Chalanda N. Evans
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- COVID-19 epidemiological studies 2
- Health 2
- Vaccine Coverage and Hesitancy 2
- Co-authors
- Mitesh S. Patel (12 shared papers)Dylan S. Small (9 shared papers)Charles A. L. Rareshide (6 shared papers)Ravi Bharat Parikh (4 shared papers)Susan Harkness Regli (4 shared papers)Lawrence N. Shulman (4 shared papers)Christopher R. Manz (4 shared papers)Nina R. O’Connor (4 shared papers)
- Journals
- JAMA Network Open (4 papers)Proceedings of the National Academy of Sciences (2 papers)Contemporary Clinical Trials (2 papers)JAMA Oncology (2 papers)Health Promotion Practice (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Chalanda N. Evans
16 papers receiving 750 citations
Chalanda N. Evans's Hit Papers
Peers
Comparison fields: 5 of 95
- Health Informatics 65
- Health 144
- Applied Psychology 68
- General Decision Sciences 18
- Modeling and Simulation 41
Countries citing papers authored by Chalanda N. Evans
This map shows the geographic impact of Chalanda N. Evans'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 Chalanda N. Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chalanda N. Evans more than expected).
Fields of papers citing papers by Chalanda N. Evans
This network shows the impact of papers produced by Chalanda N. Evans. 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 Chalanda N. Evans. The network helps show where Chalanda N. Evans may publish in the future.
Co-authors
The 25 scholars most cited alongside Chalanda N. Evans, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A megastudy of text-based nudges encouraging patients to get vaccinated at an upcoming doctor’s appointment Hit paper breakdown → | 2021 | 221 |
| 2 | 2020 | 133 | |
| 3 | A 680,000-person megastudy of nudges to encourage vaccination in pharmacies Hit paper breakdown → | 2022 | 110 |
| 4 | 2023 | 77 | |
| 5 | 2018 | 31 | |
| 6 | 2022 | 31 | |
| 7 | 2021 | 31 | |
| 8 | 2022 | 29 | |
| 9 | 2020 | 28 | |
| 10 | 2022 | 25 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2021 | 6 |
About Chalanda N. Evans
Chalanda N. Evans is a scholar working on Modeling and Simulation, Health, Cardiology and Cardiovascular Medicine, Health Informatics and Geriatrics and Gerontology, having authored 16 papers that have together received 771 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (2 papers), COVID-19 epidemiological studies (2 papers), Misinformation and Its Impacts (2 papers), Physical Activity and Health (2 papers), Heart Failure Treatment and Management (2 papers), COVID-19 and Mental Health (1 paper), Community Health and Development (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Health Informatics (65 citations), Health (144 citations), Applied Psychology (68 citations), General Decision Sciences (18 citations) and Modeling and Simulation (41 citations). Chalanda N. Evans has collaborated with scholars based in United States and Canada. Frequent co-authors include Mitesh S. Patel, Dylan S. Small, Charles A. L. Rareshide, Ravi Bharat Parikh, Susan Harkness Regli, Lawrence N. Shulman, Christopher R. Manz, Nina R. O’Connor, Lynn Mara Schuchter and Justin E. Bekelman. Their work appears in journals such as JAMA Network Open, Proceedings of the National Academy of Sciences, Contemporary Clinical Trials, JAMA Oncology and Health Promotion Practice.
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.