Samson Olaniyi

1.1k citations
44 papers · 841 · h-index 19

Impact in

Papers in

Samson Olaniyi

43 papers receiving 828 citations

Peers

Samson Olaniyi
Comparison fields: 5 of 61
  • Modeling and Simulation 515
  • Public Health, Environmental and Occupational Health 603
  • Infectious Diseases 226
  • Virology 43
  • Genetics 207
Replace Oluwaseun Sharomi with:
Oluwaseun Sharomi United States
Eric Okyere Ghana
Baba Seidu Ghana
Elsa Schaefer United States
Edward A. Wenger United States
Festus Abiodun Oguntolu Nigeria
Christinah Chiyaka Zimbabwe
Mayowa M. Ojo South Africa
Mini Ghosh India
Livingstone S. Luboobi Uganda
Samson Olaniyi relative to Oluwaseun Sharomi United States Oluwaseun Sharomi's profile →
Citations per field
00.5×2.5×
Oluwaseun Sharomi · 1×
Citations per year

Countries citing papers authored by Samson Olaniyi

Since Specialization
Citations

This map shows the geographic impact of Samson Olaniyi'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 Samson Olaniyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samson Olaniyi more than expected).

Fields of papers citing papers by Samson Olaniyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samson Olaniyi. 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 Samson Olaniyi. The network helps show where Samson Olaniyi may publish in the future.

Co-authors

The 10 scholars most cited alongside Samson Olaniyi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samson Olaniyi Line = papers co-authored together Samson Olaniyi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 202064
3 202053
4 201949
5 201346
6 202037
7 201835
8 202031
9 202231
10 202230
11 202226
12 201425
13 202125
14 202324
15 202323
16 202023
17 201822
18 202221
19 202220
20 202317

About Samson Olaniyi

Samson Olaniyi is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Genetics, Infectious Diseases and Sociology and Political Science, having authored 44 papers that have together received 841 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), COVID-19 epidemiological studies (20 papers), Evolution and Genetic Dynamics (15 papers), Fractional Differential Equations Solutions (10 papers), Malaria Research and Control (6 papers), Viral Infections and Vectors (5 papers), Mosquito-borne diseases and control (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Modeling and Simulation (515 citations), Public Health, Environmental and Occupational Health (603 citations), Infectious Diseases (226 citations), Virology (43 citations) and Genetics (207 citations). Samson Olaniyi has collaborated with scholars based in Nigeria, United States and South Africa. Frequent co-authors include Kazeem O. Okosun, Olusegun Adebayo Ajala, Samuel O. Adesanya, Ramoshweu Solomon Lebelo, Mini Ghosh, Afeez Abidemi, Ebenezer Bonyah, Eric Okyere, Muhammad Faisal Javed and Liang Qin. Their work appears in journals such as Modeling Earth Systems and Environment, Scientific African, Quality & Quantity, Complexity and PLoS ONE.

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.

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