Md. Kaisar Rahman
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 7
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 6
- Infectious Diseases top 10%
- Viral Infections and Vectors 10
- Viral gastroenteritis research and epidemiology 6
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- Antibiotic Resistance in Bacteria 9
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- Agricultural Science and Fertilization 9
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- Salmonella and Campylobacter epidemiology 7
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- Pharmaceutical and Antibiotic Environmental Impacts 7
- Co-authors
- Ariful IslamMohammad Mahmudul HassanJinnat FerdousShariful IslamMd. Abu SayeedShahanaj ShanoOtun SahaTahmina Shirin
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (3 papers)Sensors (1 paper)
- Partner nations
- BangladeshUnited StatesAustralia
In The Last Decade
Md. Kaisar Rahman
75 papers receiving 490 citations
Peers
Comparison fields: 5 of 101
- Modeling and Simulation 70
- Agronomy and Crop Science 116
- Applied Microbiology and Biotechnology 23
- Infectious Diseases 176
- Molecular Medicine 31
Countries citing papers authored by Md. Kaisar Rahman
This map shows the geographic impact of Md. Kaisar Rahman'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. Kaisar Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Kaisar Rahman more than expected).
Fields of papers citing papers by Md. Kaisar Rahman
This network shows the impact of papers produced by Md. Kaisar Rahman. 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. Kaisar Rahman. The network helps show where Md. Kaisar Rahman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Md. Kaisar Rahman, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 15 | |
| 18 | 2020 | 6 | |
| 19 | 2019 | 16 | |
| 20 | 2008 | 2 |
About Md. Kaisar Rahman
Md. Kaisar Rahman is a scholar working on Molecular Medicine, Modeling and Simulation and Agronomy and Crop Science, having authored 90 papers that have together received 503 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Antibiotic Resistance in Bacteria (9 papers), Agricultural Science and Fertilization (9 papers), Salmonella and Campylobacter epidemiology (7 papers), COVID-19 epidemiological studies (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and Animal Disease Management and Epidemiology (6 papers). The work is most often cited by research in Modeling and Simulation (70 citations), Agronomy and Crop Science (116 citations) and Applied Microbiology and Biotechnology (23 citations). Md. Kaisar Rahman has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Ariful Islam, Mohammad Mahmudul Hassan, Jinnat Ferdous, Shariful Islam, Md. Abu Sayeed, Shahanaj Shano, Otun Saha, Tahmina Shirin, Mohamed E. El Zowalaty and Babafela Awosile. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.
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.