Alexei A. Morozov
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Cellular and Molecular Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jorge AngelesTing ZouYu. V. ObukhovOscar M. NavarroAlbert DipandàTatiana A. StroganovaElena V. OrekhovaAndrey O. Prokofyev
- Topics
- EEG and Brain-Computer Interfaces (17 papers)Advanced Data Processing Techniques (7 papers)Neurological disorders and treatments (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesSensors
In The Last Decade
Alexei A. Morozov
67 papers receiving 459 citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 135
- Biomedical Engineering 91
- Control and Systems Engineering 88
- Cellular and Molecular Neuroscience 72
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by Alexei A. Morozov
This map shows the geographic impact of Alexei A. Morozov'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 Alexei A. Morozov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei A. Morozov more than expected).
Fields of papers citing papers by Alexei A. Morozov
This network shows the impact of papers produced by Alexei A. Morozov. 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 Alexei A. Morozov. The network helps show where Alexei A. Morozov may publish in the future.
Co-authorship network of co-authors of Alexei A. Morozov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexei A. Morozov. A scholar is included among the top collaborators of Alexei A. Morozov 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 Alexei A. Morozov. Alexei A. Morozov 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 | 1 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | A Translator of Actor Prolog to Java. | 5 |
| 18 | An Approach to the Intelligent Monitoring of Anomalous Human Behaviour Based on the Actor Prolog Object-Oriented Logic Language. | 2 |
| 19 | [FREQUENCY-TEMPORAL STRUCTURE OF HUMAN ELECTROENCEPHALOGRAM IN THE CONDITION OF ARTIFICIAL HYPOGRAVITY: DRY IMMERSION MODEL]. | 5 |
| 20 | 20 |
About Alexei A. Morozov
Alexei A. Morozov is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Neurology, having authored 77 papers that have together received 479 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Advanced Data Processing Techniques (7 papers) and Neurological disorders and treatments (7 papers). The work is most often cited by research in Cognitive Neuroscience (135 citations), Automotive Engineering (61 citations) and Cellular and Molecular Neuroscience (72 citations). Alexei A. Morozov has collaborated with scholars based in Russia, Canada and Sweden. Frequent co-authors include Jorge Angeles, Ting Zou, Yu. V. Obukhov, Oscar M. Navarro, Albert Dipandà, Tatiana A. Stroganova, Elena V. Orekhova, Andrey O. Prokofyev, M. M. Tsetlin and I. N. Posikera. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences 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.