Beenish Moalla Chaudhry
- Health top 5%
- General Health Professions top 10%
- Infectious Diseases
- Applied Psychology top 10%
- Sociology and Political Science
- Co-authors
- Saad Jawaid KhanNitesh V. ChawlaPrerna DuaColin G. WalshKenneth W. GoodmanBonnie J. KaplanRamakanth KavuluruVignesh Subbian
- Topics
- Mobile Health and mHealth Applications (16 papers)Digital Mental Health Interventions (10 papers)Technology Use by Older Adults (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessInternational Journal of Environmental Research and Public Health
- Partner nations
- United StatesBangladeshIndia
In The Last Decade
Beenish Moalla Chaudhry
36 papers receiving 465 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Health 117
- General Health Professions 104
- Infectious Diseases 89
- Applied Psychology 75
- Sociology and Political Science 69
Countries citing papers authored by Beenish Moalla Chaudhry
This map shows the geographic impact of Beenish Moalla Chaudhry'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 Beenish Moalla Chaudhry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beenish Moalla Chaudhry more than expected).
Fields of papers citing papers by Beenish Moalla Chaudhry
This network shows the impact of papers produced by Beenish Moalla Chaudhry. 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 Beenish Moalla Chaudhry. The network helps show where Beenish Moalla Chaudhry may publish in the future.
Co-authorship network of co-authors of Beenish Moalla Chaudhry
This figure shows the co-authorship network connecting the top 25 collaborators of Beenish Moalla Chaudhry. A scholar is included among the top collaborators of Beenish Moalla Chaudhry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beenish Moalla Chaudhry. Beenish Moalla Chaudhry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 35 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | Global COVID-19 Vaccine Acceptance: A Systematic Review of Associated Social and Behavioral Factorsbreakdown → | 121 |
| 10 | 1 | |
| 11 | 32 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 0 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 6 |
About Beenish Moalla Chaudhry
Beenish Moalla Chaudhry is a scholar working on Applied Psychology, Human-Computer Interaction and Demography, having authored 40 papers that have together received 478 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (16 papers), Digital Mental Health Interventions (10 papers) and Technology Use by Older Adults (9 papers). The work is most often cited by research in Health Informatics (47 citations), Applied Psychology (75 citations) and Health (117 citations). Beenish Moalla Chaudhry has collaborated with scholars based in United States, Bangladesh and India. Frequent co-authors include Saad Jawaid Khan, Nitesh V. Chawla, Prerna Dua, Colin G. Walsh, Kenneth W. Goodman, Bonnie J. Kaplan, Ramakanth Kavuluru, Vignesh Subbian, Anthony Solomonides and Ashraful Islam. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Environmental Research and Public 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.