This map shows the geographic impact of S. Osowski'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 S. Osowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Osowski more than expected).
This network shows the impact of papers produced by S. Osowski. 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 S. Osowski. The network helps show where S. Osowski may publish in the future.
Co-authorship network of co-authors of S. Osowski
This figure shows the co-authorship network connecting the top 25 collaborators of S. Osowski.
A scholar is included among the top collaborators of S. Osowski 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 S. Osowski. S. Osowski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Osowski, S., et al.. (2014). Badanie jakości predykcji obciążeń elektroenergetycznych za pomocą sieci neuronowych SVM, RBF i MLP. PRZEGLĄD ELEKTROTECHNICZNY. 148–151.3 indexed citations
Kruk, Michał, S. Osowski, Wojciech Kozłowski, et al.. (2013). Computer-assisted Fuhrman grading system for the analysis of clear-cell renal carcinoma: a pilot study. PRZEGLĄD ELEKTROTECHNICZNY.1 indexed citations
6.
Kruk, Michał, S. Osowski, & Robert Koktysz. (2011). Numerical characterization of the images of prostate cancer for recognition of Gleason scale. PRZEGLĄD ELEKTROTECHNICZNY. 81–83.1 indexed citations
7.
Siwek, Krzysztof, S. Osowski, & Bartosz Świderski. (2011). Trend elimination of time series of 24-hour load demand in the power system and its application in power forecasting power system and its application in power forecasting. PRZEGLĄD ELEKTROTECHNICZNY. 249–253.
Osowski, S., Jarosław Kurek, & Krzysztof Siwek. (2010). Computerised system for fault diagnosis of the rotor bars of squirrel-cage induction motor. Problemy Eksploatacji. 135–151.1 indexed citations
10.
Kruk, Michał & S. Osowski. (2010). Segmentacja i parametryzacja struktur histologicznych w obrazach mikroskopowych prostaty dla oceny skali Gleasona. PRZEGLĄD ELEKTROTECHNICZNY. 5–9.1 indexed citations
11.
Kurek, Jarosław & S. Osowski. (2010). Diagnostic feature selection for efficient recognition of different faults of rotor bars in the induction machine. PRZEGLĄD ELEKTROTECHNICZNY. 121–123.7 indexed citations
12.
Osowski, S.. (2009). Sztuczne sieci neuronowe - podstawowe struktury sieciowe i algorytmy uczące. PRZEGLĄD ELEKTROTECHNICZNY. 1–8.3 indexed citations
Markiewicz, Tomasz, et al.. (2009). Application of SVM for cell recognition in BCC skin pathology.. The European Symposium on Artificial Neural Networks.
15.
Markiewicz, Tomasz & S. Osowski. (2008). Morphological operations for blood cells extraction from the image of the bone marrow smear. PRZEGLĄD ELEKTROTECHNICZNY. 24–26.1 indexed citations
16.
Markiewicz, Tomasz & S. Osowski. (2006). Data mining techniques for feature selection in blood cell recognition. The European Symposium on Artificial Neural Networks. 407–412.12 indexed citations
17.
Osowski, S., Krzysztof Siwek, & Tomasz Markiewicz. (2004). MLP and SVM networks - a comparative study. 37–40.51 indexed citations
18.
Sałat, Robert, S. Osowski, & Krzysztof Siwek. (2003). Principal component analysis (PCA) for feature selection at the diagnosis of electrical circuits. PRZEGLĄD ELEKTROTECHNICZNY. 79(10). 667–670.4 indexed citations
19.
Linh, Trần Hoài & S. Osowski. (2002). Neuro-fuzzy TSK network for approximation of static and dynamic functions. Control and Cybernetics. 31(2). 309–326.5 indexed citations
20.
Osowski, S.. (2002). Sieci neuronowe typu SVM w zastosowaniu do klasyfikacji wzorców. PRZEGLĄD ELEKTROTECHNICZNY. 29–36.4 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.