S. C. Inyama

414 total citations
17 papers, 273 citations indexed

About

S. C. Inyama is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, S. C. Inyama has authored 17 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 7 papers in Modeling and Simulation and 6 papers in Infectious Diseases. Recurrent topics in S. C. Inyama's work include Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), COVID-19 epidemiological studies (5 papers) and Viral Infections and Vectors (4 papers). S. C. Inyama is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), COVID-19 epidemiological studies (5 papers) and Viral Infections and Vectors (4 papers). S. C. Inyama collaborates with scholars based in Nigeria, Pakistan and Tanzania. S. C. Inyama's co-authors include Andrew Omame, D. Okuonghae, Mamadou Lamine Diagne, Jean M. Tchuenche, Herieth Rwezaura, Chibueze P. Onyenegecha and Salman A. AlQahtani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Mathematical Modelling.

In The Last Decade

S. C. Inyama

17 papers receiving 266 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. C. Inyama Nigeria	9	181	168	58	45	25	17	273
Getachew Teshome Tilahun Ethiopia	9	223 1.2×	208 1.2×	66 1.1×	56 1.2×	15 0.6×	18	324
Hailay Weldegiorgis Berhe Ethiopia	12	213 1.2×	224 1.3×	75 1.3×	73 1.6×	6 0.2×	18	326
Shewafera Wondimagegnhu Teklu Ethiopia	15	377 2.1×	378 2.3×	83 1.4×	44 1.0×	11 0.4×	46	513
Chandra Nath Podder Bangladesh	6	219 1.2×	168 1.0×	74 1.3×	95 2.1×	5 0.2×	14	291
Agraj Tripathi India	11	388 2.1×	345 2.1×	53 0.9×	124 2.8×	8 0.3×	16	478
Faraimunashe Chirove South Africa	11	125 0.7×	150 0.9×	136 2.3×	36 0.8×	5 0.2×	39	313
Nizar Marcus South Africa	5	308 1.7×	210 1.3×	77 1.3×	117 2.6×	4 0.2×	8	413
Wieke Freudenburg-de Graaf Netherlands	8	99 0.5×	88 0.5×	61 1.1×	36 0.8×	44 1.8×	10	232
Mohammad A. Safi Jordan	14	381 2.1×	378 2.3×	99 1.7×	183 4.1×	12 0.5×	33	513
Senelani D. Hove‐Musekwa Zimbabwe	10	273 1.5×	216 1.3×	73 1.3×	89 2.0×	3 0.1×	32	395

Countries citing papers authored by S. C. Inyama

Since Specialization

Citations

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

Fields of papers citing papers by S. C. Inyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. C. Inyama. 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 S. C. Inyama. The network helps show where S. C. Inyama may publish in the future.

Co-authorship network of co-authors of S. C. Inyama

This figure shows the co-authorship network connecting the top 25 collaborators of S. C. Inyama. A scholar is included among the top collaborators of S. C. Inyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. C. Inyama. S. C. Inyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Omame, Andrew, et al.. (2024). A fractional-order model of COVID-19 and Malaria co-infection. 6 indexed citations

Omame, Andrew, et al.. (2023). A fractional order vaccination model for COVID-19 incorporating environmental transmission: a case study using Nigerian data. 32 indexed citations

Omame, Andrew, et al.. (2023). Analysis of a non-integer order mathematical model for double strains of dengue and COVID-19 co-circulation using an efficient finite-difference method. Scientific Reports. 13(1). 17787–17787. 5 indexed citations

Omame, Andrew, et al.. (2023). Analysis of Mathematical Model of Diabetes and Tuberculosis Co-infection. International Journal of Applied and Computational Mathematics. 9(3). 11 indexed citations

Omame, Andrew, Herieth Rwezaura, Mamadou Lamine Diagne, S. C. Inyama, & Jean M. Tchuenche. (2021). COVID-19 and dengue co-infection in Brazil: optimal control and cost-effectiveness analysis. The European Physical Journal Plus. 136(10). 1090–1090. 55 indexed citations

Omame, Andrew, et al.. (2021). Optimal Control and Cost-Effectiveness Analysis of an HPV–Chlamydia trachomatis Co-infection Model. Acta Biotheoretica. 69(3). 185–223. 26 indexed citations

Okuonghae, D., et al.. (2021). Modelling the dynamics of Zika in a population with two strains of the virus with optimal control and cost-effectiveness analysis. International Journal of Dynamics and Control. 10(3). 956–980. 5 indexed citations

Omame, Andrew, et al.. (2021). Mathematical analysis of a model for Chlamydia and Gonorrhea codynamics with optimal control. Results in Physics. 27. 104566–104566. 11 indexed citations

Omame, Andrew, et al.. (2021). A co-infection model for two-strain Malaria and Cholera with optimal control. International Journal of Dynamics and Control. 9(4). 1612–1632. 18 indexed citations

10.

Inyama, S. C., et al.. (2020). Mathematical Model, Optimal Control and Transmission Dynamics of Avian Spirochaetosis. Journal of Applied Mathematics and Physics. 8(2). 270–293. 1 indexed citations

11.

Inyama, S. C., et al.. (2019). Mathematical Model of the Transmission Dynamics of Dengue Fever in Two Categories with Vaccination and Migration Effect. SHILAP Revista de lepidopterología. 1 indexed citations

12.

Omame, Andrew, et al.. (2019). Analysis of a co-infection model for HPV-TB. Applied Mathematical Modelling. 77. 881–901. 45 indexed citations

13.

Inyama, S. C., et al.. (2018). A Stochastic Model of the Dynamics of Stock Price for Forecasting. Journal of Advances in Mathematics and Computer Science. 25(6). 1–24. 10 indexed citations

14.

Omame, Andrew, et al.. (2018). Mathematical analysis of a two-sex Human Papillomavirus (HPV) model. International Journal of Biomathematics. 11(7). 1850092–1850092. 32 indexed citations

15.

Omame, Andrew, et al.. (2015). ON THE EXISTENCE OF A STOCHASTIC MODEL OF TYPHOID FEVER. Journals & Books Hosting (International Knowledge Sharing Platform). 5(8). 104–113. 7 indexed citations

16.

Inyama, S. C., et al.. (2015). On the Optimization of Transportation Problem. British Journal of Mathematics & Computer Science. 13(4). 1–11. 4 indexed citations

17.

Inyama, S. C., et al.. (2012). Mathematical Model of the Role of Vaccination and Treatment on the Transmission Dynamics of Tuberculosis. 4 indexed citations

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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