András Dán
Impact in
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- Hybrid Renewable Energy Systems
- Pollution top 5%
- Energy and Environment Impacts
Papers in
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- Power Systems and Technologies 7
- Smart Grid Energy Management 7
- Islanding Detection in Power Systems 5
- Optimal Power Flow Distribution 5
- Frequency Control in Power Systems 4
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- Microgrid Control and Optimization 13
- Power Systems Fault Detection 4
- Co-authors
- Kotb M. Kotb (11 shared papers)Mohamed R. Elkadeem (5 shared papers)Swellam W. Sharshir (3 shared papers)Mahmoud F. Elmorshedy (5 shared papers)Bing Liu (2 shared papers)Khaled Elmaadawy (2 shared papers)Dávid Raisz (9 shared papers)Ahmed Moawad (1 shared paper)
In The Last Decade
András Dán
35 papers receiving 738 citations
Peers
Comparison fields: 5 of 54
- Energy Engineering and Power Technology 329
- Pollution 177
- Control and Systems Engineering 287
- Renewable Energy, Sustainability and the Environment 139
- Water Science and Technology 116
Countries citing papers authored by András Dán
This map shows the geographic impact of András Dán'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 András Dán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Dán more than expected).
Fields of papers citing papers by András Dán
This network shows the impact of papers produced by András Dán. 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 András Dán. The network helps show where András Dán may publish in the future.
Co-authors
The 20 scholars most cited alongside András Dán, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 161 | |
| 2 | 2021 | 101 | |
| 3 | 2020 | 85 | |
| 4 | 2021 | 80 | |
| 5 | 2021 | 71 | |
| 6 | 2020 | 57 | |
| 7 | 2011 | 38 | |
| 8 | 2013 | 29 | |
| 9 | 2009 | 22 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2010 | 10 | |
| 13 | 2013 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2005 | 8 | |
| 16 | 2005 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 2011 | 3 |
About András Dán
András Dán is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Pollution and Automotive Engineering, having authored 39 papers that have together received 753 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (13 papers), Hybrid Renewable Energy Systems (9 papers), Power Systems and Technologies (7 papers), Smart Grid Energy Management (7 papers), Islanding Detection in Power Systems (5 papers), Optimal Power Flow Distribution (5 papers), Frequency Control in Power Systems (4 papers) and Power Systems Fault Detection (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (329 citations), Pollution (177 citations), Control and Systems Engineering (287 citations), Renewable Energy, Sustainability and the Environment (139 citations) and Water Science and Technology (116 citations). András Dán has collaborated with scholars based in Hungary, Egypt and China. Frequent co-authors include Kotb M. Kotb, Mohamed R. Elkadeem, Swellam W. Sharshir, Mahmoud F. Elmorshedy, Bing Liu, Khaled Elmaadawy, Dávid Raisz, Ahmed Moawad, B. Hartmann and Hossam S. Salama. Their work appears in journals such as Energy Conversion and Management, IEEE Transactions on Sustainable Energy, Desalination, International Journal of Electrical Power & Energy Systems and Journal of Energy Storage.
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.