Countries citing papers authored by Adam Kowalczyk
Since
Specialization
Citations
This map shows the geographic impact of Adam Kowalczyk'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 Adam Kowalczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Kowalczyk more than expected).
This network shows the impact of papers produced by Adam Kowalczyk. 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 Adam Kowalczyk. The network helps show where Adam Kowalczyk may publish in the future.
Co-authorship network of co-authors of Adam Kowalczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Kowalczyk.
A scholar is included among the top collaborators of Adam Kowalczyk 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 Adam Kowalczyk. Adam Kowalczyk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hanus, Robert, et al.. (2011). Generowanie sygnałów stochastycznych o zadanych charakterystykach statystycznych w badaniach metod estymacji czasu opóźnienia. Pomiary, Automatyka, Kontrola. 172–174.
7.
Kowalczyk, Adam, et al.. (2011). Zastosowanie warunkowego uśredniania do wyznaczania interwału korelacji sygnału stochastycznego. Pomiary, Automatyka, Kontrola. 1555–1557.
8.
Kowalczyk, Adam, et al.. (2010). Zastosowanie warunkowego uśredniania sygnałów do pomiaru opóźnienia transportowego. PRZEGLĄD ELEKTROTECHNICZNY. 225–228.2 indexed citations
9.
Kowalczyk, Adam, et al.. (2009). Badanie dokładności estymacji odpowiedzi impulsowej wykorzystującej warunkowe uśrednianie sygnałów. Pomiary Automatyka Kontrola. 981–984.1 indexed citations
10.
Kowalczyk, Adam. (2008). Klasyczna metoda wyznaczania właściwości dynamicznych systemów liniowych z wykorzystaniem warunkowego uśredniania sygnałów. Pomiary, Automatyka, Kontrola. 820–823.3 indexed citations
11.
Kowalczyk, Adam, et al.. (2006). Zastosowanie warunkowego uśredniania sygnałów w pomiarach kąta przesunięcia fazowego. Pomiary, Automatyka, Kontrola. 14–17.
Hanus, Robert & Adam Kowalczyk. (2003). Analiza błędów estymatorów wybranych statystycznych metod pomiaru opóźnienia transportowego. Pomiary Automatyka Kontrola. 8–11.3 indexed citations
14.
Kowalczyk, Adam. (2000). Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out Estimator. neural information processing systems. 13. 252–258.1 indexed citations
15.
Kowalczyk, Adam, et al.. (1996). MLP Can Provably Generalize Much Better than VC-bounds Indicate. neural information processing systems. 9. 190–196.
16.
Kowalczyk, Adam, et al.. (1995). Examples of learning curves from a modified VC-formalism. neural information processing systems. 8. 344–350.2 indexed citations
17.
Kowalczyk, Adam, et al.. (1994). Generalisation in Feedforward Networks. Neural Information Processing Systems. 7. 215–222.3 indexed citations
18.
Kowalczyk, Adam. (1993). Counting function theorem for multi-layer networks. Neural Information Processing Systems. 6. 375–382.4 indexed citations
19.
Kowalczyk, Adam. (1992). Some Estimates of Necessary Number of Connections and Hidden Units for Feed-Forward Networks. Neural Information Processing Systems. 5. 639–646.2 indexed citations
20.
Kowalczyk, Adam, et al.. (1991). Discovering production rules with higher order neural networks. International Conference on Machine Learning. 158–162.1 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.