Mario Russo
Impact in
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- Microgrid Control and Optimization
Papers in
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- Microgrid Control and Optimization 45
- Smart Grid Security and Resilience 6
- Real-time simulation and control systems 5
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- Optimal Power Flow Distribution 55
- Smart Grid Energy Management 43
- Power System Optimization and Stability 28
- Electric Power System Optimization 10
- Co-authors
- Anna Rita Di FazioGiuseppe FuscoA. LosiMichele De SantisKai StrunzSonia LevaJuri JatskevichMehrdad Kazerani
In The Last Decade
Mario Russo
93 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 64
- Control and Systems Engineering 896
- Energy Engineering and Power Technology 112
- Electrical and Electronic Engineering 1.2k
- Renewable Energy, Sustainability and the Environment 242
- Safety, Risk, Reliability and Quality 87
Countries citing papers authored by Mario Russo
This map shows the geographic impact of Mario Russo'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 Mario Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Russo more than expected).
Fields of papers citing papers by Mario Russo
This network shows the impact of papers produced by Mario Russo. 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 Mario Russo. The network helps show where Mario Russo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Russo, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 26 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 30 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 7 | |
| 14 | 2017 | 22 | |
| 15 | 2014 | 2 | |
| 16 | 2012 | 1 | |
| 17 | 2008 | 5 | |
| 18 | Adaptive voltage control in power systems : modelling, design and applications | 2007 | 4 |
| 19 | 2006 | 8 | |
| 20 | 2001 | 3 |
About Mario Russo
Mario Russo is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (55 papers), Microgrid Control and Optimization (45 papers), Smart Grid Energy Management (43 papers), Power System Optimization and Stability (28 papers), Electric Power System Optimization (10 papers), Power System Reliability and Maintenance (8 papers), Smart Grid Security and Resilience (6 papers) and Real-time simulation and control systems (5 papers). The work is most often cited by research in Control and Systems Engineering (896 citations), Energy Engineering and Power Technology (112 citations), Electrical and Electronic Engineering (1.2k citations), Renewable Energy, Sustainability and the Environment (242 citations) and Safety, Risk, Reliability and Quality (87 citations). Mario Russo has collaborated with scholars based in Italy, Spain and Hong Kong. Frequent co-authors include Anna Rita Di Fazio, Giuseppe Fusco, A. Losi, Michele De Santis, Kai Strunz, Sonia Leva, Juri Jatskevich, Mehrdad Kazerani, J.A. Martínez and Amirnaser Yazdani. Their work appears in journals such as Energies, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Delivery, Electric Power Systems Research and Control Engineering Practice.
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.