Viktor Ší́p
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
-
- Functional Brain Connectivity Studies 10
- Neural dynamics and brain function 7
- EEG and Brain-Computer Interfaces 4
-
- Advanced Neuroimaging Techniques and Applications 3
- Co-authors
- Viktor Jirsa (11 shared papers)Fabrice Bartoloméi (8 shared papers)Meysam Hashemi (7 shared papers)Marmaduke Woodman (7 shared papers)Maxime Guye (6 shared papers)Anirudh Nihalani Vattikonda (5 shared papers)Huifang Wang (5 shared papers)Samuel Médina Villalon (3 shared papers)
In The Last Decade
Viktor Ší́p
15 papers receiving 287 citations
Peers
Comparison fields: 5 of 52
- Cognitive Neuroscience 204
- Radiology, Nuclear Medicine and Imaging 73
- Psychiatry and Mental health 44
- Cellular and Molecular Neuroscience 34
- Neurology 16
Countries citing papers authored by Viktor Ší́p
This map shows the geographic impact of Viktor Ší́p'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 Viktor Ší́p with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Ší́p more than expected).
Fields of papers citing papers by Viktor Ší́p
This network shows the impact of papers produced by Viktor Ší́p. 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 Viktor Ší́p. The network helps show where Viktor Ší́p may publish in the future.
Co-authors
The 23 scholars most cited alongside Viktor Ší́p, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 62 | |
| 2 | 2020 | 38 | |
| 3 | 2023 | 38 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 30 | |
| 6 | 2023 | 27 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 11 | |
| 9 | 2016 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2025 | 6 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 1 | |
| 14 | Investigating the Street Canyon Vegetation Effects Using the Moment Method | 2016 | 1 |
| 15 | 2018 | 1 |
About Viktor Ší́p
Viktor Ší́p is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Environmental Engineering, Health, Toxicology and Mutagenesis and Global and Planetary Change, having authored 15 papers that have together received 291 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (4 papers), Wind and Air Flow Studies (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Air Quality and Health Impacts (2 papers), Neuroscience and Neural Engineering (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Cognitive Neuroscience (204 citations), Radiology, Nuclear Medicine and Imaging (73 citations), Psychiatry and Mental health (44 citations), Cellular and Molecular Neuroscience (34 citations) and Neurology (16 citations). Viktor Ší́p has collaborated with scholars based in France, Czechia and Germany. Frequent co-authors include Viktor Jirsa, Fabrice Bartoloméi, Meysam Hashemi, Marmaduke Woodman, Maxime Guye, Anirudh Nihalani Vattikonda, Huifang Wang, Samuel Médina Villalon, Paul Triebkorn and Julia Scholly. Their work appears in journals such as PLoS Computational Biology, IEEE Reviews in Biomedical Engineering, Communications Biology, Neural Networks and Science Advances.
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.