Nadezhda Chukhno
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Aerospace Engineering
- Industrial and Manufacturing Engineering top 10%
- Media Technology
- Co-authors
- Giuseppe AranitiAntonio IeraOlga ChukhnoAntonella MolinaroClaudia CampoloSara PizziSergio TrillesJoaquín Torres-Sospedra
- Topics
- Advanced MIMO Systems Optimization (13 papers)Millimeter-Wave Propagation and Modeling (9 papers)Advanced Wireless Communication Technologies (7 papers)
In The Last Decade
Nadezhda Chukhno
22 papers receiving 241 citations
Peers
Comparison fields: 5 of 45
- Electrical and Electronic Engineering 157
- Computer Networks and Communications 120
- Aerospace Engineering 48
- Industrial and Manufacturing Engineering 34
- Media Technology 20
Countries citing papers authored by Nadezhda Chukhno
This map shows the geographic impact of Nadezhda Chukhno'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 Chukhno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadezhda Chukhno more than expected).
Fields of papers citing papers by Nadezhda Chukhno
This network shows the impact of papers produced by Nadezhda Chukhno. 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 Chukhno. The network helps show where Nadezhda Chukhno may publish in the future.
Co-authorship network of co-authors of Nadezhda Chukhno
This figure shows the co-authorship network connecting the top 25 collaborators of Nadezhda Chukhno. A scholar is included among the top collaborators of Nadezhda Chukhno 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 Chukhno. Nadezhda Chukhno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 38 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 19 | |
| 17 | 31 | |
| 18 | 30 | |
| 19 | A chatbot as an environment for carrying out the group decision making process. | 4 |
| 20 | 12 |
About Nadezhda Chukhno
Nadezhda Chukhno is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Media Technology, having authored 25 papers that have together received 251 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (13 papers), Millimeter-Wave Propagation and Modeling (9 papers) and Advanced Wireless Communication Technologies (7 papers). The work is most often cited by research in Computer Networks and Communications (120 citations), Industrial and Manufacturing Engineering (34 citations) and Electrical and Electronic Engineering (157 citations). Nadezhda Chukhno has collaborated with scholars based in Finland, Italy and Spain. Frequent co-authors include Giuseppe Araniti, Antonio Iera, Olga Chukhno, Antonella Molinaro, Claudia Campolo, Sara Pizzi, Sergio Trilles, Joaquín Torres-Sospedra, Konstantin Samouylov and Dmitri Moltchanov. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine 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.