Majid Bani-Yaghoub
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 5
- Mathematical Biology Tumor Growth 3
- Endocrinology top 10%
- Escherichia coli research studies 3
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- Mathematical and Theoretical Epidemiology and Ecology Models 9
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- Animal Disease Management and Epidemiology 4
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- Evolution and Genetic Dynamics 6
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- Nonlinear Dynamics and Pattern Formation 4
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- Data-Driven Disease Surveillance 3
- Co-authors
- Renata IvanekRaju GautamP. van den DriesscheZhisheng ShuaiCharles W. KasparDörte DöpferGuangming YaoRoshani Gautam
- Journals
- PLoS ONE (2 papers)International Journal of Environmental Research and Public Health (1 paper)BMC Medical Research Methodology (1 paper)
- Partner nations
- United StatesCanadaSaudi Arabia
In The Last Decade
Majid Bani-Yaghoub
30 papers receiving 322 citations
Peers
Comparison fields: 5 of 83
- Modeling and Simulation 116
- Endocrinology 52
- Public Health, Environmental and Occupational Health 140
- Infectious Diseases 73
- Agronomy and Crop Science 40
Countries citing papers authored by Majid Bani-Yaghoub
This map shows the geographic impact of Majid Bani-Yaghoub'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 Majid Bani-Yaghoub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majid Bani-Yaghoub more than expected).
Fields of papers citing papers by Majid Bani-Yaghoub
This network shows the impact of papers produced by Majid Bani-Yaghoub. 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 Majid Bani-Yaghoub. The network helps show where Majid Bani-Yaghoub may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Majid Bani-Yaghoub, 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 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 12 | |
| 11 | 2018 | 5 | |
| 12 | 2018 | 2 | |
| 13 | 2015 | 9 | |
| 14 | 2012 | 22 | |
| 15 | 2012 | 111 | |
| 16 | 2011 | 37 | |
| 17 | 2011 | 17 | |
| 18 | 2010 | 4 | |
| 19 | 2009 | 2 | |
| 20 | 2008 | 5 |
About Majid Bani-Yaghoub
Majid Bani-Yaghoub is a scholar working on Modeling and Simulation, Theoretical Computer Science and Endocrinology, having authored 38 papers that have together received 332 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Evolution and Genetic Dynamics (6 papers), COVID-19 epidemiological studies (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Animal Disease Management and Epidemiology (4 papers), Escherichia coli research studies (3 papers), Data-Driven Disease Surveillance (3 papers) and Mathematical Biology Tumor Growth (3 papers). The work is most often cited by research in Modeling and Simulation (116 citations), Endocrinology (52 citations) and Public Health, Environmental and Occupational Health (140 citations). Majid Bani-Yaghoub has collaborated with scholars based in United States, Canada and Saudi Arabia. Frequent co-authors include Renata Ivanek, Raju Gautam, P. van den Driessche, Zhisheng Shuai, Charles W. Kaspar, Dörte Döpfer, Guangming Yao, Roshani Gautam, William H. Neill and Masami Fujiwara. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health and BMC Medical Research Methodology.
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.