Baba Seidu
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 31
-
- COVID-19 epidemiological studies 27
- Co-authors
- Joshua Kiddy K. Asamoah (13 shared papers)Oluwole Daniel Makinde (9 shared papers)Francis T. Oduro (2 shared papers)Zhen Jin (3 shared papers)Eric Okyere (5 shared papers)Ebenezer Bonyah (1 shared paper)Gui‐Quan Sun (3 shared papers)Joseph Ackora-Prah (2 shared papers)
- Journals
- Chaos Solitons & Fractals (3 papers)Acta Biotheoretica (2 papers)Heliyon (2 papers)Abstract and Applied Analysis (1 paper)Journal of Applied Sciences (1 paper)
- Partner nations
- GhanaSouth AfricaChina
In The Last Decade
Baba Seidu
45 papers receiving 602 citations
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 395
- Public Health, Environmental and Occupational Health 381
- Infectious Diseases 183
- Virology 46
- Genetics 127
Countries citing papers authored by Baba Seidu
This map shows the geographic impact of Baba Seidu'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 Baba Seidu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baba Seidu more than expected).
Fields of papers citing papers by Baba Seidu
This network shows the impact of papers produced by Baba Seidu. 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 Baba Seidu. The network helps show where Baba Seidu may publish in the future.
Co-authors
The 17 scholars most cited alongside Baba Seidu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 108 | |
| 2 | 2017 | 71 | |
| 3 | 2018 | 48 | |
| 4 | 2014 | 46 | |
| 5 | 2020 | 40 | |
| 6 | 2023 | 29 | |
| 7 | 2023 | 29 | |
| 8 | 2015 | 26 | |
| 9 | 2022 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2010 | 15 | |
| 15 | 2022 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2020 | 7 |
About Baba Seidu
Baba Seidu is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases, Genetics and Epidemiology, having authored 48 papers that have together received 618 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), COVID-19 epidemiological studies (27 papers), Evolution and Genetic Dynamics (11 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Virology and Viral Diseases (4 papers), Adolescent Sexual and Reproductive Health (4 papers), Rabies epidemiology and control (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Modeling and Simulation (395 citations), Public Health, Environmental and Occupational Health (381 citations), Infectious Diseases (183 citations), Virology (46 citations) and Genetics (127 citations). Baba Seidu has collaborated with scholars based in Ghana, South Africa and China. Frequent co-authors include Joshua Kiddy K. Asamoah, Oluwole Daniel Makinde, Francis T. Oduro, Zhen Jin, Eric Okyere, Ebenezer Bonyah, Gui‐Quan Sun, Joseph Ackora-Prah, Stephen E. Moore and Ernest Yankson. Their work appears in journals such as Chaos Solitons & Fractals, Acta Biotheoretica, Heliyon, Abstract and Applied Analysis and Journal of Applied Sciences.
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.