Stephen Mac
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 5
-
- Vector-borne infectious diseases 4
- Co-authors
- Beate Sander (18 shared papers)Raphael Ximenes (8 shared papers)Yasín A. Khan (8 shared papers)David Malcolm Joseph Naimark (8 shared papers)Kali A Barrett (8 shared papers)Matthew C. Tunis (1 shared paper)Samir N. Patel (4 shared papers)Jennie Johnstone (1 shared paper)
- Journals
- PLoS ONE (3 papers)CMAJ Open (2 papers)Molecular Cancer Therapeutics (1 paper)Antimicrobial Resistance and Infection Control (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- CanadaBrazilUnited States
In The Last Decade
Stephen Mac
19 papers receiving 477 citations
Peers
Comparison fields: 5 of 74
- Parasitology 98
- Modeling and Simulation 48
- Applied Microbiology and Biotechnology 18
- Molecular Medicine 37
- Emergency Medical Services 22
Countries citing papers authored by Stephen Mac
This map shows the geographic impact of Stephen Mac'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 Stephen Mac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Mac more than expected).
Fields of papers citing papers by Stephen Mac
This network shows the impact of papers produced by Stephen Mac. 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 Stephen Mac. The network helps show where Stephen Mac may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Mac, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2019 | 74 | |
| 3 | 2020 | 74 | |
| 4 | 2016 | 38 | |
| 5 | 2019 | 31 | |
| 6 | 2019 | 29 | |
| 7 | 2021 | 28 | |
| 8 | 2019 | 24 | |
| 9 | 2021 | 21 | |
| 10 | 2023 | 17 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2021 | 1 | |
| 20 | 2022 | 0 |
About Stephen Mac
Stephen Mac is a scholar working on Modeling and Simulation, Parasitology, Emergency Medical Services, Applied Microbiology and Biotechnology and Economics and Econometrics, having authored 24 papers that have together received 489 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (5 papers), COVID-19 epidemiological studies (5 papers), Vector-borne infectious diseases (4 papers), Disaster Response and Management (3 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 Clinical Research Studies (2 papers), Respiratory viral infections research (2 papers) and Antibiotic Use and Resistance (2 papers). The work is most often cited by research in Parasitology (98 citations), Modeling and Simulation (48 citations), Applied Microbiology and Biotechnology (18 citations), Molecular Medicine (37 citations) and Emergency Medical Services (22 citations). Stephen Mac has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Beate Sander, Raphael Ximenes, Yasín A. Khan, David Malcolm Joseph Naimark, Kali A Barrett, Matthew C. Tunis, Samir N. Patel, Jennie Johnstone, Joanna Bielecki and Tiffany Fitzpatrick. Their work appears in journals such as PLoS ONE, CMAJ Open, Molecular Cancer Therapeutics, Antimicrobial Resistance and Infection Control and Clinical Infectious 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.