Jaromír Kukal
- Cognitive Neuroscience top 10%
- Molecular Biology
- Biomedical Engineering
- Neurology
- Pathology and Forensic Medicine
- Co-authors
- Oldřich VyšataAleš ProcházkaMartin VališLadislav PazderaRobert RusinaZdeňka KolskáVlastimil RůžičkaMilan Zábranský
- Topics
- Complex Systems and Time Series Analysis (8 papers)Image and Signal Denoising Methods (6 papers)Neural dynamics and brain function (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAnnals of Neurology
In The Last Decade
Jaromír Kukal
71 papers receiving 702 citations
Peers
Comparison fields: 5 of 132
- Cognitive Neuroscience 209
- Molecular Biology 102
- Biomedical Engineering 71
- Neurology 62
- Pathology and Forensic Medicine 57
Countries citing papers authored by Jaromír Kukal
This map shows the geographic impact of Jaromír Kukal'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 Jaromír Kukal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaromír Kukal more than expected).
Fields of papers citing papers by Jaromír Kukal
This network shows the impact of papers produced by Jaromír Kukal. 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 Jaromír Kukal. The network helps show where Jaromír Kukal may publish in the future.
Co-authorship network of co-authors of Jaromír Kukal
This figure shows the co-authorship network connecting the top 25 collaborators of Jaromír Kukal. A scholar is included among the top collaborators of Jaromír Kukal 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 Jaromír Kukal. Jaromír Kukal 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 | 8 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Astronomical systems analysis and object detection | 2 |
| 13 | 2 | |
| 14 | 44 | |
| 15 | 26 | |
| 16 | 7 | |
| 17 | Axial dispersion models and their basic properties | 1 |
| 18 | 55 | |
| 19 | Useful approximation of discrete transcedent transfer function | 3 |
| 20 | 37 |
About Jaromír Kukal
Jaromír Kukal is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Neurology, having authored 75 papers that have together received 723 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (8 papers), Image and Signal Denoising Methods (6 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cognitive Neuroscience (209 citations), Neurology (62 citations) and Radiological and Ultrasound Technology (36 citations). Jaromír Kukal has collaborated with scholars based in Czechia, Austria and Slovakia. Frequent co-authors include Oldřich Vyšata, Aleš Procházka, Martin Vališ, Ladislav Pazdera, Robert Rusina, Zdeňka Kolská, Vlastimil Růžička, Milan Zábranský, Radoslav Matěj and Aleš Bartoš. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Neurology.
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.