Daniel Burmester
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- Hybrid Renewable Energy Systems 9
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- Microgrid Control and Optimization 20
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- Smart Grid Energy Management 14
- Electric Vehicles and Infrastructure 8
- Integrated Energy Systems Optimization 3
- Islanding Detection in Power Systems 3
- solar cell performance optimization 3
- Automotive Engineering top 10%
- Pollution top 10%
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- Photovoltaic System Optimization Techniques 7
- Co-authors
- Alan C. BrentSoheil MohseniRamesh RayuduWinston K.G. SeahDaniel AkinyeleWill N. BrowneScott KellyJim Hinkley
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- New ZealandSouth AfricaAustralia
In The Last Decade
Daniel Burmester
28 papers receiving 608 citations
Peers
Comparison fields: 5 of 55
- Energy Engineering and Power Technology 179
- Control and Systems Engineering 363
- Electrical and Electronic Engineering 496
- Automotive Engineering 88
- Pollution 66
Countries citing papers authored by Daniel Burmester
This map shows the geographic impact of Daniel Burmester'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 Daniel Burmester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Burmester more than expected).
Fields of papers citing papers by Daniel Burmester
This network shows the impact of papers produced by Daniel Burmester. 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 Daniel Burmester. The network helps show where Daniel Burmester may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Daniel Burmester, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 46 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 78 | |
| 11 | 2019 | 27 | |
| 12 | 2018 | 14 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 3 | |
| 16 | 2016 | 1 | |
| 17 | 2016 | 0 | |
| 18 | 2016 | 11 | |
| 19 | 2015 | 3 | |
| 20 | 2014 | 3 |
About Daniel Burmester
Daniel Burmester is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Pollution, having authored 31 papers that have together received 622 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (20 papers), Smart Grid Energy Management (14 papers), Hybrid Renewable Energy Systems (9 papers), Electric Vehicles and Infrastructure (8 papers), Photovoltaic System Optimization Techniques (7 papers), Integrated Energy Systems Optimization (3 papers), Islanding Detection in Power Systems (3 papers) and solar cell performance optimization (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (179 citations), Control and Systems Engineering (363 citations), Electrical and Electronic Engineering (496 citations), Automotive Engineering (88 citations) and Pollution (66 citations). Daniel Burmester has collaborated with scholars based in New Zealand, South Africa and Australia. Frequent co-authors include Alan C. Brent, Soheil Mohseni, Ramesh Rayudu, Winston K.G. Seah, Daniel Akinyele, Will N. Browne, Scott Kelly, Jim Hinkley, David C. Harrison and Michael Emmanuel. Their work appears in journals such as Energies, Applied Energy, Energy and AI, International Journal of Electrical Power & Energy Systems and Conservation Biology.
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.