Nadezhda Semenova
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 2%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- В. С. АнищенкоAnna ZakharovaEckehard SchöllGalina I. StrelkovaElena RybalovaDaniel BrunnerТ. Е. ВадивасоваLaurent Larger
- Topics
- Nonlinear Dynamics and Pattern Formation (16 papers)Neural dynamics and brain function (10 papers)Chaos control and synchronization (10 papers)
In The Last Decade
Nadezhda Semenova
33 papers receiving 533 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 415
- Statistical and Nonlinear Physics 345
- Cognitive Neuroscience 231
- Biomedical Engineering 103
- Artificial Intelligence 48
Countries citing papers authored by Nadezhda Semenova
This map shows the geographic impact of Nadezhda Semenova'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 Nadezhda Semenova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadezhda Semenova more than expected).
Fields of papers citing papers by Nadezhda Semenova
This network shows the impact of papers produced by Nadezhda Semenova. 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 Nadezhda Semenova. The network helps show where Nadezhda Semenova may publish in the future.
Co-authorship network of co-authors of Nadezhda Semenova
This figure shows the co-authorship network connecting the top 25 collaborators of Nadezhda Semenova. A scholar is included among the top collaborators of Nadezhda Semenova 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 Nadezhda Semenova. Nadezhda Semenova 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 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 28 | |
| 13 | 43 | |
| 14 | 51 | |
| 15 | 40 | |
| 16 | 170 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 3 |
About Nadezhda Semenova
Nadezhda Semenova is a scholar working on Statistical and Nonlinear Physics, Theoretical Computer Science and Computer Networks and Communications, having authored 40 papers that have together received 556 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (16 papers), Neural dynamics and brain function (10 papers) and Chaos control and synchronization (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (345 citations), Computer Networks and Communications (415 citations) and Cognitive Neuroscience (231 citations). Nadezhda Semenova has collaborated with scholars based in Russia, Germany and France. Frequent co-authors include В. С. Анищенко, Anna Zakharova, Eckehard Schöll, Galina I. Strelkova, Elena Rybalova, Daniel Brunner, Т. Е. Вадивасова, Laurent Larger, Igor Franović and Valery V. Tuchin. Their work appears in journals such as Physical Review Letters, Physics Reports and Neural Networks.
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.