Joseph Ackora-Prah
- Modeling and Simulation top 2%
- Public Health, Environmental and Occupational Health
- Infectious Diseases
- Plant Science
- Virology top 10%
- Co-authors
- Joshua Kiddy K. AsamoahEmmanuel AddaiBaba SeiduLingling ZhangEric OkyereAfeez AbidemiYarhands Dissou ArthurSamuel Asante Gyamerah
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (9 papers)Fractional Differential Equations Solutions (5 papers)COVID-19 epidemiological studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica A Statistical Mechanics and its ApplicationsHeliyon
- Partner nations
- GhanaUnited StatesChina
In The Last Decade
Joseph Ackora-Prah
29 papers receiving 286 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 165
- Public Health, Environmental and Occupational Health 135
- Infectious Diseases 53
- Plant Science 46
- Virology 43
Countries citing papers authored by Joseph Ackora-Prah
This map shows the geographic impact of Joseph Ackora-Prah'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 Joseph Ackora-Prah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Ackora-Prah more than expected).
Fields of papers citing papers by Joseph Ackora-Prah
This network shows the impact of papers produced by Joseph Ackora-Prah. 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 Joseph Ackora-Prah. The network helps show where Joseph Ackora-Prah may publish in the future.
Co-authorship network of co-authors of Joseph Ackora-Prah
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Ackora-Prah. A scholar is included among the top collaborators of Joseph Ackora-Prah 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 Joseph Ackora-Prah. Joseph Ackora-Prah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 36 | |
| 8 | 18 | |
| 9 | 52 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | Hepatitis B Optimal Control Model with Vertical Transmission | 15 |
| 16 | Convex Regularization Method for Solving Cauchy Problem of the Helmholtz Equation | 1 |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 1 |
About Joseph Ackora-Prah
Joseph Ackora-Prah is a scholar working on Modeling and Simulation, Management Science and Operations Research and Numerical Analysis, having authored 35 papers that have together received 304 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Fractional Differential Equations Solutions (5 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (165 citations), Virology (43 citations) and Public Health, Environmental and Occupational Health (135 citations). Joseph Ackora-Prah has collaborated with scholars based in Ghana, United States and China. Frequent co-authors include Joshua Kiddy K. Asamoah, Emmanuel Addai, Baba Seidu, Lingling Zhang, Eric Okyere, Afeez Abidemi, Yarhands Dissou Arthur, Samuel Asante Gyamerah, Francis T. Oduro and Ebenezer Bonyah. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and Heliyon.
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.