Sergey V. Muravyov
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Co-authors
- Nazmun NaharKalle LyytinenNataliya A. GavrilenkoTao ShaoMun Choon ChanS. UchaikinShadfar DavoodiDavid A. Wood
- Topics
- Scientific Measurement and Uncertainty Evaluation (10 papers)Sensor Technology and Measurement Systems (8 papers)Fault Detection and Control Systems (7 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement Science and Operations ResearchComputer Networks and Communications
In The Last Decade
Sergey V. Muravyov
48 papers receiving 311 citations
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 90
- Electrical and Electronic Engineering 62
- Statistics, Probability and Uncertainty 56
- Artificial Intelligence 55
- Management Science and Operations Research 51
Countries citing papers authored by Sergey V. Muravyov
This map shows the geographic impact of Sergey V. Muravyov'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 Sergey V. Muravyov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey V. Muravyov more than expected).
Fields of papers citing papers by Sergey V. Muravyov
This network shows the impact of papers produced by Sergey V. Muravyov. 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 Sergey V. Muravyov. The network helps show where Sergey V. Muravyov may publish in the future.
Co-authorship network of co-authors of Sergey V. Muravyov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey V. Muravyov. A scholar is included among the top collaborators of Sergey V. Muravyov 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 Sergey V. Muravyov. Sergey V. Muravyov 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 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 31 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | Rankings as ordinal scale measurement results | 7 |
| 19 | TEACHING MEASUREMENT THEORY IN METROLOGY, STANDARDIZATION AND CERTIFICATION | 0 |
| 20 | 5 |
About Sergey V. Muravyov
Sergey V. Muravyov is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 53 papers that have together received 333 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (10 papers), Sensor Technology and Measurement Systems (8 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (56 citations), Management Science and Operations Research (51 citations) and Computer Networks and Communications (90 citations). Sergey V. Muravyov has collaborated with scholars based in Russia, Finland and Singapore. Frequent co-authors include Nazmun Nahar, Kalle Lyytinen, Nataliya A. Gavrilenko, Tao Shao, Mun Choon Chan, S. Uchaikin, Shadfar Davoodi, David A. Wood, Mohammad Mehrad and Valeriy S. Rukavishnikov. Their work appears in journals such as Information & Management, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.
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.