M. Sforna
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Civil and Structural Engineering top 5%
- Safety, Risk, Reliability and Quality top 2%
- Artificial Intelligence top 10%
- Co-authors
- Roberto SetolaStefano De PorcellinisDiego CirioAndrea PittoEmanuele CiapessoniA. PrudenziR. LamedicaMaurizio Caciotta
- Topics
- Smart Grid Security and Resilience (18 papers)Power System Reliability and Maintenance (17 papers)Power System Optimization and Stability (13 papers)
- Cited by
- Safety, Risk, Reliability and QualityControl and Systems EngineeringStatistics, Probability and Uncertainty
- Partner nations
- ItalyUnited StatesIreland
In The Last Decade
M. Sforna
50 papers receiving 829 citations
Peers
Comparison fields: 5 of 75
- Electrical and Electronic Engineering 561
- Control and Systems Engineering 332
- Civil and Structural Engineering 189
- Safety, Risk, Reliability and Quality 160
- Artificial Intelligence 97
Countries citing papers authored by M. Sforna
This map shows the geographic impact of M. Sforna'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 M. Sforna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sforna more than expected).
Fields of papers citing papers by M. Sforna
This network shows the impact of papers produced by M. Sforna. 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 M. Sforna. The network helps show where M. Sforna may publish in the future.
Co-authorship network of co-authors of M. Sforna
This figure shows the co-authorship network connecting the top 25 collaborators of M. Sforna. A scholar is included among the top collaborators of M. Sforna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Sforna. M. Sforna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | Grid restoration through self-sustained islands | 4 |
| 13 | 28 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | Application of Artificial Neural Network to Historical Data Analysis for Short Time Forecasting of Italian Electrical Load | 1 |
| 18 | 19 | |
| 19 | 9 | |
| 20 | 11 |
About M. Sforna
M. Sforna is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Civil and Structural Engineering, having authored 53 papers that have together received 891 indexed citations. Recurring topics across this work include Smart Grid Security and Resilience (18 papers), Power System Reliability and Maintenance (17 papers) and Power System Optimization and Stability (13 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (160 citations), Control and Systems Engineering (332 citations) and Statistics, Probability and Uncertainty (81 citations). M. Sforna has collaborated with scholars based in Italy, United States and Ireland. Frequent co-authors include Roberto Setola, Stefano De Porcellinis, Diego Cirio, Andrea Pitto, Emanuele Ciapessoni, A. Prudenzi, R. Lamedica, Maurizio Caciotta, M. Pozzi and Chen‐Ching Liu. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and Energies.
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.