Jaroslav Hlinka
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Global and Planetary Change top 5%
- Statistical and Nonlinear Physics top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Milan PalušMartin VejmelkaDavid HartmanDorothee P. AuerNikola JajcayRobert A. DineenCris S. ConstantinescuPaul S. Morgan
- Topics
- Functional Brain Connectivity Studies (42 papers)Neural dynamics and brain function (35 papers)Advanced Neuroimaging Techniques and Applications (16 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsRadiology, Nuclear Medicine and Imaging
- Partner nations
- CzechiaGermanyUnited Kingdom
In The Last Decade
Jaroslav Hlinka
82 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 148
- Cognitive Neuroscience 1.2k
- Radiology, Nuclear Medicine and Imaging 396
- Global and Planetary Change 320
- Statistical and Nonlinear Physics 308
- Pathology and Forensic Medicine 238
Countries citing papers authored by Jaroslav Hlinka
This map shows the geographic impact of Jaroslav Hlinka'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 Jaroslav Hlinka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaroslav Hlinka more than expected).
Fields of papers citing papers by Jaroslav Hlinka
This network shows the impact of papers produced by Jaroslav Hlinka. 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 Jaroslav Hlinka. The network helps show where Jaroslav Hlinka may publish in the future.
Co-authorship network of co-authors of Jaroslav Hlinka
This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslav Hlinka. A scholar is included among the top collaborators of Jaroslav Hlinka 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 Jaroslav Hlinka. Jaroslav Hlinka 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 9 | |
| 17 | 39 | |
| 18 | 4 | |
| 19 | Non-linear contributions to interactions in climate networks: sources, relevance, nonstationarity | 0 |
| 20 | 141 |
About Jaroslav Hlinka
Jaroslav Hlinka is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (42 papers), Neural dynamics and brain function (35 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Statistical and Nonlinear Physics (308 citations) and Radiology, Nuclear Medicine and Imaging (396 citations). Jaroslav Hlinka has collaborated with scholars based in Czechia, Germany and United Kingdom. Frequent co-authors include Milan Paluš, Martin Vejmelka, David Hartman, Dorothee P. Auer, Nikola Jajcay, Robert A. Dineen, Cris S. Constantinescu, Paul S. Morgan, Janek Vilisaar and Dante Mantini. Their work appears in journals such as Physical Review Letters, Nature Communications and Nature Neuroscience.
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.