Countries citing papers authored by Tomasz Talaśka
Since
Specialization
Citations
This map shows the geographic impact of Tomasz Talaśka'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 Tomasz Talaśka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Talaśka more than expected).
This network shows the impact of papers produced by Tomasz Talaśka. 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 Tomasz Talaśka. The network helps show where Tomasz Talaśka may publish in the future.
Co-authorship network of co-authors of Tomasz Talaśka
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Talaśka.
A scholar is included among the top collaborators of Tomasz Talaśka 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 Tomasz Talaśka. Tomasz Talaśka is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Długosz, Rafał, Tomasz Talaśka, Witold Pedrycz, & Pierre-André Farine. (2012). Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology. The European Symposium on Artificial Neural Networks.1 indexed citations
12.
Długosz, Rafał, Tomasz Talaśka, Pierre-André Farine, & Witold Pedrycz. (2012). Convex combination initialization method for kohonen neural network implemented in the CMOS technology. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 227–230.2 indexed citations
13.
Długosz, Rafał, et al.. (2010). An influence of current-leakage in analog memory on training Kohonen neural network implemented on silicon. PRZEGLĄD ELEKTROTECHNICZNY. 86. 146–150.1 indexed citations
14.
Talaśka, Tomasz, et al.. (2010). Kohonen winner takes all neural network realized on microcontrollers with AVR and ARM cores. International Conference Mixed Design of Integrated Circuits and Systems. 273–276.4 indexed citations
15.
Długosz, Rafał & Tomasz Talaśka. (2010). A power-efficient, current-mode, binary-tree min / max circuit for Kohonen self-organizing feature maps and nonlinear filters. PRZEGLĄD ELEKTROTECHNICZNY. 86. 237–241.5 indexed citations
Długosz, Rafał & Tomasz Talaśka. (2009). A low power current-mode binary-tree WTA / LTA circuit for Kohonen neural networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 201–204.4 indexed citations
18.
Talaśka, Tomasz & Rafał Długosz. (2008). Initialization Mechanism in Kohonen Neural Network Implemented in CMOS Technology. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 337–342.9 indexed citations
Talaśka, Tomasz, et al.. (2006). Transresistance CMOS neuron for adaptive neural networks implemented in hardware. Bulletin of the Polish Academy of Sciences Technical Sciences. 54. 443–448.13 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
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