Sibusiso Sibisi
- Nuclear and High Energy Physics top 10%
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- Statistical Mechanics and Entropy 3
- Spectroscopy top 10%
- Advanced NMR Techniques and Applications 1
- Biophysics top 10%
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- Protein Structure and Dynamics 3
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- Spectroscopy and Quantum Chemical Studies 2
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- Statistical Methods and Bayesian Inference 1
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- Grey System Theory Applications 1
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- Structural Health Monitoring Techniques 1
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- Bayesian Methods and Mixture Models 1
- Journals
- Nature (2 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)Journal of Aircraft (1 paper)
- Partner nations
- United KingdomSouth Africa
In The Last Decade
Sibusiso Sibisi
8 papers receiving 931 citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Nuclear and High Energy Physics 226
- Statistical and Nonlinear Physics 146
- Spectroscopy 147
- Biophysics 48
- Statistics, Probability and Uncertainty 55
Countries citing papers authored by Sibusiso Sibisi
This map shows the geographic impact of Sibusiso Sibisi'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 Sibusiso Sibisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sibusiso Sibisi more than expected).
Fields of papers citing papers by Sibusiso Sibisi
This network shows the impact of papers produced by Sibusiso Sibisi. 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 Sibusiso Sibisi. The network helps show where Sibusiso Sibisi may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Sibusiso Sibisi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 46 | |
| 2 | Free/Libre & Open Source Software and Open Standards in South Africa | 2004 | 0 |
| 3 | 1997 | 30 | |
| 4 | Maximum entropy and Bayesian methods : proceedings of the Fourteenth International Workshop on Maximum Entropy and Bayesian Methods : Cambridge, England, 1994 | 1996 | 1 |
| 5 | Maximum Entropy and Bayesian Methodsbreakdown → | 1996 | 533 |
| 6 | 1985 | 105 | |
| 7 | 1984 | 165 | |
| 8 | 1983 | 104 | |
| 9 | 1982 | 3 |
About Sibusiso Sibisi
Sibusiso Sibisi is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 987 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Statistical Mechanics and Entropy (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Statistical Methods and Bayesian Inference (1 paper), Grey System Theory Applications (1 paper), Structural Health Monitoring Techniques (1 paper), Bayesian Methods and Mixture Models (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (226 citations), Statistical and Nonlinear Physics (146 citations) and Spectroscopy (147 citations). Sibusiso Sibisi has collaborated with scholars based in United Kingdom and South Africa. Frequent co-authors include John Skilling, Richard G. Brereton, James Staunton, Ernest D. Laue and Tshilidzi Marwala. Their work appears in journals such as Nature, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Journal of Aircraft.
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.