Radoslaw Mazur

647 total citations
36 papers, 435 citations indexed

About

Radoslaw Mazur is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Radoslaw Mazur has authored 36 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Signal Processing, 16 papers in Computational Mechanics and 10 papers in Cognitive Neuroscience. Recurrent topics in Radoslaw Mazur's work include Speech and Audio Processing (31 papers), Advanced Adaptive Filtering Techniques (14 papers) and Music and Audio Processing (10 papers). Radoslaw Mazur is often cited by papers focused on Speech and Audio Processing (31 papers), Advanced Adaptive Filtering Techniques (14 papers) and Music and Audio Processing (10 papers). Radoslaw Mazur collaborates with scholars based in Germany, United Kingdom and Canada. Radoslaw Mazur's co-authors include Alfred Mertins, Huy Phan, Marco Maaß, Philipp Koch, Lars Hertel, Karl‐Heinz Pennemann, Marco Eissen, Ian McLoughlin, P. Wilson and José R. Martí and has published in prestigious journals such as The Journal of the Acoustical Society of America, Helvetica Chimica Acta and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Radoslaw Mazur

34 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Radoslaw Mazur Germany 11 334 111 92 85 79 36 435
Yun Lu China 12 69 0.2× 29 0.3× 73 0.8× 57 0.7× 121 1.5× 40 381
Juan M. Martín-Doñas Spain 7 232 0.7× 51 0.5× 160 1.7× 47 0.6× 58 0.7× 20 306
Yu Takahashi Japan 14 526 1.6× 359 3.2× 94 1.0× 43 0.5× 46 0.6× 69 624
Ngoc Q. K. Duong France 11 599 1.8× 285 2.6× 98 1.1× 86 1.0× 57 0.7× 30 657
Zhaozhang Jin United States 8 383 1.1× 106 1.0× 201 2.2× 31 0.4× 83 1.1× 10 401
Aditya Arie Nugraha Japan 10 617 1.8× 206 1.9× 301 3.3× 44 0.5× 46 0.6× 31 676
Robert Aichner Germany 17 744 2.2× 480 4.3× 203 2.2× 47 0.6× 78 1.0× 33 822
Ascension Vizinho United Kingdom 6 419 1.3× 69 0.6× 283 3.1× 43 0.5× 96 1.2× 7 479
Miquel Espi Japan 5 268 0.8× 70 0.6× 158 1.7× 28 0.3× 25 0.3× 13 295
Wouter Tirry Belgium 13 279 0.8× 149 1.3× 109 1.2× 38 0.4× 82 1.0× 23 299

Countries citing papers authored by Radoslaw Mazur

Since Specialization
Citations

This map shows the geographic impact of Radoslaw Mazur'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 Radoslaw Mazur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radoslaw Mazur more than expected).

Fields of papers citing papers by Radoslaw Mazur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radoslaw Mazur. 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 Radoslaw Mazur. The network helps show where Radoslaw Mazur may publish in the future.

Co-authorship network of co-authors of Radoslaw Mazur

This figure shows the co-authorship network connecting the top 25 collaborators of Radoslaw Mazur. A scholar is included among the top collaborators of Radoslaw Mazur 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 Radoslaw Mazur. Radoslaw Mazur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mazur, Radoslaw, et al.. (2018). A Compressed Sensing Framework for Dynamic Sound-Field Measurements. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(11). 1962–1975. 12 indexed citations
2.
Mazur, Radoslaw, et al.. (2018). Spatial Interpolation of Room Impulse Responses Using Compressed Sensing. 6 indexed citations
3.
Mazur, Radoslaw, et al.. (2017). Multigrid reconstruction of sound fields using moving microphones. 24. 191–195. 3 indexed citations
4.
Phan, Huy, Lars Hertel, Marco Maaß, et al.. (2017). Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(6). 1278–1290. 44 indexed citations
5.
Mazur, Radoslaw, et al.. (2017). Room equalization based on measurements with moving microphones. Kent Academic Repository (University of Kent). 37. 121–125. 1 indexed citations
6.
Phan, Huy, Philipp Koch, Lars Hertel, et al.. (2017). CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification. Kent Academic Repository (University of Kent). 136–140. 7 indexed citations
7.
Phan, Huy, Lars Hertel, Marco Maaß, Radoslaw Mazur, & Alfred Mertins. (2015). Representing nonspeech audio signals through speech classification models. 3441–3445. 4 indexed citations
8.
Phan, Huy, Marco Maaß, Radoslaw Mazur, & Alfred Mertins. (2015). Early event detection in audio streams. Kent Academic Repository (University of Kent). 1–6. 8 indexed citations
9.
Phan, Huy, Lars Hertel, Marco Maaß, Radoslaw Mazur, & Alfred Mertins. (2015). Audio phrases for audio event recognition. Kent Academic Repository (University of Kent). 2546–2550. 4 indexed citations
10.
Phan, Huy, et al.. (2014). Random Regression Forests for Acoustic Event Detection and Classification. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(1). 20–31. 84 indexed citations
11.
Phan, Huy, Marco Maaß, Radoslaw Mazur, & Alfred Mertins. (2014). Acoustic event detection and localization with regression forests. 2524–2528. 6 indexed citations
12.
Mazur, Radoslaw, et al.. (2014). Joint time-domain reshaping and frequency-domain equalization of room impulse responses. 37. 6642–6646. 6 indexed citations
13.
Mazur, Radoslaw, et al.. (2013). Optimized dyadic sorting for solving the permutation ambiguity in acoustic blind source separation. European Signal Processing Conference. 1–5.
14.
Mazur, Radoslaw & Alfred Mertins. (2011). A sparsity based criterion for solving the permutation ambiguity in convolutive blind source separation. 1996–1999. 9 indexed citations
15.
Mazur, Radoslaw, et al.. (2011). Robust combined crosstalk cancellation and listening-room compensation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 9–12. 5 indexed citations
16.
Mazur, Radoslaw & Alfred Mertins. (2009). Simplified Formulation Of A Depermutation Criterion In Convolutive Blind Source Separation. Zenodo (CERN European Organization for Nuclear Research). 1467–1470. 3 indexed citations
17.
Mazur, Radoslaw & Alfred Mertins. (2009). Using the scaling ambiguity for filter shortening in convolutive blind source separation. 5. 1709–1712. 8 indexed citations
18.
Mazur, Radoslaw & Alfred Mertins. (2009). An Approach for Solving the Permutation Problem of Convolutive Blind Source Separation Based on Statistical Signal Models. IEEE Transactions on Audio Speech and Language Processing. 17(1). 117–126. 27 indexed citations
19.
Mazur, Radoslaw & Alfred Mertins. (2008). On separation performance enhancement in convolutive blind source separation. 8. 1718–1721.
20.
Eissen, Marco, et al.. (2004). Atom Economy and Yield of Synthesis Sequences. Helvetica Chimica Acta. 87(2). 524–535. 37 indexed citations

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.

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