Olga Lavrova
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Renewable Energy, Sustainability and the Environment
- Automotive Engineering
- Artificial Intelligence
- Co-authors
- Matthew J. RenoSijo AugustineSukumar BrahmaByung Chul KimAndrea MammoliRaymond H. ByrneJimmy QuirozFeng Cheng
- Topics
- Smart Grid Energy Management (18 papers)Microgrid Control and Optimization (17 papers)Photovoltaic System Optimization Techniques (15 papers)
- Cited by
- Control and Systems EngineeringEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
- Partner nations
- United StatesDenmarkBelarus
In The Last Decade
Olga Lavrova
55 papers receiving 415 citations
Peers
Comparison fields: 5 of 44
- Electrical and Electronic Engineering 368
- Control and Systems Engineering 238
- Renewable Energy, Sustainability and the Environment 87
- Automotive Engineering 44
- Artificial Intelligence 41
Countries citing papers authored by Olga Lavrova
This map shows the geographic impact of Olga Lavrova'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 Olga Lavrova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Lavrova more than expected).
Fields of papers citing papers by Olga Lavrova
This network shows the impact of papers produced by Olga Lavrova. 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 Olga Lavrova. The network helps show where Olga Lavrova may publish in the future.
Co-authorship network of co-authors of Olga Lavrova
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Lavrova. A scholar is included among the top collaborators of Olga Lavrova 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 Olga Lavrova. Olga Lavrova 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 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 49 | |
| 10 | 65 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 4 | |
| 17 | 16 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | Testability Analysis of the VHDL Structure for Fault Coverage Improving | 1 |
About Olga Lavrova
Olga Lavrova is a scholar working on Control and Systems Engineering, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 65 papers that have together received 439 indexed citations. Recurring topics across this work include Smart Grid Energy Management (18 papers), Microgrid Control and Optimization (17 papers) and Photovoltaic System Optimization Techniques (15 papers). The work is most often cited by research in Control and Systems Engineering (238 citations), Energy Engineering and Power Technology (28 citations) and Electrical and Electronic Engineering (368 citations). Olga Lavrova has collaborated with scholars based in United States, Denmark and Belarus. Frequent co-authors include Matthew J. Reno, Sijo Augustine, Sukumar Brahma, Byung Chul Kim, Andrea Mammoli, Raymond H. Byrne, Jimmy Quiroz, Feng Cheng, Satish J. Ranade and Felipe Wilches‐Bernal. Their work appears in journals such as Journal of Materials Chemistry A, IEEE Access and Renewable Energy.
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.