Ivan Volosyak
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Electrical and Electronic Engineering top 10%
- Human-Computer Interaction top 0.5%
- Signal Processing top 5%
- Co-authors
- Axel GräserOla FrimanPiotr StawickiFelix GemblerDiana ValbuenaThorsten LüthAya RezeikaMihaly Benda
- Topics
- EEG and Brain-Computer Interfaces (55 papers)Neuroscience and Neural Engineering (44 papers)Gaze Tracking and Assistive Technology (22 papers)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Ivan Volosyak
57 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 2.1k
- Cellular and Molecular Neuroscience 1.4k
- Electrical and Electronic Engineering 585
- Human-Computer Interaction 577
- Signal Processing 211
Countries citing papers authored by Ivan Volosyak
This map shows the geographic impact of Ivan Volosyak'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 Ivan Volosyak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Volosyak more than expected).
Fields of papers citing papers by Ivan Volosyak
This network shows the impact of papers produced by Ivan Volosyak. 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 Ivan Volosyak. The network helps show where Ivan Volosyak may publish in the future.
Co-authorship network of co-authors of Ivan Volosyak
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Volosyak. A scholar is included among the top collaborators of Ivan Volosyak 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 Ivan Volosyak. Ivan Volosyak 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 | 2 | |
| 4 | 25 | |
| 5 | 11 | |
| 6 | 23 | |
| 7 | 26 | |
| 8 | 253 | |
| 9 | 7 | |
| 10 | 34 | |
| 11 | 144 | |
| 12 | Towards an SSVEP Based BCI With High ITR | 7 |
| 13 | 169 | |
| 14 | A novel calibration method for SSVEP based brain-computer interfaces | 7 |
| 15 | 257 | |
| 16 | 47 | |
| 17 | 54 | |
| 18 | 23 | |
| 19 | 58 | |
| 20 | Task Execution with the Rehabilitation Robotic System FRIEND II in Intelligent Home Environment | 4 |
About Ivan Volosyak
Ivan Volosyak is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (55 papers), Neuroscience and Neural Engineering (44 papers) and Gaze Tracking and Assistive Technology (22 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Human-Computer Interaction (577 citations) and Cellular and Molecular Neuroscience (1.4k citations). Ivan Volosyak has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Axel Gräser, Ola Friman, Piotr Stawicki, Felix Gembler, Diana Valbuena, Thorsten Lüth, Aya Rezeika, Mihaly Benda, Abdul Saboor and Brendan Z. Allison. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Biomedical Engineering.
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.