Rachidi B. Salako
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth 17
- COVID-19 epidemiological studies 13
-
- Mathematical and Theoretical Epidemiology and Ecology Models 38
- Genetics top 10%
- Evolution and Genetic Dynamics 30
-
- Stochastic processes and statistical mechanics 3
-
- Gene Regulatory Network Analysis 4
-
- Evolutionary Game Theory and Cooperation 4
-
- Opinion Dynamics and Social Influence 3
- Co-authors
- Wenxian ShenYuan LouPengfei SongYixiang WuQiliang WuKing‐Yeung LamRobert Stephen CantrellChris Cosner
- Journals
- Journal of Differential Equations (9 papers)Journal of Mathematical Biology (6 papers)Journal of Dynamics and Differential Equations (4 papers)
- Partner nations
- United StatesChinaBenin
In The Last Decade
Rachidi B. Salako
38 papers receiving 398 citations
Peers
Comparison fields: 5 of 38
- Modeling and Simulation 365
- Public Health, Environmental and Occupational Health 286
- Genetics 189
- Mathematical Physics 21
- Cell Biology 34
Countries citing papers authored by Rachidi B. Salako
This map shows the geographic impact of Rachidi B. Salako'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 Rachidi B. Salako with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachidi B. Salako more than expected).
Fields of papers citing papers by Rachidi B. Salako
This network shows the impact of papers produced by Rachidi B. Salako. 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 Rachidi B. Salako. The network helps show where Rachidi B. Salako may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Rachidi B. Salako, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 19 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 22 | |
| 19 | 2018 | 10 | |
| 20 | 2017 | 58 |
About Rachidi B. Salako
Rachidi B. Salako is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 41 papers that have together received 410 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Evolution and Genetic Dynamics (30 papers), Mathematical Biology Tumor Growth (17 papers), COVID-19 epidemiological studies (13 papers), Gene Regulatory Network Analysis (4 papers), Evolutionary Game Theory and Cooperation (4 papers), Stochastic processes and statistical mechanics (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Modeling and Simulation (365 citations), Public Health, Environmental and Occupational Health (286 citations), Genetics (189 citations), Mathematical Physics (21 citations) and Cell Biology (34 citations). Rachidi B. Salako has collaborated with scholars based in United States, China and Benin. Frequent co-authors include Wenxian Shen, Yuan Lou, Pengfei Song, Yixiang Wu, Qiliang Wu, King‐Yeung Lam, Robert Stephen Cantrell, Chris Cosner, Rui Peng and Shuwen Xue. Their work appears in journals such as Journal of Differential Equations, Journal of Mathematical Biology, Journal of Dynamics and Differential Equations, Studies in Applied Mathematics and Discrete and Continuous Dynamical Systems - B.
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.