Н. В. Рева
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Clinical Psychology
- Social Psychology top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Lyubomir I. AftanasС. В. ПавловВ. П. МахневAnton VarlamovLjubomir I. AftanasИ. В. БракTamara G. Amstislavskaya
- Topics
- EEG and Brain-Computer Interfaces (8 papers)Heart Rate Variability and Autonomic Control (8 papers)Neural dynamics and brain function (7 papers)
- Partner nations
- RussiaUnited Kingdom
In The Last Decade
Н. В. Рева
21 papers receiving 686 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 578
- Experimental and Cognitive Psychology 257
- Clinical Psychology 104
- Social Psychology 99
- Cardiology and Cardiovascular Medicine 87
Countries citing papers authored by Н. В. Рева
This map shows the geographic impact of Н. В. Рева'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 Н. В. Рева with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Н. В. Рева more than expected).
Fields of papers citing papers by Н. В. Рева
This network shows the impact of papers produced by Н. В. Рева. 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 Н. В. Рева. The network helps show where Н. В. Рева may publish in the future.
Co-authorship network of co-authors of Н. В. Рева
This figure shows the co-authorship network connecting the top 25 collaborators of Н. В. Рева. A scholar is included among the top collaborators of Н. В. Рева 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 Н. В. Рева. Н. В. Рева is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 26 | |
| 5 | 24 | |
| 6 | [Coupling of brain oscillatory systems with cognitive (experience and valence) and physiological (cardiovascular reactivity) components of emotion]. | 0 |
| 7 | 2 | |
| 8 | [Features of brain oscillatory activity and cardiac defense in treatment arterial hypertensives]. | 1 |
| 9 | 23 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 63 | |
| 14 | 189 | |
| 15 | [Event-related synchronization and desynchronization of EEG during perception of emotional stimuli: association with autonomous nervous system activity]. | 2 |
| 16 | 26 | |
| 17 | 48 | |
| 18 | [Reflection of the emotion manifestation in effects of evoked EEG synchronization and desynchronization]. | 4 |
| 19 | 202 | |
| 20 | 75 |
About Н. В. Рева
Н. В. Рева is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 726 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Heart Rate Variability and Autonomic Control (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Cognitive Neuroscience (578 citations), Experimental and Cognitive Psychology (257 citations) and Clinical Psychology (104 citations). Н. В. Рева has collaborated with scholars based in Russia and United Kingdom. Frequent co-authors include Lyubomir I. Aftanas, С. В. Павлов, В. П. Махнев, Anton Varlamov, Ljubomir I. Aftanas, С. В. Павлов, И. В. Брак and Tamara G. Amstislavskaya. Their work appears in journals such as Neuroscience, Psychophysiology and Cognition & Emotion.
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.