Sharmin Shabnam
- Modeling and Simulation top 1%
- Economics and Econometrics top 5%
- Clinical Psychology top 10%
- Infectious Diseases top 10%
- Biomedical Engineering
- Co-authors
- Nazrul IslamBen LaceyJoseph M. MassaroGerardo ChowellAdri C. T. van DuinMartin WhiteIchiro KawachiStephen J. Sharp
- Topics
- Chronic Disease Management Strategies (5 papers)COVID-19 and healthcare impacts (5 papers)Advanced Combustion Engine Technologies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEDiabetes Care
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Sharmin Shabnam
23 papers receiving 878 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Modeling and Simulation 301
- Economics and Econometrics 189
- Clinical Psychology 169
- Infectious Diseases 116
- Biomedical Engineering 116
Countries citing papers authored by Sharmin Shabnam
This map shows the geographic impact of Sharmin Shabnam'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 Sharmin Shabnam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharmin Shabnam more than expected).
Fields of papers citing papers by Sharmin Shabnam
This network shows the impact of papers produced by Sharmin Shabnam. 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 Sharmin Shabnam. The network helps show where Sharmin Shabnam may publish in the future.
Co-authorship network of co-authors of Sharmin Shabnam
This figure shows the co-authorship network connecting the top 25 collaborators of Sharmin Shabnam. A scholar is included among the top collaborators of Sharmin Shabnam 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 Sharmin Shabnam. Sharmin Shabnam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 73 | |
| 16 | 28 | |
| 17 | 15 | |
| 18 | 87 | |
| 19 | Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countriesbreakdown → | 391 |
| 20 | 23 |
About Sharmin Shabnam
Sharmin Shabnam is a scholar working on Fluid Flow and Transfer Processes, Modeling and Simulation and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 894 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (5 papers), COVID-19 and healthcare impacts (5 papers) and Advanced Combustion Engine Technologies (4 papers). The work is most often cited by research in Modeling and Simulation (301 citations), Fluid Flow and Transfer Processes (85 citations) and Health (82 citations). Sharmin Shabnam has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Nazrul Islam, Ben Lacey, Joseph M. Massaro, Gerardo Chowell, Adri C. T. van Duin, Martin White, Ichiro Kawachi, Stephen J. Sharp, Ralph B. D’Agostino and Yuan Xuan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.
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.