Serguei Maximov
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Safety, Risk, Reliability and Quality top 5%
- Mechanical Engineering
- Materials Chemistry
- Co-authors
- J.L. GuardadoE. MelgozaF. Rivas-DávalosR. Escarela-PérezP. MorenoJ.L. NaredoJuan C. Olivares-GalvánVicente Venegas‐Rebollar
- Topics
- Magnetic Properties and Applications (17 papers)Power Transformer Diagnostics and Insulation (9 papers)Statistical Distribution Estimation and Applications (8 papers)
- Cited by
- Safety, Risk, Reliability and QualityControl and Systems EngineeringStatistics, Probability and Uncertainty
- Partner nations
- MexicoRussiaUnited Kingdom
In The Last Decade
Serguei Maximov
46 papers receiving 518 citations
Peers
Comparison fields: 5 of 51
- Electrical and Electronic Engineering 355
- Control and Systems Engineering 252
- Safety, Risk, Reliability and Quality 107
- Mechanical Engineering 95
- Materials Chemistry 69
Countries citing papers authored by Serguei Maximov
This map shows the geographic impact of Serguei Maximov'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 Serguei Maximov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serguei Maximov more than expected).
Fields of papers citing papers by Serguei Maximov
This network shows the impact of papers produced by Serguei Maximov. 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 Serguei Maximov. The network helps show where Serguei Maximov may publish in the future.
Co-authorship network of co-authors of Serguei Maximov
This figure shows the co-authorship network connecting the top 25 collaborators of Serguei Maximov. A scholar is included among the top collaborators of Serguei Maximov 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 Serguei Maximov. Serguei Maximov 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 | 6 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 35 | |
| 13 | 9 | |
| 14 | 12 | |
| 15 | Parallel architecture for the solution of linear equations systems based on division free Gaussian elimination method implemented in FPGA | 1 |
| 16 | Parallel processors architecture in FPGA for the solution of linear equations systems | 1 |
| 17 | 3 | |
| 18 | 97 | |
| 19 | 17 | |
| 20 | 1 |
About Serguei Maximov
Serguei Maximov is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 53 papers that have together received 546 indexed citations. Recurring topics across this work include Magnetic Properties and Applications (17 papers), Power Transformer Diagnostics and Insulation (9 papers) and Statistical Distribution Estimation and Applications (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (107 citations), Control and Systems Engineering (252 citations) and Statistics, Probability and Uncertainty (49 citations). Serguei Maximov has collaborated with scholars based in Mexico, Russia and United Kingdom. Frequent co-authors include J.L. Guardado, E. Melgoza, F. Rivas-Dávalos, R. Escarela-Pérez, P. Moreno, J.L. Naredo, Juan C. Olivares-Galván, Vicente Venegas‐Rebollar, E. Campero‐Littlewood and D. Reuter. Their work appears in journals such as Advanced Materials, Physical Review B and Solar 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.