Abdullahi Ibrahim
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- COVID-19 epidemiological studies 6
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- Mathematical and Theoretical Epidemiology and Ecology Models 4
- Co-authors
- Abideen Ganiyu (1 shared paper)Festus Abiodun Oguntolu (3 shared papers)Olumuyiwa James Peter (3 shared papers)Kayode Oshinubi (2 shared papers)Caterina De Bacco (4 shared papers)Adesoye Idowu Abioye (1 shared paper)Ilyas Khan (1 shared paper)Hammed Abiodun Ogunseye (1 shared paper)
In The Last Decade
Abdullahi Ibrahim
21 papers receiving 306 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 92
- Public Health, Environmental and Occupational Health 78
- Infectious Diseases 48
- Transportation 15
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by Abdullahi Ibrahim
This map shows the geographic impact of Abdullahi Ibrahim'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 Abdullahi Ibrahim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullahi Ibrahim more than expected).
Fields of papers citing papers by Abdullahi Ibrahim
This network shows the impact of papers produced by Abdullahi Ibrahim. 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 Abdullahi Ibrahim. The network helps show where Abdullahi Ibrahim may publish in the future.
Co-authors
The 11 scholars most cited alongside Abdullahi Ibrahim, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 125 | |
| 2 | 2021 | 65 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 18 | |
| 5 | 2022 | 17 | |
| 6 | 2019 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2019 | 4 | |
| 13 | Influence of Periodic Administration of Garlic Extract on Blood Parameters of Grazing Lambs | 2014 | 4 |
| 14 | 2020 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Abdullahi Ibrahim
Abdullahi Ibrahim is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics, Infectious Diseases and Computer Networks and Communications, having authored 23 papers that have together received 318 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Vehicle Routing Optimization Methods (2 papers), Differential Equations and Boundary Problems (2 papers), Analytic and geometric function theory (2 papers), COVID-19 Pandemic Impacts (2 papers), Complex Network Analysis Techniques (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Modeling and Simulation (92 citations), Public Health, Environmental and Occupational Health (78 citations), Infectious Diseases (48 citations), Transportation (15 citations) and Industrial and Manufacturing Engineering (20 citations). Abdullahi Ibrahim has collaborated with scholars based in Nigeria, Germany and Algeria. Frequent co-authors include Abideen Ganiyu, Festus Abiodun Oguntolu, Olumuyiwa James Peter, Kayode Oshinubi, Caterina De Bacco, Adesoye Idowu Abioye, Ilyas Khan, Hammed Abiodun Ogunseye, Timilehin Gideon Shaba and Sunday Emmanuel Fadugba. Their work appears in journals such as Scientific Reports, Physical Review Letters, Physical review. E, Results in Physics and Algorithms.
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.