Stella Mugisha

402 citations
13 papers · 344 · h-index 6

Impact in

    • Fractional Differential Equations Solutions
    • COVID-19 epidemiological studies
    • Differential Equations and Numerical Methods
    • Iterative Methods for Nonlinear Equations
    • Numerical methods for differential equations

Papers in

Stella Mugisha

13 papers receiving 336 citations

Peers

Stella Mugisha
Comparison fields: 5 of 54
  • Modeling and Simulation 274
  • Numerical Analysis 96
  • Applied Mathematics 68
  • Statistical and Nonlinear Physics 68
  • Public Health, Environmental and Occupational Health 128
Replace Manal Alqhtani with:
Manal Alqhtani Saudi Arabia
Suares Clovis Oukouomi Noutchie South Africa
R.P. Chauhan India
Haseena Gulzar Pakistan
Maolin Du China
Zain Ul Abadin Zafar Pakistan
Saeed Ahmad Pakistan
Sanjay Bhatter India
Bahar Acay Türkiye
Stella Mugisha relative to Manal Alqhtani Saudi Arabia Manal Alqhtani's profile →
Citations per field
00.5×3.7×
Manal Alqhtani · 1×
Citations per year

Countries citing papers authored by Stella Mugisha

Since Specialization
Citations

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

Fields of papers citing papers by Stella Mugisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Stella Mugisha, 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 Stella Mugisha Line = papers co-authored together Stella Mugisha links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019194
2 202156
3 201435
4 201619
5 202011
6 201811
7 20244
8 20154
9 20143
10 20143
11
Analysis of the performance of first year students in calculus
20142
12 20241
13 20151

About Stella Mugisha

Stella Mugisha is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Numerical Analysis, Applied Mathematics and Infectious Diseases, having authored 13 papers that have together received 344 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Fractional Differential Equations Solutions (6 papers), COVID-19 epidemiological studies (4 papers), Differential Equations and Numerical Methods (3 papers), Nonlinear Differential Equations Analysis (3 papers), Nonlinear Photonic Systems (1 paper), Nonlinear Waves and Solitons (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Modeling and Simulation (274 citations), Numerical Analysis (96 citations), Applied Mathematics (68 citations), Statistical and Nonlinear Physics (68 citations) and Public Health, Environmental and Occupational Health (128 citations). Stella Mugisha has collaborated with scholars based in South Africa, Ethiopia and China. Frequent co-authors include Emile Franc Doungmo Goufo, Sunil Kumar, Suares Clovis Oukouomi Noutchie and Yasir Khan. Their work appears in journals such as Advances in Difference Equations, Chaos Solitons & Fractals, International journal of engineering education, PLoS ONE and The Journal of Nonlinear Sciences and Applications.

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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