Matthew Tunis

1.1k citations
42 papers · 718 indexed · h-index 13

Impact in

Papers in

Matthew Tunis

36 papers receiving 707 citations

Peers

Matthew Tunis
Comparison fields: 5 of 130
  • Health Informatics 33
  • Health 183
  • Modeling and Simulation 47
  • Infectious Diseases 156
  • Epidemiology 241
Replace Neal D. Goldstein with:
Neal D. Goldstein United States
Fagen Xie United States
Marshall Dozier United Kingdom
Paramjit Sandhu United States
Manuel Medina Spain
Dimple Rajgor Singapore
Annalisa Rosso Italy
Katherine Chaplin United Kingdom
Rieke van der Graaf Netherlands
Farah Yasmin Pakistan
Matthew Tunis relative to Neal D. Goldstein United States Neal D. Goldstein's profile →
Citations per field
00.5×2.5×
Neal D. Goldstein · 1×
Citations per year

Countries citing papers authored by Matthew Tunis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Matthew Tunis Line = papers co-authored together Matthew Tunis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20244
5 20240
6 20241
7 20230
8 20236
9 20233
10 20231
11 20235
12 202225
13 20226
14 202110
15 20214
16 202080
17 201931
18 2019177
19 20184
20 201214

About Matthew Tunis

Matthew Tunis is a scholar working on Health, Health Informatics, Modeling and Simulation, Immunology and Allergy and Infectious Diseases, having authored 42 papers that have together received 718 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (20 papers), Respiratory viral infections research (10 papers), Influenza Virus Research Studies (7 papers), Pneumonia and Respiratory Infections (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (5 papers), Food Allergy and Anaphylaxis Research (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Health Informatics (33 citations), Health (183 citations), Modeling and Simulation (47 citations), Infectious Diseases (156 citations) and Epidemiology (241 citations). Matthew Tunis has collaborated with scholars based in Canada, United Kingdom and United States. 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.

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