Oscar Ngesa

38 papers and 276 indexed citations i.

About

Oscar Ngesa is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Oscar Ngesa has authored 38 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 6 papers in Economics and Econometrics and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Oscar Ngesa’s work include Statistical Distribution Estimation and Applications (14 papers), Statistical Methods and Inference (11 papers) and Statistical Methods and Bayesian Inference (11 papers). Oscar Ngesa is often cited by papers focused on Statistical Distribution Estimation and Applications (14 papers), Statistical Methods and Inference (11 papers) and Statistical Methods and Bayesian Inference (11 papers). Oscar Ngesa collaborates with scholars based in Kenya, Pakistan and South Africa. Oscar Ngesa's co-authors include Henry Mwambi, Samuel Mwalili, Abdisalam Hassan Muse, Suleman Nasiru, Thomas Achia, Quarraisha Abdool Karim, Huda M. Alshanbari, Christophe Chesneau, Saad J. Almalki and Abd Al-Aziz Hosni El-Bagoury and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and BMC Public Health.

In The Last Decade

Co-authorship network of co-authors of Oscar Ngesa i

Fields of papers citing papers by Oscar Ngesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Oscar Ngesa

Since Specialization
Citations

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

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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