Tapiwa Ganyani

1.0k total citations
7 papers, 425 citations indexed

About

Tapiwa Ganyani is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Tapiwa Ganyani has authored 7 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Modeling and Simulation, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Genetics. Recurrent topics in Tapiwa Ganyani's work include COVID-19 epidemiological studies (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Evolution and Genetic Dynamics (3 papers). Tapiwa Ganyani is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and Evolution and Genetic Dynamics (3 papers). Tapiwa Ganyani collaborates with scholars based in Belgium, United States and Netherlands. Tapiwa Ganyani's co-authors include Christel Faes, Niel Hens, Andrea Torneri, Jacco Wallinga, Dongxuan Chen, Cécile Kremer, Gerardo Chowell, Chantal Quinten, Frank Van Reeth and Emmanuel Robesyn and has published in prestigious journals such as PLoS ONE, Statistics in Medicine and Journal of Theoretical Biology.

In The Last Decade

Tapiwa Ganyani

7 papers receiving 414 citations

Peers

Tapiwa Ganyani

MS

ID

EE

EPIDE

PHEOH

Andrea Torneri Belgium

Cécile Kremer Belgium

Marie Varughese Canada

Miriam Casey-Bryars Ireland

David McEvoy Ireland

Sam Moore United Kingdom

Jonggul Lee South Korea

Dongxuan Chen Hong Kong

David Martín-Corral Spain

Zeyao Zhao China

Andrea Torneri Belgium

Tapiwa Ganyani

401 ×1.2

MS

276 ×1.3

ID

90 ×1.0

EE

125 ×1.5

EPIDE

74 ×1.0

PHEOH

Citations per year, relative to Tapiwa Ganyani Tapiwa Ganyani (= 1×) peers Andrea Torneri

Countries citing papers authored by Tapiwa Ganyani

Since Specialization

Citations

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

Fields of papers citing papers by Tapiwa Ganyani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapiwa Ganyani

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

All Works

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7 of 7 papers shown

1.

Ganyani, Tapiwa, Cécile Kremer, Dongxuan Chen, et al.. (2020). Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020. Eurosurveillance. 25(17). 346 indexed citations

2.

Ganyani, Tapiwa, Christel Faes, & Niel Hens. (2020). Simulation and Analysis Methods for Stochastic Compartmental Epidemic Models. Annual Review of Statistics and Its Application. 8(1). 69–88. 14 indexed citations

3.

Ganyani, Tapiwa, Christel Faes, & Niel Hens. (2019). Inference of the generalized-growth model via maximum likelihood estimation: A reflection on the impact of overdispersion. Journal of Theoretical Biology. 484. 110029–110029. 10 indexed citations

4.

Ganyani, Tapiwa, Kimberlyn Roosa, Christel Faes, Niel Hens, & Gerardo Chowell. (2018). Assessing the relationship between epidemic growth scaling and epidemic size: The 2014–16 Ebola epidemic in West Africa. Epidemiology and Infection. 147. e27–e27. 10 indexed citations

5.

Ganyani, Tapiwa, Christel Faes, Gerardo Chowell, & Niel Hens. (2018). Assessing inference of the basic reproduction number in an SIR model incorporating a growth‐scaling parameter. Statistics in Medicine. 37(29). 4490–4506. 7 indexed citations

6.

Jaspers, S., et al.. (2016). Development and application of statistical methodology for analysis of the phenomenon of multi‐drug resistance in the EU: demonstration of analytical approaches using antimicrobial resistance isolate‐based data. EFSA Supporting Publications. 13(9). 7 indexed citations

7.

Santermans, Eva, Emmanuel Robesyn, Tapiwa Ganyani, et al.. (2016). Spatiotemporal Evolution of Ebola Virus Disease at Sub-National Level during the 2014 West Africa Epidemic: Model Scrutiny and Data Meagreness. PLoS ONE. 11(1). e0147172–e0147172. 31 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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