Sergey A. Lobov
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Victor KazantsevValeri A. MakarovAlexey MikhaylovInnokentiy KastalskiySergey ShchanikovSusanna GordleevaAlexey PimashkinYana Pigareva
- Topics
- Neural dynamics and brain function (23 papers)Advanced Memory and Neural Computing (22 papers)Neuroscience and Neural Engineering (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Sergey A. Lobov
38 papers receiving 688 citations
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 369
- Cognitive Neuroscience 338
- Cellular and Molecular Neuroscience 265
- Biomedical Engineering 170
- Artificial Intelligence 103
Countries citing papers authored by Sergey A. Lobov
This map shows the geographic impact of Sergey A. Lobov'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 A. Lobov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey A. Lobov more than expected).
Fields of papers citing papers by Sergey A. Lobov
This network shows the impact of papers produced by Sergey A. Lobov. 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 A. Lobov. The network helps show where Sergey A. Lobov may publish in the future.
Co-authorship network of co-authors of Sergey A. Lobov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey A. Lobov. A scholar is included among the top collaborators of Sergey A. Lobov 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 A. Lobov. Sergey A. Lobov 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 33 | |
| 11 | 19 | |
| 12 | 6 | |
| 13 | 144 | |
| 14 | 1 | |
| 15 | 35 | |
| 16 | 3 | |
| 17 | 31 | |
| 18 | 2 | |
| 19 | Human-machine interface built on sEMG toolkit with artificial neural network feature classifier | 1 |
| 20 | 0 |
About Sergey A. Lobov
Sergey A. Lobov is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 43 papers that have together received 712 indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Advanced Memory and Neural Computing (22 papers) and Neuroscience and Neural Engineering (17 papers). The work is most often cited by research in Cognitive Neuroscience (338 citations), Cellular and Molecular Neuroscience (265 citations) and Human-Computer Interaction (49 citations). Sergey A. Lobov has collaborated with scholars based in Russia, Spain and Italy. Frequent co-authors include Victor Kazantsev, Valeri A. Makarov, Alexey Mikhaylov, Innokentiy Kastalskiy, Sergey Shchanikov, Susanna Gordleeva, Alexey Pimashkin, Yana Pigareva, E.G. Gryaznov and Svetlana A. Gerasimova. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.