Obiora Cornelius Collins
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 17
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research 6
- Viral Infections and Vectors 6
- Endocrinology top 10%
- Vibrio bacteria research studies 8
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- Mathematical and Theoretical Epidemiology and Ecology Models 15
- Emergency Medical Services top 10%
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- Animal Disease Management and Epidemiology 4
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- Evolution and Genetic Dynamics 4
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- Vector-Borne Animal Diseases 3
- Co-authors
- Kevin J. DuffyK. S. GovinderOluwafemi E. IgeOludolapo Akanni OlanrewajuJ. MugishaSuzanne L. RobertsonStanley Chibuzor OnwubuPhumlane Selby Mdluli
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Theoretical Biology (1 paper)Ecological Modelling (1 paper)
- Partner nations
- South AfricaNigeriaUganda
In The Last Decade
Obiora Cornelius Collins
37 papers receiving 330 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 162
- Infectious Diseases 115
- Endocrinology 31
- Public Health, Environmental and Occupational Health 116
- Emergency Medical Services 28
Countries citing papers authored by Obiora Cornelius Collins
This map shows the geographic impact of Obiora Cornelius Collins'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 Obiora Cornelius Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Obiora Cornelius Collins more than expected).
Fields of papers citing papers by Obiora Cornelius Collins
This network shows the impact of papers produced by Obiora Cornelius Collins. 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 Obiora Cornelius Collins. The network helps show where Obiora Cornelius Collins may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Obiora Cornelius Collins, 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 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 24 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 6 | |
| 14 | 2018 | 9 | |
| 15 | 2017 | 7 | |
| 16 | 2016 | 1 | |
| 17 | 2016 | 17 | |
| 18 | 2016 | 3 | |
| 19 | 2015 | 11 | |
| 20 | 2014 | 25 |
About Obiora Cornelius Collins
Obiora Cornelius Collins is a scholar working on Modeling and Simulation, Endocrinology and Infectious Diseases, having authored 41 papers that have together received 339 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), Vibrio bacteria research studies (8 papers), Viral Infections and Outbreaks Research (6 papers), Viral Infections and Vectors (6 papers), Animal Disease Management and Epidemiology (4 papers), Evolution and Genetic Dynamics (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Modeling and Simulation (162 citations), Infectious Diseases (115 citations) and Endocrinology (31 citations). Obiora Cornelius Collins has collaborated with scholars based in South Africa, Nigeria and Uganda. Frequent co-authors include Kevin J. Duffy, K. S. Govinder, Oluwafemi E. Ige, Oludolapo Akanni Olanrewaju, J. Mugisha, Suzanne L. Robertson, Stanley Chibuzor Onwubu, Phumlane Selby Mdluli, Shenuka Singh and T.G. O’Connor. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Ecological Modelling.
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.