Faraimunashe Chirove

576 citations
39 papers · 313 indexed · h-index 11
Topics
COVID-19 epidemiological studies (12 papers)Mathematical and Theoretical Epidemiology and Ecology Models (12 papers)Viral Infections and Outbreaks Research (7 papers)

In The Last Decade

Faraimunashe Chirove

35 papers receiving 304 citations

Peers

Faraimunashe Chirove
Comparison fields: 5 of 68
  • Modeling and Simulation 150
  • Infectious Diseases 136
  • Public Health, Environmental and Occupational Health 125
  • Epidemiology 38
  • Genetics 36
Replace Víctor Fiestas Solórzano with:
Víctor Fiestas Solórzano Peru
N’Faly Magassouba Guinea
Kasia A. Pawelek United States
Sandra Sitar United States
Elsa Schaefer United States
Cheng-Lin Deng China
Placide Mbala‐Kingebeni Democratic Republic of the Congo
Andrew Bosworth United Kingdom
Mayowa M. Ojo Nigeria
Christine Kreuder Johnson United States
Faraimunashe Chirove relative to Víctor Fiestas Solórzano Peru Víctor Fiestas Solórzano's profile →
Citations per field
00.5×7.2×
Víctor Fiestas Solórzano · 1×
Citations per year

Countries citing papers authored by Faraimunashe Chirove

Since Specialization
Citations

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

Fields of papers citing papers by Faraimunashe Chirove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faraimunashe Chirove

This figure shows the co-authorship network connecting the top 25 collaborators of Faraimunashe Chirove. A scholar is included among the top collaborators of Faraimunashe Chirove 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 Faraimunashe Chirove. Faraimunashe Chirove 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
#WorkIndexed citations
1 0
2 0
3 7
4 7
5 2
6 3
7 8
8 2
9 18
10 12
11 8
12 12
13 1
14 8
15 43
16 3
17 13
18 2
19 11
20 5

About Faraimunashe Chirove

Faraimunashe Chirove is a scholar working on Modeling and Simulation, Virology and Infectious Diseases, having authored 39 papers that have together received 313 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and Viral Infections and Outbreaks Research (7 papers). The work is most often cited by research in Modeling and Simulation (150 citations), Infectious Diseases (136 citations) and Virology (27 citations). Faraimunashe Chirove has collaborated with scholars based in South Africa, United States and Kenya. Frequent co-authors include Farai Nyabadza, K. S. Govinder, C. W. Chukwu, Holly Gaff, Wilfred Ndifon, Winston Garira, Nuning Nuraini, Edy Soewono, Fatmawati Fatmawati and Suzanne Lenhart. Their work appears in journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

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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