Ayman Chit
Impact in
- Health top 1%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 57
- Influenza Virus Research Studies 48
- Respiratory viral infections research 26
- Pneumonia and Respiratory Infections 13
- Health 29
- Vaccine Coverage and Hesitancy 25
- Co-authors
- Edward W. Thommes (22 shared papers)Robertus van Aalst (29 shared papers)Jason K. H. Lee (14 shared papers)David P. Greenberg (6 shared papers)Andrea C. Tricco (3 shared papers)Salaheddin M. Mahmud (19 shared papers)Charlene Soobiah (3 shared papers)Genevieve Meier (4 shared papers)
- Journals
- Vaccine (14 papers)PLoS ONE (8 papers)Expert Review of Vaccines (6 papers)Open Forum Infectious Diseases (5 papers)Value in Health (4 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Ayman Chit
82 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 120
- Health 545
- Modeling and Simulation 263
- Epidemiology 1.4k
- Infectious Diseases 604
- Critical Care and Intensive Care Medicine 78
Countries citing papers authored by Ayman Chit
This map shows the geographic impact of Ayman Chit'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 Ayman Chit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayman Chit more than expected).
Fields of papers citing papers by Ayman Chit
This network shows the impact of papers produced by Ayman Chit. 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 Ayman Chit. The network helps show where Ayman Chit may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayman Chit, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 306 | |
| 2 | 2016 | 220 | |
| 3 | 2018 | 108 | |
| 4 | 2021 | 76 | |
| 5 | 2014 | 58 | |
| 6 | 2021 | 57 | |
| 7 | 2020 | 54 | |
| 8 | 2018 | 48 | |
| 9 | 2016 | 47 | |
| 10 | 2014 | 45 | |
| 11 | 2019 | 44 | |
| 12 | 2019 | 42 | |
| 13 | 2020 | 42 | |
| 14 | 2017 | 38 | |
| 15 | 2015 | 37 | |
| 16 | 2018 | 35 | |
| 17 | 2015 | 35 | |
| 18 | 2015 | 34 | |
| 19 | 2020 | 32 | |
| 20 | 2016 | 28 |
About Ayman Chit
Ayman Chit is a scholar working on Epidemiology, Health, Infectious Diseases, Modeling and Simulation and General Health Professions, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (48 papers), Respiratory viral infections research (26 papers), Vaccine Coverage and Hesitancy (25 papers), COVID-19 epidemiological studies (15 papers), Pneumonia and Respiratory Infections (13 papers), Geriatric Care and Nursing Homes (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). The work is most often cited by research in Health (545 citations), Modeling and Simulation (263 citations), Epidemiology (1.4k citations), Infectious Diseases (604 citations) and Critical Care and Intensive Care Medicine (78 citations). Ayman Chit has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Edward W. Thommes, Robertus van Aalst, Jason K. H. Lee, David P. Greenberg, Andrea C. Tricco, Salaheddin M. Mahmud, Charlene Soobiah, Genevieve Meier, Chris T. Bauch and Evelyn Balsells. Their work appears in journals such as Vaccine, PLoS ONE, Expert Review of Vaccines, Open Forum Infectious Diseases and Value in Health.
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.