This map shows the geographic impact of M. Perzyk'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. Perzyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Perzyk more than expected).
This network shows the impact of papers produced by M. Perzyk. 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. Perzyk. The network helps show where M. Perzyk may publish in the future.
Co-authorship network of co-authors of M. Perzyk
This figure shows the co-authorship network connecting the top 25 collaborators of M. Perzyk.
A scholar is included among the top collaborators of M. Perzyk 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. Perzyk. M. Perzyk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Perzyk, M., et al.. (2013). AN EXPERT SYSTEM FOR SUPPORTING THE PRODUCTION OF PLEASURE BOATS. SHILAP Revista de lepidopterología.2 indexed citations
5.
Perzyk, M., et al.. (2011). Application of time-series analysis for prediction of molding sand properties in production cycle. SHILAP Revista de lepidopterología.3 indexed citations
6.
Perzyk, M., et al.. (2011). Modeling of feeding of grey iron castings. Archives of Foundry Engineering. 187–193.1 indexed citations
7.
Perzyk, M., et al.. (2011). Automatic inspection of surface defects in die castings after machining. Archives of Foundry Engineering.11 indexed citations
8.
Perzyk, M., et al.. (2010). Applications of rough sets theory in control of foundry processes. Archives of Metallurgy and Materials. 889–898.2 indexed citations
9.
Krawiec, Krzysztof, et al.. (2009). Application of time-series analysis in foundry production. SHILAP Revista de lepidopterología.9 indexed citations
10.
Perzyk, M., et al.. (2008). Comparison of selected tools for generation of knowledge for foundry production. Archives of Foundry Engineering. 163–166.3 indexed citations
11.
Perzyk, M., et al.. (2008). Possibilities of decision trees applications for improvement of quality and economics of foundry production. Archives of Foundry Engineering.5 indexed citations
12.
Perzyk, M.. (2007). Statistical and Visualization Data Mining Tools for Foundry Production. Archives of Foundry Engineering. 111–116.13 indexed citations
13.
Perzyk, M., et al.. (2007). Mechanisms and mechanics of porosity formation in ductile iron castings. Archives of Foundry Engineering. 147–150.1 indexed citations
14.
Biernacki, R.M., et al.. (2006). Modelowanie rozkładu stopnia zagęszczenia masy formierskiej z wykorzystaniem systemów uczących się. Archiwum Odlewnictwa.1 indexed citations
15.
Perzyk, M., et al.. (2006). Prediction of properties of austempered ductile iron assisted by artificial neural network.5 indexed citations
16.
Perzyk, M., et al.. (2004). Zaawansowane metody statystyczne w sterowaniu procesami produkcyjnymi. Archiwum Odlewnictwa.1 indexed citations
17.
Biernacki, R.M., et al.. (2004). Zastosowanie systemów uczących się do przewidywania własności materiałów odlewanych. Archiwum Odlewnictwa. 249–258.
18.
Perzyk, M., et al.. (2004). Modelowanie procesów produkcyjnych za pomocą naiwnego klasyfikatora Bayesa i sztucznych sieci neuronowych. 98–104.
19.
Perzyk, M., et al.. (2002). Identyfikacja przyczyn wady porowatości w odlewach staliwnych z wykorzystaniem sztucznych sieci neuronowych. Archiwum Odlewnictwa.1 indexed citations
20.
Perzyk, M., et al.. (2001). Modelling of foundary processes by artificial neural networks.. Postępy Technologii Maszyn i Urządzeń. 25. 7–19.1 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.