Md. Samsuzzoha
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
Papers in
-
- COVID-19 epidemiological studies 5
- Fractional Differential Equations Solutions 1
- Mathematical Biology Tumor Growth 1
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- Mathematical and Theoretical Epidemiology and Ecology Models 6
- Co-authors
- David Lucy (5 shared papers)Manmohan Singh (1 shared paper)Manmohan Singh (4 shared papers)M. Ali Akbar (1 shared paper)Iqbal Hossain (1 shared paper)Shaikh Abdul Latif (1 shared paper)Md. Tahmidul Islam (1 shared paper)Amirul Islam (1 shared paper)
- Journals
- Applied Mathematics and Computation (3 papers)Applied Mathematical Modelling (2 papers)Bulletin of Environmental Contamination and Toxicology (1 paper)Journal of Applied Nonlinear Dynamics (1 paper)Results in Physics (1 paper)
- Partner nations
- AustraliaBangladesh
In The Last Decade
Md. Samsuzzoha
8 papers receiving 324 citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 200
- Statistical and Nonlinear Physics 96
- Public Health, Environmental and Occupational Health 162
- Genetics 57
- Infectious Diseases 31
Countries citing papers authored by Md. Samsuzzoha
This map shows the geographic impact of Md. Samsuzzoha'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 Md. Samsuzzoha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Samsuzzoha more than expected).
Fields of papers citing papers by Md. Samsuzzoha
This network shows the impact of papers produced by Md. Samsuzzoha. 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 Md. Samsuzzoha. The network helps show where Md. Samsuzzoha may publish in the future.
Co-authors
The 12 scholars most cited alongside Md. Samsuzzoha, 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 | 2012 | 121 | |
| 2 | 2017 | 88 | |
| 3 | 2013 | 36 | |
| 4 | 2012 | 36 | |
| 5 | 2010 | 24 | |
| 6 | 2011 | 19 | |
| 7 | 2010 | 4 | |
| 8 | 2023 | 2 |
About Md. Samsuzzoha
Md. Samsuzzoha is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, Epidemiology and Pollution, having authored 8 papers that have together received 330 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), COVID-19 epidemiological studies (5 papers), Evolution and Genetic Dynamics (3 papers), Influenza Virus Research Studies (2 papers), Nonlinear Photonic Systems (1 paper), Fractional Differential Equations Solutions (1 paper), Mathematical Biology Tumor Growth (1 paper) and Arsenic contamination and mitigation (1 paper). The work is most often cited by research in Modeling and Simulation (200 citations), Statistical and Nonlinear Physics (96 citations), Public Health, Environmental and Occupational Health (162 citations), Genetics (57 citations) and Infectious Diseases (31 citations). Md. Samsuzzoha has collaborated with scholars based in Australia and Bangladesh. Frequent co-authors include David Lucy, Manmohan Singh, Manmohan Singh, M. Ali Akbar, Iqbal Hossain, Shaikh Abdul Latif, Md. Tahmidul Islam, Amirul Islam, Md. Haider Ali Biswas and Md. Ashrafur Rahman. Their work appears in journals such as Applied Mathematics and Computation, Applied Mathematical Modelling, Bulletin of Environmental Contamination and Toxicology, Journal of Applied Nonlinear Dynamics and Results in Physics.
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.