Matthew Tunis
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
- Health 17
- Vaccine Coverage and Hesitancy 16
- Epidemiology 17
- Respiratory viral infections research 9
- Influenza Virus Research Studies 7
- Pneumonia and Respiratory Infections 5
- Co-authors
- Kelsey Young (8 shared papers)Linlu Zhao (7 shared papers)Kelly Farrah (2 shared papers)Shainoor J. Ismail (11 shared papers)Caroline Quach (9 shared papers)Rob G. Stirling (2 shared papers)O Baclic (2 shared papers)Beate Sander (6 shared papers)
- Journals
- Vaccine (11 papers)Canada Communicable Disease Report (9 papers)Canadian Medical Association Journal (2 papers)Vaccine X (2 papers)Systematic Reviews (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Matthew Tunis
36 papers receiving 741 citations
Peers
Comparison fields: 5 of 115
- Health Informatics 28
- Health 133
- Epidemiology 208
- Infectious Diseases 105
- Modeling and Simulation 26
Countries citing papers authored by Matthew Tunis
This map shows the geographic impact of Matthew Tunis'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 Tunis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Tunis more than expected).
Fields of papers citing papers by Matthew Tunis
This network shows the impact of papers produced by Matthew Tunis. 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 Tunis. The network helps show where Matthew Tunis may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Tunis, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 188 | |
| 2 | 2020 | 83 | |
| 3 | 2019 | 81 | |
| 4 | 2020 | 44 | |
| 5 | 2020 | 42 | |
| 6 | 2021 | 37 | |
| 7 | 2021 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2020 | 31 | |
| 10 | 2022 | 26 | |
| 11 | 2020 | 22 | |
| 12 | 2014 | 18 | |
| 13 | 2012 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2018 | 6 | |
| 20 | 2023 | 6 |
About Matthew Tunis
Matthew Tunis is a scholar working on Health, Epidemiology, Infectious Diseases, Surgery and General Health Professions, having authored 42 papers that have together received 753 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (16 papers), Respiratory viral infections research (9 papers), Influenza Virus Research Studies (7 papers), Pneumonia and Respiratory Infections (5 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Food Allergy and Anaphylaxis Research (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Health Informatics (28 citations), Health (133 citations), Epidemiology (208 citations), Infectious Diseases (105 citations) and Modeling and Simulation (26 citations). Matthew Tunis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kelsey Young, Linlu Zhao, Kelly Farrah, Shainoor J. Ismail, Caroline Quach, Rob G. Stirling, O Baclic, Beate Sander, Stephen Mac and Jean S. Marshall. Their work appears in journals such as Vaccine, Canada Communicable Disease Report, Canadian Medical Association Journal, Vaccine X and Systematic Reviews.
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.