M. Pawlak

4.0k total citations
125 papers, 2.6k citations indexed

About

M. Pawlak is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, M. Pawlak has authored 125 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 42 papers in Control and Systems Engineering and 22 papers in Artificial Intelligence. Recurrent topics in M. Pawlak's work include Control Systems and Identification (38 papers), Fault Detection and Control Systems (29 papers) and Image and Signal Denoising Methods (29 papers). M. Pawlak is often cited by papers focused on Control Systems and Identification (38 papers), Fault Detection and Control Systems (29 papers) and Image and Signal Denoising Methods (29 papers). M. Pawlak collaborates with scholars based in Canada, Poland and Germany. M. Pawlak's co-authors include Włodzimierz Greblicki, S.X. Liao, Adam Krzyżak, Yongqing Xin, Zygmunt Hasiewicz, Ewaryst Rafajłowicz, Simon Liao, U.D. Annakkage, Ulrich Stadtmüller and Mohammad Jafari Jozani and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

M. Pawlak

117 papers receiving 2.4k citations

Peers

M. Pawlak

CVPR

CSE

AI

EEE

SP

Mario Sznaier United States

G.L. Wise United States

Min Gan China

Chongzhao Han China

Anı́bal R. Figueiras-Vidal Spain

Bharath K. Sriperumbudur United States

H. Hindi United States

P. Tseng United States

Luc Jaulin France

Ingo Steinwart United States

Mario Sznaier United States

M. Pawlak

869 ×0.7

CVPR

2.2k ×2.4

CSE

532 ×1.1

AI

205 ×0.8

EEE

51 ×0.2

SP

Citations per year, relative to M. Pawlak M. Pawlak (= 1×) peers Mario Sznaier

Countries citing papers authored by M. Pawlak

Since Specialization

Citations

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

Fields of papers citing papers by M. Pawlak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Pawlak

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

All Works

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20 of 20 papers shown

1.

Gabryel, Marcin, et al.. (2024). Accelerating User Profiling in E-Commerce Using Conditional GAN Networks for Synthetic Data Generation. Journal of Artificial Intelligence and Soft Computing Research. 14(4). 309–319. 2 indexed citations

2.

Bibrzycki, Łukasz, et al.. (2023). Differentiating signal from artefacts in cosmic ray detection: Applying Siamese spiking neural networks to CREDO experimental data. Measurement. 220. 113273–113273. 2 indexed citations

3.

Pawlak, M., et al.. (2022). Nonparametric Testing for Hammerstein Systems. IEEE Transactions on Automatic Control. 67(9). 4568–4584. 4 indexed citations

4.

Jozani, Mohammad Jafari, et al.. (2021). A Multilevel Modeling Approach Towards Wind Farm Aggregated Power Curve. IEEE Transactions on Sustainable Energy. 12(4). 2230–2237. 14 indexed citations

5.

Pawlak, M., et al.. (2020). Power System Oscillation Mode Prediction Based on the Lasso Method. IEEE Access. 8. 101068–101078. 9 indexed citations

6.

Greblicki, Włodzimierz & M. Pawlak. (2017). Hammerstein System Identification With the Nearest Neighbor Algorithm. IEEE Transactions on Information Theory. 63(8). 4746–4757. 20 indexed citations

7.

Pawlak, M., et al.. (2010). On identification of multivariate Hammerstein systems. 81. 1–4. 1 indexed citations

8.

Pawlak, M. & Ewaryst Rafajłowicz. (2009). Quasi-random sampling for signal recovery. Nonlinear Analysis. 71(10). 4357–4363. 1 indexed citations

9.

Rafajłowicz, Ewaryst, M. Pawlak, & Ansgar Steland. (2008). Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression. International Journal of Applied Mathematics and Computer Science. 18(1). 49–61. 12 indexed citations

10.

Pawlak, M.. (2008). The application of PHP sripts for the extraction of information from newspaper announcements. 83–93. 1 indexed citations

11.

Pawlak, M. & Ulrich Stadtmüller. (2007). Signal Sampling and Recovery Under Dependent Errors. IEEE Transactions on Information Theory. 53(7). 2526–2541. 7 indexed citations

12.

Xin, Yongqing, S.X. Liao, & M. Pawlak. (2005). On the improvement of rotational invariance of Zernike moments. II–842. 8 indexed citations

13.

Rafajłowicz, Ewaryst, Adam Krzyżak, & M. Pawlak. (2002). On restoration of band-limited signals from noisy observations. 127–127.

14.

Hasiewicz, Zygmunt & M. Pawlak. (2000). NONLINEAR SYSTEM IDENTIFICATION VIA WAVELET EXPANSIONS. 4 indexed citations

15.

Pawlak, M. & Ewaryst Rafajłowicz. (1994). On restoring band-limited signals. IEEE Transactions on Information Theory. 40(5). 1490–1503. 16 indexed citations

16.

Greblicki, Włodzimierz & M. Pawlak. (1992). Nonparametric identification of a particular nonlinear time series system. IEEE Transactions on Signal Processing. 40(4). 985–989. 13 indexed citations

17.

Pawlak, M.. (1992). On the reconstruction aspects of moment descriptors. IEEE Transactions on Information Theory. 38(6). 1698–1708. 60 indexed citations

18.

Pawlak, M.. (1991). On the almost everywhere properties of the kernel regression estimate. Annals of the Institute of Statistical Mathematics. 43(2). 311–326. 7 indexed citations

19.

Greblicki, Włodzimierz & M. Pawlak. (1987). Necessary and sufficient consistency conditions for a recursive kernel regression estimate. Journal of Multivariate Analysis. 23(1). 67–76. 23 indexed citations

20.

Greblicki, Włodzimierz & M. Pawlak. (1982). A classification procedure using the multiple Fourier series. Information Sciences. 26(2). 115–126. 8 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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