Yales Rômulo de Novaes
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 5%
- Automotive Engineering top 10%
- Condensed Matter Physics
- Surgery
- Co-authors
- Alfred RuferStephan KenzelmannFrancisco CanalesDražen DujićIvo BarbiSérgio Vidal Garcia OliveiraAlessandro Luiz BatschauerMichail Vasiladiotis
- Topics
- Advanced DC-DC Converters (29 papers)Multilevel Inverters and Converters (27 papers)Microgrid Control and Optimization (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Power ElectronicsEngineering Applications of Artificial Intelligence
- Partner nations
- BrazilSwitzerlandUnited Kingdom
In The Last Decade
Yales Rômulo de Novaes
48 papers receiving 845 citations
Peers
Comparison fields: 5 of 43
- Electrical and Electronic Engineering 830
- Control and Systems Engineering 198
- Automotive Engineering 84
- Condensed Matter Physics 54
- Surgery 39
Countries citing papers authored by Yales Rômulo de Novaes
This map shows the geographic impact of Yales Rômulo de Novaes'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 Yales Rômulo de Novaes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yales Rômulo de Novaes more than expected).
Fields of papers citing papers by Yales Rômulo de Novaes
This network shows the impact of papers produced by Yales Rômulo de Novaes. 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 Yales Rômulo de Novaes. The network helps show where Yales Rômulo de Novaes may publish in the future.
Co-authorship network of co-authors of Yales Rômulo de Novaes
This figure shows the co-authorship network connecting the top 25 collaborators of Yales Rômulo de Novaes. A scholar is included among the top collaborators of Yales Rômulo de Novaes 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 Yales Rômulo de Novaes. Yales Rômulo de Novaes 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 | 0 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 10 | |
| 15 | A versatile DC-DC converter for energy collection and distribution using the Modular Multilevel Converter | 68 |
| 16 | A novel multilevel converter structure integrated into power systems and its performance evaluation | 8 |
| 17 | 18 | |
| 18 | 22 | |
| 19 | 57 | |
| 20 | 5 |
About Yales Rômulo de Novaes
Yales Rômulo de Novaes is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 53 papers that have together received 872 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (29 papers), Multilevel Inverters and Converters (27 papers) and Microgrid Control and Optimization (17 papers). The work is most often cited by research in Electrical and Electronic Engineering (830 citations), Control and Systems Engineering (198 citations) and Automotive Engineering (84 citations). Yales Rômulo de Novaes has collaborated with scholars based in Brazil, Switzerland and United Kingdom. Frequent co-authors include Alfred Rufer, Stephan Kenzelmann, Francisco Canales, Dražen Dujić, Ivo Barbi, Sérgio Vidal Garcia Oliveira, Alessandro Luiz Batschauer, Michail Vasiladiotis, Patrick Wheeler and John Clare. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Electronics and Engineering Applications of Artificial Intelligence.
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.