Stephen E. Moore

1.0k total citations · 1 hit paper
36 papers, 645 citations indexed

About

Stephen E. Moore is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Water Science and Technology. According to data from OpenAlex, Stephen E. Moore has authored 36 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Modeling and Simulation, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Water Science and Technology. Recurrent topics in Stephen E. Moore's work include Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Fractional Differential Equations Solutions (6 papers) and COVID-19 epidemiological studies (6 papers). Stephen E. Moore is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (8 papers), Fractional Differential Equations Solutions (6 papers) and COVID-19 epidemiological studies (6 papers). Stephen E. Moore collaborates with scholars based in Ghana, United States and Kenya. Stephen E. Moore's co-authors include Eric Okyere, Ulrich Langer, Zhen Jin, Joshua Kiddy K. Asamoah, Afeez Abidemi, Gui‐Quan Sun, Edward Acheampong, Martin Neumüller, John S. Schwartz and Matt A. Kulp and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Stephen E. Moore

31 papers receiving 604 citations

Hit Papers

Optimal control and comprehensive cost-effectiveness anal... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen E. Moore Ghana 13 270 207 130 113 79 36 645
Vrushali A. Bokil United States 14 33 0.1× 65 0.3× 117 0.9× 15 0.1× 208 2.6× 46 816
Damiano Pasetto Italy 17 221 0.8× 66 0.3× 29 0.2× 70 0.6× 8 0.1× 32 659
Jufang Chen China 12 154 0.6× 260 1.3× 7 0.1× 27 0.2× 176 2.2× 53 912
Dongmei Yang China 20 60 0.2× 58 0.3× 39 0.3× 30 0.3× 8 0.1× 97 1.3k
Hristo V. Kojouharov United States 18 452 1.7× 460 2.2× 42 0.3× 33 0.3× 13 0.2× 64 897
Ascensión Hernández Encinas Spain 14 46 0.2× 47 0.2× 9 0.1× 18 0.2× 8 0.1× 42 914
Eunice Mureithi Tanzania 12 85 0.3× 69 0.3× 152 1.2× 39 0.3× 9 0.1× 44 437
Robert T. Jones United States 17 16 0.1× 180 0.9× 240 1.8× 71 0.6× 4 0.1× 94 1.3k
Md. Haider Ali Biswas Bangladesh 13 271 1.0× 232 1.1× 13 0.1× 115 1.0× 2 0.0× 78 632

Countries citing papers authored by Stephen E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Moore. 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 Stephen E. Moore. The network helps show where Stephen E. Moore may publish in the future.

Co-authorship network of co-authors of Stephen E. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen E. Moore. A scholar is included among the top collaborators of Stephen E. Moore 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 Stephen E. Moore. Stephen E. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Moore, Stephen E., et al.. (2025). Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling. Results in Engineering. 25. 104079–104079. 8 indexed citations
2.
Adu, Michael O., Peter Bilson Obour, Francis Kumi, et al.. (2025). Soil reinforcement potential of multifunctional crop plants on arable and non-arable tropical soils. Geoderma. 461. 117470–117470.
3.
Moore, Stephen E., et al.. (2025). Mathematical modelling and analysis of stochastic malaria and COVID-19 co-infection model. SHILAP Revista de lepidopterología. 33(1).
4.
Moore, Stephen E., et al.. (2025). Lévy-induced stochastic differential equation models in rainfall–runoff systems for assessing extreme hydrological event risks. Stochastic Environmental Research and Risk Assessment. 39(4). 1537–1554. 1 indexed citations
5.
Lenhart, Suzanne, et al.. (2025). Optimal control of species augmentation in a competition model. Mathematical Biosciences. 381. 109394–109394. 1 indexed citations
7.
Moore, Stephen E., et al.. (2024). A nonlinear fractional fishery resource system model with Crowley–Martin functional response under Mittag-Leffler kernel. Results in Control and Optimization. 16. 100461–100461. 8 indexed citations
8.
Gathungu, Duncan Kioi, et al.. (2024). Transmission Dynamics of Monkeypox Virus With Age‐Structured Human Population: A Mathematical Modeling Approach. Journal of Applied Mathematics. 2024(1). 5 indexed citations
9.
Moore, Stephen E., et al.. (2024). Fractional Derivative Technique for Modeling the Dynamics of Social Media Impacts. Discrete Dynamics in Nature and Society. 2024(1). 6 indexed citations
10.
Moore, Stephen E., et al.. (2024). Mathematical modeling and optimal control analysis of Monkeypox virus in contaminated environment. Modeling Earth Systems and Environment. 10(3). 3969–3994. 14 indexed citations
11.
Kumi, Francis, Peter Bilson Obour, Emmanuel Arthur, et al.. (2023). Quantifying root-induced soil strength, measured as soil penetration resistance, from different crop plants and soil types. Soil and Tillage Research. 233. 105811–105811. 12 indexed citations
12.
Moore, Stephen E., et al.. (2023). Curtailing crime dynamics: A mathematical approach. Frontiers in Applied Mathematics and Statistics. 8. 8 indexed citations
13.
Okyere, Eric, et al.. (2023). Stability Analysis of Caputo Fractional Order Viral Dynamics of Hepatitis B Cellular Infection. Mathematical and Computational Applications. 28(1). 24–24. 3 indexed citations
14.
Asamoah, Joshua Kiddy K., Eric Okyere, Afeez Abidemi, et al.. (2022). Optimal control and comprehensive cost-effectiveness analysis for COVID-19. Results in Physics. 33. 105177–105177. 141 indexed citations breakdown →
15.
Asamoah, Joshua Kiddy K., Zhen Jin, Gui‐Quan Sun, et al.. (2021). Sensitivity assessment and optimal economic evaluation of a new COVID-19 compartmental epidemic model with control interventions. Chaos Solitons & Fractals. 146. 110885–110885. 107 indexed citations
16.
Okyere, Eric, et al.. (2021). Caputo fractional-order SEIRP model for COVID-19 Pandemic. Alexandria Engineering Journal. 61(1). 829–845. 39 indexed citations
17.
Moore, Stephen E.. (2018). Discontinuous Galerkin Isogeometric Analysis for the biharmonic equation. Computers & Mathematics with Applications. 76(4). 673–685. 12 indexed citations
18.
Langer, Ulrich, et al.. (2015). Mesh grading in isogeometric analysis. Computers & Mathematics with Applications. 70(7). 1685–1700. 8 indexed citations
19.
Jüttler, Bert, Ulrich Langer, Angelos Mantzaflaris, Stephen E. Moore, & Walter Zulehner. (2014). Geometry + Simulation Modules: Implementing Isogeometric Analysis. PAMM. 14(1). 961–962. 62 indexed citations
20.
Robinson, R. Bruce, et al.. (2006). Impact of Tunnel Reconstruction on Stream Water Quality in Great Smoky Mountains National Park. Journal of Hydrologic Engineering. 11(6). 570–577. 1 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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