Umar Tasiu Mustapha
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases
- Applied Mathematics top 10%
- Economics and Econometrics
- Co-authors
- Abdullahi YusufSalihu S. MusaSania QureshiDaihai HeShi ZhaoBahar AcayDumitru BǎleanuEvren Hınçal
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (14 papers)COVID-19 epidemiological studies (11 papers)Fractional Differential Equations Solutions (6 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthNumerical Analysis
- Journals
- SHILAP Revista de lepidopterologíaPhysica A Statistical Mechanics and its ApplicationsChaos Solitons & Fractals
In The Last Decade
Umar Tasiu Mustapha
22 papers receiving 447 citations
Peers
Comparison fields: 5 of 80
- Modeling and Simulation 355
- Public Health, Environmental and Occupational Health 208
- Infectious Diseases 113
- Applied Mathematics 49
- Economics and Econometrics 46
Countries citing papers authored by Umar Tasiu Mustapha
This map shows the geographic impact of Umar Tasiu Mustapha'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 Umar Tasiu Mustapha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umar Tasiu Mustapha more than expected).
Fields of papers citing papers by Umar Tasiu Mustapha
This network shows the impact of papers produced by Umar Tasiu Mustapha. 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 Umar Tasiu Mustapha. The network helps show where Umar Tasiu Mustapha may publish in the future.
Co-authorship network of co-authors of Umar Tasiu Mustapha
This figure shows the co-authorship network connecting the top 25 collaborators of Umar Tasiu Mustapha. A scholar is included among the top collaborators of Umar Tasiu Mustapha 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 Umar Tasiu Mustapha. Umar Tasiu Mustapha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 21 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 115 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 67 | |
| 17 | 79 | |
| 18 | 33 | |
| 19 | 10 | |
| 20 | 15 |
About Umar Tasiu Mustapha
Umar Tasiu Mustapha is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 23 papers that have together received 462 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), COVID-19 epidemiological studies (11 papers) and Fractional Differential Equations Solutions (6 papers). The work is most often cited by research in Modeling and Simulation (355 citations), Public Health, Environmental and Occupational Health (208 citations) and Numerical Analysis (38 citations). Umar Tasiu Mustapha has collaborated with scholars based in Cyprus, Türkiye and Nigeria. Frequent co-authors include Abdullahi Yusuf, Salihu S. Musa, Sania Qureshi, Daihai He, Shi Zhao, Bahar Acay, Dumitru Bǎleanu, Evren Hınçal, Tukur Abdulkadir Sulaıman and Maggie Haitian Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.
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.