Zbyněk Koldovský
- Signal Processing top 0.5%
- Computational Mechanics top 5%
- Analytical Chemistry top 2%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Petr TichavskýErkki OjaJiří MálekFrancesco NestaArie YeredorAnh Huy PhanGermán Gómez-HerreroSharon Gannot
- Topics
- Blind Source Separation Techniques (63 papers)Speech and Audio Processing (54 papers)Advanced Adaptive Filtering Techniques (36 papers)
- Partner nations
- CzechiaUnited StatesIsrael
In The Last Decade
Zbyněk Koldovský
72 papers receiving 999 citations
Peers
Comparison fields: 5 of 61
- Signal Processing 943
- Computational Mechanics 330
- Analytical Chemistry 265
- Artificial Intelligence 202
- Cognitive Neuroscience 190
Countries citing papers authored by Zbyněk Koldovský
This map shows the geographic impact of Zbyněk Koldovský'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 Zbyněk Koldovský with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zbyněk Koldovský more than expected).
Fields of papers citing papers by Zbyněk Koldovský
This network shows the impact of papers produced by Zbyněk Koldovský. 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 Zbyněk Koldovský. The network helps show where Zbyněk Koldovský may publish in the future.
Co-authorship network of co-authors of Zbyněk Koldovský
This figure shows the co-authorship network connecting the top 25 collaborators of Zbyněk Koldovský. A scholar is included among the top collaborators of Zbyněk Koldovský 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 Zbyněk Koldovský. Zbyněk Koldovský 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 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 13 | |
| 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 | Fast and accurate methods of independent component analysis: A Survey. | 16 |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 39 | |
| 18 | 1 | |
| 19 | 220 | |
| 20 | 1 |
About Zbyněk Koldovský
Zbyněk Koldovský is a scholar working on Computational Mathematics, Signal Processing and Analytical Chemistry, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (63 papers), Speech and Audio Processing (54 papers) and Advanced Adaptive Filtering Techniques (36 papers). The work is most often cited by research in Computational Mathematics (68 citations), Signal Processing (943 citations) and Analytical Chemistry (265 citations). Zbyněk Koldovský has collaborated with scholars based in Czechia, United States and Israel. Frequent co-authors include Petr Tichavský, Erkki Oja, Jiří Málek, Francesco Nesta, Arie Yeredor, Anh Huy Phan, Germán Gómez-Herrero, Sharon Gannot, Andrzej Cichocki and Vicente Zarzoso. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing and IEEE Signal Processing Letters.
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.