Pavel Rajmic
- Signal Processing top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Control and Systems Engineering
- Co-authors
- Alexey OzerovV. VeselýPeter SøndergaardDarian M. OnchişChristoph WiesmeyrFranz HlawatschMichal ŠorelFlorian Meyer
- Topics
- Image and Signal Denoising Methods (19 papers)Sparse and Compressive Sensing Techniques (11 papers)Speech and Audio Processing (9 papers)
- Partner nations
- CzechiaAustriaUnited States
In The Last Decade
Pavel Rajmic
34 papers receiving 248 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 99
- Electrical and Electronic Engineering 71
- Computer Vision and Pattern Recognition 69
- Computational Mechanics 47
- Control and Systems Engineering 32
Countries citing papers authored by Pavel Rajmic
This map shows the geographic impact of Pavel Rajmic'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 Pavel Rajmic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Rajmic more than expected).
Fields of papers citing papers by Pavel Rajmic
This network shows the impact of papers produced by Pavel Rajmic. 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 Pavel Rajmic. The network helps show where Pavel Rajmic may publish in the future.
Co-authorship network of co-authors of Pavel Rajmic
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Rajmic. A scholar is included among the top collaborators of Pavel Rajmic 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 Pavel Rajmic. Pavel Rajmic 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 | 1 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | REAL-TIME AUDIO PROCESSING VIA SEGMENTED WAVELET TRANSFORM | 3 |
| 19 | 6 | |
| 20 | REMOVING CRACKLE FROM AN LP RECORD VIA WAVELET ANALYSIS | 5 |
About Pavel Rajmic
Pavel Rajmic is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 37 papers that have together received 254 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (19 papers), Sparse and Compressive Sensing Techniques (11 papers) and Speech and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (99 citations), Computer Vision and Pattern Recognition (69 citations) and Computational Mechanics (47 citations). Pavel Rajmic has collaborated with scholars based in Czechia, Austria and United States. Frequent co-authors include Alexey Ozerov, V. Veselý, Peter Søndergaard, Darian M. Onchiş, Christoph Wiesmeyr, Franz Hlawatsch, Michal Šorel, Florian Meyer, Martin Čížek and Olivier Keunen. Their work appears in journals such as Scientific Reports, Magnetic Resonance in Medicine and Signal Processing.
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.