Matthew D. Kearney
- Sociology and Political Science top 10%
- Health top 5%
- General Health Professions top 10%
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Co-authors
- Philip M. MasseyAmy LeaderEmmanuel KokuJaya AysolaEve J. HigginbothamFrances K. BargJennifer A. ManganelloPeter F. Cronholm
- Topics
- Vaccine Coverage and Hesitancy (5 papers)Misinformation and Its Impacts (4 papers)Global Health Workforce Issues (3 papers)
- Cited by
- HealthCommunicationGender Studies
- Journals
- SHILAP Revista de lepidopterologíaJournal of General Internal MedicineAmerican Journal of Kidney Diseases
- Partner nations
- United StatesIndia
In The Last Decade
Matthew D. Kearney
22 papers receiving 392 citations
Peers
Comparison fields: 5 of 85
- Sociology and Political Science 182
- Health 154
- General Health Professions 91
- Artificial Intelligence 59
- Public Health, Environmental and Occupational Health 57
Countries citing papers authored by Matthew D. Kearney
This map shows the geographic impact of Matthew D. Kearney'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 D. Kearney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Kearney more than expected).
Fields of papers citing papers by Matthew D. Kearney
This network shows the impact of papers produced by Matthew D. Kearney. 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 D. Kearney. The network helps show where Matthew D. Kearney may publish in the future.
Co-authorship network of co-authors of Matthew D. Kearney
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Kearney. A scholar is included among the top collaborators of Matthew D. Kearney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew D. Kearney. Matthew D. Kearney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | 93 | |
| 15 | 32 | |
| 16 | 54 | |
| 17 | 60 | |
| 18 | 8 | |
| 19 | 36 | |
| 20 | 36 |
About Matthew D. Kearney
Matthew D. Kearney is a scholar working on Health, Emergency Medical Services and General Health Professions, having authored 27 papers that have together received 405 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Misinformation and Its Impacts (4 papers) and Global Health Workforce Issues (3 papers). The work is most often cited by research in Health (154 citations), Communication (44 citations) and Gender Studies (46 citations). Matthew D. Kearney has collaborated with scholars based in United States and India. Frequent co-authors include Philip M. Massey, Amy Leader, Emmanuel Koku, Jaya Aysola, Eve J. Higginbotham, Frances K. Barg, Jennifer A. Manganello, Peter F. Cronholm, Peter Sang Uk Park and Robert A. Gabbay. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of General Internal Medicine and American Journal of Kidney Diseases.
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.