Muhammad Mainuddin Patwary
- Health top 5%
- Infectious Diseases top 10%
- Sociology and Political Science top 10%
- Economics and Econometrics top 10%
- Clinical Psychology top 10%
- Co-authors
- Md. Riad HossainMatthew H.E.M. BrowningMondira BardhanMd Ashraful AlamMd. Zahidul HaqueRabeya SultanaAsma Safia DishaMd Pervez Kabir
- Topics
- COVID-19 Pandemic Impacts (12 papers)COVID-19 and Mental Health (9 papers)COVID-19 epidemiological studies (9 papers)
- Partner nations
- BangladeshUnited StatesJapan
In The Last Decade
Muhammad Mainuddin Patwary
43 papers receiving 623 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Health 221
- Infectious Diseases 149
- Sociology and Political Science 127
- Economics and Econometrics 121
- Clinical Psychology 120
Countries citing papers authored by Muhammad Mainuddin Patwary
This map shows the geographic impact of Muhammad Mainuddin Patwary'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 Muhammad Mainuddin Patwary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Mainuddin Patwary more than expected).
Fields of papers citing papers by Muhammad Mainuddin Patwary
This network shows the impact of papers produced by Muhammad Mainuddin Patwary. 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 Muhammad Mainuddin Patwary. The network helps show where Muhammad Mainuddin Patwary may publish in the future.
Co-authorship network of co-authors of Muhammad Mainuddin Patwary
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Mainuddin Patwary. A scholar is included among the top collaborators of Muhammad Mainuddin Patwary 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 Muhammad Mainuddin Patwary. Muhammad Mainuddin Patwary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | COVID-19 Vaccine Acceptance among Low- and Lower-Middle-Income Countries: A Rapid Systematic Review and Meta-Analysisbreakdown → | 104 |
| 13 | 23 | |
| 14 | 16 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 87 | |
| 19 | 16 | |
| 20 | 10 |
About Muhammad Mainuddin Patwary
Muhammad Mainuddin Patwary is a scholar working on Modeling and Simulation, Health and Health, Toxicology and Mutagenesis, having authored 45 papers that have together received 636 indexed citations. Recurring topics across this work include COVID-19 Pandemic Impacts (12 papers), COVID-19 and Mental Health (9 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Health (221 citations), Modeling and Simulation (106 citations) and Infectious Diseases (149 citations). Muhammad Mainuddin Patwary has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Md. Riad Hossain, Matthew H.E.M. Browning, Mondira Bardhan, Md Ashraful Alam, Md. Zahidul Haque, Rabeya Sultana, Asma Safia Disha, Md Pervez Kabir, Russell Kabir and Pankaj Sharma. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Environmental Pollution.
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.