Citations per year, relative to Andrzej Piegat Andrzej Piegat (= 1×)
peers
Sujit Das
Countries citing papers authored by Andrzej Piegat
Since
Specialization
Citations
This map shows the geographic impact of Andrzej Piegat'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 Andrzej Piegat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Piegat more than expected).
This network shows the impact of papers produced by Andrzej Piegat. 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 Andrzej Piegat. The network helps show where Andrzej Piegat may publish in the future.
Co-authorship network of co-authors of Andrzej Piegat
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Piegat.
A scholar is included among the top collaborators of Andrzej Piegat 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 Andrzej Piegat. Andrzej Piegat is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Korzeń, Marcin, et al.. (2017). Differences between the method of mini-models and the k-nearest neighbors on example of modeling of unemployment rate in Poland. CeON Repository (Centre for Evaluation in Education and Science).
Piegat, Andrzej & Marek Landowski. (2014). Specialized, MSE-optimal m-estimators of the rule probability especially suitable for machine learning. Control and Cybernetics. 43(1). 133–160.1 indexed citations
8.
Piegat, Andrzej & Marek Landowski. (2013). Mean square error optimal completeness estimator Eph2 of probability. Applied Computer Science. 7(3). 3–20.1 indexed citations
9.
Piegat, Andrzej & Marek Landowski. (2013). Two Interpretations of Multidimensional RDM Interval Arithmetic-Multiplication and Division. International Journal of Fuzzy Systems. 15(4). 488–496.50 indexed citations
10.
Piegat, Andrzej & Marek Landowski. (2012). Is the conventional interval arithmetic correct. Applied Computer Science. 6(2). 27–44.43 indexed citations
11.
Piegat, Andrzej & Wojciech Sałabun. (2012). Nonlinearity of human multi-criteria in decision-making. Applied Computer Science. 6(3). 36–49.17 indexed citations
12.
Piegat, Andrzej, et al.. (2011). Zastosowanie samouczącego się trzypunktowego minimodelu do modelowania stopy bezrobocia w Polsce. 59–69.1 indexed citations
13.
Korzeń, Marcin, et al.. (2010). Rules induction on child well being. 5–10.
14.
Piegat, Andrzej, et al.. (2009). Czy istnieje optymalna forma eksperckiego modelu rozmytego. 169–178.
15.
Piegat, Andrzej & Marek Landowski. (2009). Surmounting Information Gaps Using Average Probability Density Function. Pomiary, Automatyka, Kontrola. 793–795.
16.
Piegat, Andrzej. (2006). WHAT IS NOT CLEAR IN FUZZY CONTROL SYSTEMS. International Journal of Applied Mathematics and Computer Science. 16(1). 37–49.6 indexed citations
17.
Piegat, Andrzej. (2005). A NEW DEFINITION OF THE FUZZY SET. International Journal of Applied Mathematics and Computer Science. 15(1). 125–140.21 indexed citations
18.
Piegat, Andrzej. (2005). On practical problems with the explanation of the difference between possibility and probability. Control and Cybernetics. 34(2). 505–524.6 indexed citations
19.
Piegat, Andrzej. (1998). Nonregular nonlinear sector modelling. International Journal of Applied Mathematics and Computer Science. 8(3). 611–632.1 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.