Petr Tichavský
- Signal Processing top 0.2%
- Artificial Intelligence top 1%
- Computational Mechanics top 2%
- Aerospace Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Arye NehoraiCarlos H. MuravchikZbyněk KoldovskýAnh Huy PhanAndrzej CichockiErkki OjaArie YeredorPeter Händel
- Topics
- Blind Source Separation Techniques (59 papers)Speech and Audio Processing (33 papers)Tensor decomposition and applications (31 papers)
- Partner nations
- CzechiaJapanUnited States
In The Last Decade
Petr Tichavský
109 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Signal Processing 1.6k
- Artificial Intelligence 1.2k
- Computational Mechanics 607
- Aerospace Engineering 605
- Electrical and Electronic Engineering 533
Countries citing papers authored by Petr Tichavský
This map shows the geographic impact of Petr Tichavský'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 Petr Tichavský with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petr Tichavský more than expected).
Fields of papers citing papers by Petr Tichavský
This network shows the impact of papers produced by Petr Tichavský. 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 Petr Tichavský. The network helps show where Petr Tichavský may publish in the future.
Co-authorship network of co-authors of Petr Tichavský
This figure shows the co-authorship network connecting the top 25 collaborators of Petr Tichavský. A scholar is included among the top collaborators of Petr Tichavský 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 Petr Tichavský. Petr Tichavský 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 | 4 | |
| 6 | Representations of Bayesian networks by low-rank models | 1 |
| 7 | 16 | |
| 8 | Tensor diagonalization - a new tool for PARAFAC and block-term decomposition. | 4 |
| 9 | 84 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | A treatment of EEG data by underdetermined blind source separation for motor imagery classification | 5 |
| 13 | Algorithms for nonorthogonal approximate joint block-diagonalization | 9 |
| 14 | 40 | |
| 15 | Fast and accurate methods of independent component analysis: A Survey. | 16 |
| 16 | 5 | |
| 17 | 39 | |
| 18 | 220 | |
| 19 | Estimation and smoothing of instantaneous frequency of noisy narrow band signals | 1 |
| 20 | Estimating the angles of arrival of multiple plane waves. The statistical performance of the music and the minimum norm algorithms | 1 |
About Petr Tichavský
Petr Tichavský is a scholar working on Computational Mathematics, Signal Processing and Analytical Chemistry, having authored 112 papers that have together received 3.3k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (59 papers), Speech and Audio Processing (33 papers) and Tensor decomposition and applications (31 papers). The work is most often cited by research in Computational Mathematics (429 citations), Signal Processing (1.6k citations) and Artificial Intelligence (1.2k citations). Petr Tichavský has collaborated with scholars based in Czechia, Japan and United States. Frequent co-authors include Arye Nehorai, Carlos H. Muravchik, Zbyněk Koldovský, Anh Huy Phan, Andrzej Cichocki, Erkki Oja, Arie Yeredor, Peter Händel, Kainam Thomas Wong and M.D. Zoltowski. Their work appears in journals such as Geophysical Research Letters, Automatica and IEEE Transactions on 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.