Rendani Mbuvha

24 papers and 179 indexed citations i.

About

Rendani Mbuvha is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Rendani Mbuvha has authored 24 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 6 papers in Management Science and Operations Research. Recurrent topics in Rendani Mbuvha’s work include Markov Chains and Monte Carlo Methods (8 papers), Gaussian Processes and Bayesian Inference (5 papers) and Imbalanced Data Classification Techniques (4 papers). Rendani Mbuvha is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Gaussian Processes and Bayesian Inference (5 papers) and Imbalanced Data Classification Techniques (4 papers). Rendani Mbuvha collaborates with scholars based in South Africa, United Kingdom and Canada. Rendani Mbuvha's co-authors include Tshilidzi Marwala, Caston Sigauke, Henry Mwambi, Anthony C. Constantinou, Samuel N. Cohen, Marc Peter Deisenroth, Tshilidzi Marwala, Julien Adounkpè, Mojtaba Sadegh and Nathaniel K. Newlands and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Rendani Mbuvha i

Fields of papers citing papers by Rendani Mbuvha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rendani Mbuvha

Since Specialization
Citations

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