Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
MaZda—A software package for image texture analysis
2008561 citationsPiotr M. Szczypiński, Michał Strzelecki et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michał Strzelecki
Since
Specialization
Citations
This map shows the geographic impact of Michał Strzelecki'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 Michał Strzelecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Strzelecki more than expected).
Fields of papers citing papers by Michał Strzelecki
This network shows the impact of papers produced by Michał Strzelecki. 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 Michał Strzelecki. The network helps show where Michał Strzelecki may publish in the future.
Co-authorship network of co-authors of Michał Strzelecki
This figure shows the co-authorship network connecting the top 25 collaborators of Michał Strzelecki.
A scholar is included among the top collaborators of Michał Strzelecki 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 Michał Strzelecki. Michał Strzelecki is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Strzelecki, Michał & Andrzej Materka. (2014). On sensitivity of texture parameters to smooth variations of local image intensity and contrast. 48–53.2 indexed citations
10.
Materka, Andrzej & Michał Strzelecki. (2013). On the importance of MRI nonuniformity correction for texture analysis. 118–123.16 indexed citations
11.
Strzelecki, Michał, et al.. (2011). Implementation of the parallel digital processor for image analysis using FPGA technology. Elektronika : konstrukcje, technologie, zastosowania. 52. 68–71.
12.
Strzelecki, Michał, et al.. (2011). Parallel digital image processor implemented in FPGA technology. 1–4.
13.
Strzelecki, Michał, et al.. (2010). FPGA implementation of parallel digital image processor. 25–28.3 indexed citations
14.
Strzelecki, Michał, et al.. (2010). Architecture of image analysis system for implementing parallel digital image processor. Elektronika : konstrukcje, technologie, zastosowania. 51. 90–93.
15.
Strzelecki, Michał, et al.. (2010). Ocena metody zbiorów poziomicowych stosowanych do segmentacji trójwymiarowych obrazów fantomów cyfrowych oraz obrazów naczyń krwionośnych mózgu TOF-SWI rezonansu magnetycznego. 16. 167–172.1 indexed citations
16.
Strzelecki, Michał, et al.. (2009). Digital network of labelled nodes for image processing. Elektronika : konstrukcje, technologie, zastosowania. 50. 46–50.1 indexed citations
17.
Strzelecki, Michał, et al.. (2008). Network of synchronized oscillators - digital approach. 161–164.1 indexed citations
18.
Strzelecki, Michał, et al.. (2006). Application of coupled neural oscillators for image texture segmentation and modeling of biological rhythms. International Journal of Applied Mathematics and Computer Science. 16(4). 513–523.4 indexed citations
19.
Kowalski, J., Michał Strzelecki, & Alexis De Vos. (2004). Relaxation oscillator circuit design for image segmentation. Ghent University Academic Bibliography (Ghent University).2 indexed citations
20.
Kowalski, J., Michał Strzelecki, & Alexis De Vos. (1999). Kohonen neural network chip: preliminary results of circuit test.. Ghent University Academic Bibliography (Ghent University).1 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.