L.S. Moulin
Impact in
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- Power System Reliability and Maintenance
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- Power Systems Fault Detection
Papers in
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- Optimal Power Flow Distribution 5
- Power System Optimization and Stability 4
- Energy Load and Power Forecasting 4
- Electric Power System Optimization 3
- Smart Grid and Power Systems 2
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- Power System Reliability and Maintenance 4
- Co-authors
- M.A. El-Sharkawi (4 shared papers)Robert J. Marks (3 shared papers)I. Kassabalidis (1 shared paper)Claudia Sagastizábal (1 shared paper)Michaël Poss (1 shared paper)Carmen L.T. Borges (2 shared papers)Alberto Berizzi (1 shared paper)
- Journals
- IEEE Transactions on Power Systems (3 papers)International Journal of Electrical Power & Energy Systems (1 paper)Energy Systems (1 paper)Dialnet (Universidad de la Rioja) (1 paper)
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
L.S. Moulin
10 papers receiving 528 citations
Peers
Comparison fields: 5 of 58
- Safety, Risk, Reliability and Quality 148
- Control and Systems Engineering 230
- Electrical and Electronic Engineering 481
- Energy Engineering and Power Technology 14
- Management Science and Operations Research 41
Countries citing papers authored by L.S. Moulin
This map shows the geographic impact of L.S. Moulin'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 L.S. Moulin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.S. Moulin more than expected).
Fields of papers citing papers by L.S. Moulin
This network shows the impact of papers produced by L.S. Moulin. 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 L.S. Moulin. The network helps show where L.S. Moulin may publish in the future.
Co-authors
The 7 scholars most cited alongside L.S. Moulin, 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 | 2004 | 287 | |
| 2 | 2000 | 85 | |
| 3 | 2002 | 82 | |
| 4 | 2003 | 32 | |
| 5 | 2010 | 31 | |
| 6 | 2002 | 25 | |
| 7 | Neural networks and support vector machines applied to power systems transient stability analysis | 2001 | 21 |
| 8 | 2023 | 2 | |
| 9 | 2018 | 1 | |
| 10 | Artificial neural network-based short-term demand forecaster. | 2003 | 1 |
| 11 | 2016 | 0 |
About L.S. Moulin
L.S. Moulin is a scholar working on Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 11 papers that have together received 567 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (5 papers), Power System Reliability and Maintenance (4 papers), Neural Networks and Applications (4 papers), Power System Optimization and Stability (4 papers), Energy Load and Power Forecasting (4 papers), Electric Power System Optimization (3 papers), Image and Signal Denoising Methods (3 papers) and Smart Grid and Power Systems (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (148 citations), Control and Systems Engineering (230 citations), Electrical and Electronic Engineering (481 citations), Energy Engineering and Power Technology (14 citations) and Management Science and Operations Research (41 citations). L.S. Moulin has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include M.A. El-Sharkawi, Robert J. Marks, I. Kassabalidis, Claudia Sagastizábal, Michaël Poss, Carmen L.T. Borges and Alberto Berizzi. Their work appears in journals such as IEEE Transactions on Power Systems, International Journal of Electrical Power & Energy Systems, Energy Systems and Dialnet (Universidad de la Rioja).
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.