2018 | 17 | |
| 7 | 2017 | 13 | |
| 8 | 2024 | 11 | |
| 9 | 2017 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 1977 | 5 | |
| 20 | 2023 | 3 |
About Matthew Nagy
Matthew Nagy is a scholar working on Public Health, Environmental and Occupational Health, Health Informatics, Pulmonary and Respiratory Medicine, Artificial Intelligence and Physiology, having authored 26 papers that have together received 344 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), AI in cancer detection (3 papers), Digital Imaging for Blood Diseases (2 papers), Children's Physical and Motor Development (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Stress Responses and Cortisol (1 paper) and Diet and metabolism studies (1 paper). The work is most often cited by research in Health Informatics (55 citations), Health Information Management (12 citations), Radiology, Nuclear Medicine and Imaging (37 citations), Public Health, Environmental and Occupational Health (41 citations) and Genetics (15 citations). Matthew Nagy has collaborated with scholars based in United States, Uganda and Burundi. Frequent co-authors include Aziz Nazha, Nathan Radakovich, Bryan A. Sisk, Rebecca E. Hasson, Molly O’Sullivan, Natalie Colabianchi, Leah E. Robinson, William H. Smith, Florence T. Bourgeois and Ryan Brewster. Their work appears in journals such as Pediatric Exercise Science, Journal of Physical Activity and Health, Nature Communications, Pediatric Nephrology and JCO Clinical Cancer Informatics.
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.