Rendani Mbuvha

717 total citations
28 papers, 276 citations indexed

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 28 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 14 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), Energy Load and Power Forecasting (5 papers) and Gaussian Processes and Bayesian Inference (5 papers). Rendani Mbuvha is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Energy Load and Power Forecasting (5 papers) and Gaussian Processes and Bayesian Inference (5 papers). Rendani Mbuvha collaborates with scholars based in South Africa, United Kingdom and Canada. Rendani Mbuvha's co-authors include Tshilidzi Marwala, Caston Sigauke, Mattias Jönsson, Pawel Herman, Tshilidzi Marwala, Henry Mwambi, Marc Peter Deisenroth, Samuel N. Cohen, Anthony C. Constantinou and Neville K. Kitson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Rendani Mbuvha

25 papers receiving 264 citations

Peers

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).

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.

Co-authorship network of co-authors of Rendani Mbuvha

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	An Interpretable Machine Learning Framework for Unraveling the Dynamics of Surface Soil Moisture Drivers 2025 ·Remote Sensing ·(unknown), Esmaeel Parizi, (unknown), (unknown), (unknown), (unknown), (unknown), Rendani Mbuvha, Seiyed Mossa Hosseini	0
2	Impact‐Based Skill Evaluation of Seasonal Precipitation Forecasts 2024 ·Earth s Future ·(unknown), Rendani Mbuvha, Mojtaba Sadegh, Willem A. Landman	1
3	Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration 2024 ·SSRN Electronic Journal ·Rendani Mbuvha, (unknown), (unknown), (unknown), (unknown), (unknown)	1
4	A novel workflow for streamflow prediction in the presence of missing gauge observations 2023 ·SHILAP Revista de lepidopterología ·Rendani Mbuvha, Julien Adounkpè, (unknown), (unknown), (unknown), Tshilidzi Marwala, Nathaniel K. Newlands	2
5	Open problems in causal structure learning: A case study of COVID-19 in the UK 2023 ·Expert Systems with Applications ·Anthony C. Constantinou, Neville K. Kitson, (unknown), (unknown), (unknown), (unknown), Rendani Mbuvha, (unknown)	11
6	Use of a deep learning and random forest approach to track changes in the predictive nature of socioeconomic drivers of under-5 mortality rates in sub-Saharan Africa 2022 ·BMJ Open ·(unknown), Rendani Mbuvha, Henry Mwambi	7
7	An Analysis of Local Government Financial Statement Audit Outcomes in a Developing Economy Using Machine Learning 2022 ·Sustainability ·(unknown), (unknown), Rendani Mbuvha, Tshilidzi Marwala	7
8	Probabilistic Inference of South African Equity Option Prices Under Jump-Diffusion Processes 2022 ·Research Explorer (The University of Manchester) ·(unknown), (unknown), Rendani Mbuvha, Tshilidzi Marwala	0
9	Shadow Magnetic Hamiltonian Monte Carlo 2022 ·IEEE Access ·(unknown), Rendani Mbuvha, Tshilidzi Marwala	1
10	Bayesian inference of local government audit outcomes 2021 ·PLoS ONE ·(unknown), Rendani Mbuvha, Tshilidzi Marwala	6
11	Quantum-Inspired Magnetic Hamiltonian Monte Carlo 2021 ·PLoS ONE ·(unknown), Rendani Mbuvha, Tshilidzi Marwala	5
12	Utilising Partial Momentum Refreshment in Separable Shadow Hamiltonian Hybrid Monte Carlo 2021 ·IEEE Access ·(unknown), Rendani Mbuvha, Tshilidzi Marwala	3
13	Alleviating Class Imbalance in Actuarial Applications Using Generative Adversarial Networks 2021 ·Risks ·(unknown), Rendani Mbuvha	11
14	Magnetic Hamiltonian Monte Carlo With Partial Momentum Refreshment 2021 ·IEEE Access ·(unknown), Rendani Mbuvha, Tshilidzi Marwala	7
15	Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo 2021 ·IEEE Access ·(unknown), Rendani Mbuvha, Tshilidzi Marwala	5
16	Short-Term Wind Speed Forecasting Using Statistical and Machine Learning Methods 2020 ·Algorithms ·(unknown), Caston Sigauke, (unknown), Rendani Mbuvha	19
17	Healing Products of Gaussian Process Experts 2020 ·UCL Discovery (University College London) ·Samuel N. Cohen, Rendani Mbuvha, Tshilidzi Marwala, Marc Peter Deisenroth	3
18	Bayesian inference of COVID-19 spreading rates in South Africa 2020 ·PLoS ONE ·Rendani Mbuvha, Tshilidzi Marwala	37
19	Forecasting Hourly Global Horizontal Solar Irradiance in South Africa Using Machine Learning Models 2020 ·IEEE Access ·(unknown), Caston Sigauke, Rendani Mbuvha	60
20	Bayesian neural networks for one-hour ahead wind power forecasting 2017 ·Rendani Mbuvha, Mattias Jönsson, (unknown), Pawel Herman	15

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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