Dávid Markovics
Impact in
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- Power Systems and Renewable Energy
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
Papers in
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- Photovoltaic System Optimization Techniques 3
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- Solar Radiation and Photovoltaics 3
- Co-authors
- Martin János Mayer (5 shared papers)Dazhi Yang (2 shared papers)Tamás Fodor (1 shared paper)
- Journals
- Energy Conversion and Management (2 papers)Renewable and Sustainable Energy Reviews (1 paper)Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (2 papers)
In The Last Decade
Dávid Markovics
5 papers receiving 314 citations
Dávid Markovics's Hit Papers
Peers
Comparison fields: 5 of 44
- Energy Engineering and Power Technology 26
- Renewable Energy, Sustainability and the Environment 119
- Artificial Intelligence 229
- Electrical and Electronic Engineering 207
- Management Science and Operations Research 32
Countries citing papers authored by Dávid Markovics
This map shows the geographic impact of Dávid Markovics'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 Dávid Markovics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Markovics more than expected).
Fields of papers citing papers by Dávid Markovics
This network shows the impact of papers produced by Dávid Markovics. 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 Dávid Markovics. The network helps show where Dávid Markovics may publish in the future.
Co-authors
The 3 scholars most cited alongside Dávid Markovics, 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 | Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction Hit paper breakdown → | 2022 | 311 |
| 2 | 2025 | 5 | |
| 3 | Size Effects and Non-Fourier Thermal Behaviour in Rocks | 2020 | 2 |
| 4 | 2022 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2026 | 0 |
About Dávid Markovics
Dávid Markovics is a scholar working on Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Electrical and Electronic Engineering, Ocean Engineering and Computational Mechanics, having authored 6 papers that have together received 321 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (3 papers), Solar Radiation and Photovoltaics (3 papers), Energy Load and Power Forecasting (3 papers), Granular flow and fluidized beds (1 paper), Rock Mechanics and Modeling (1 paper) and Coal Properties and Utilization (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (26 citations), Renewable Energy, Sustainability and the Environment (119 citations), Artificial Intelligence (229 citations), Electrical and Electronic Engineering (207 citations) and Management Science and Operations Research (32 citations). Dávid Markovics has collaborated with scholars based in Hungary and China. Frequent co-authors include Martin János Mayer, Dazhi Yang and Tamás Fodor. Their work appears in journals such as Energy Conversion and Management, Renewable and Sustainable Energy Reviews and Repository of the Academy's Library (Library of the Hungarian Academy of Sciences).
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.