Countries citing papers authored by Robert Czabański
Since
Specialization
Citations
This map shows the geographic impact of Robert Czabański'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 Robert Czabański with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Czabański more than expected).
Fields of papers citing papers by Robert Czabański
This network shows the impact of papers produced by Robert Czabański. 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 Robert Czabański. The network helps show where Robert Czabański may publish in the future.
Co-authorship network of co-authors of Robert Czabański
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Czabański.
A scholar is included among the top collaborators of Robert Czabański 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 Robert Czabański. Robert Czabański is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jeżewski, Michał, Robert Czabański, Jacek M. Łęski, & K. Horoba. (2015). A new approach for the clustering using pairs of prototypes. Journal of Medical Informatics & Technologies. 24.2 indexed citations
7.
Horoba, K., Janusz Jeżewski, A. Matonia, et al.. (2015). Analysis of electrical uterine contractile activity for prediction of preterm delivery. Journal of Medical Informatics & Technologies. 24.1 indexed citations
8.
Jeżewski, Michał, Robert Czabański, & Jacek M. Łęski. (2014). The influence of cardiotocogram signal feature selection method on fetal state assessment efficacy. Journal of Medical Informatics & Technologies. 23.5 indexed citations
9.
Horoba, K., et al.. (2014). Design challenges for home telemonitoring of pregnancy as a medical cyber-physical system. Journal of Medical Informatics & Technologies. 23.2 indexed citations
10.
Czabański, Robert, et al.. (2013). An application of the Lp-norm in robust weighted averaging of biomedical signals. Journal of Medical Informatics & Technologies. 22.2 indexed citations
11.
Czabański, Robert, Janusz Wróbel, & Janusz Jeżewski. (2013). Fetal state evaluation with fuzzy analysis of newborn attributes using CUDA architecture. Journal of Medical Informatics & Technologies. 22.1 indexed citations
12.
Czabański, Robert, et al.. (2012). Saccades detection in optokinetic nystagmus - a fuzzy approach. Journal of Medical Informatics & Technologies. 19.2 indexed citations
13.
Czabański, Robert, Dawid Roj, Janusz Jeżewski, K. Horoba, & Michał Jeżewski. (2011). Fuzzy prediction of fetal acidemia. Journal of Medical Informatics & Technologies. 17.1 indexed citations
14.
Czabański, Robert, et al.. (2010). Evaluation of predictive capabilities of quantitative cardiotocographic signal features. Journal of Medical Informatics & Technologies. 16. 11–17.4 indexed citations
15.
Jeżewski, Michał, Robert Czabański, Dawid Roj, & Janusz Wróbel. (2010). Influence of input data modification of neural networks applied to the fetal outcome classification. Annual Conference on Computers. 202–207.1 indexed citations
Czabański, Robert, Michał Jeżewski, Janusz Wróbel, et al.. (2008). THE PREDICTION OF THE LOW FETAL BIRTH WEIGHT BASED ON QUANTITATIVE DESCRIPTION OF CARDIOTOCOGRAPHIC SIGNALS. Journal of Medical Informatics & Technologies. 12.6 indexed citations
18.
Jeżewski, Michał, Robert Czabański, K. Horoba, et al.. (2008). INFLUENCE OF GESTATIONAL AGE ON NEURAL NETWORKS INTERPRETATION OF FETAL MONITORING SIGNALS. Journal of Medical Informatics & Technologies. 12(1). 4–11.2 indexed citations
19.
Czabański, Robert. (2006). Extraction of fuzzy rules using deterministic annealing integrated with ε-insensitive learning. International Journal of Applied Mathematics and Computer Science. 16(3). 357–372.6 indexed citations
20.
Czabański, Robert. (2005). Neuro-fuzzy modelling based on a deterministic annealing approach. International Journal of Applied Mathematics and Computer Science. 15(4). 561–576.7 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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