This map shows the geographic impact of Dawid Roj'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 Dawid Roj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawid Roj more than expected).
This network shows the impact of papers produced by Dawid Roj. 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 Dawid Roj. The network helps show where Dawid Roj may publish in the future.
Co-authorship network of co-authors of Dawid Roj
This figure shows the co-authorship network connecting the top 25 collaborators of Dawid Roj.
A scholar is included among the top collaborators of Dawid Roj 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 Dawid Roj. Dawid Roj is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jeżewski, Janusz, K. Horoba, Dawid Roj, et al.. (2015). A novel approach to comparison of the fetal heart rate baseline estimation algorithms. Journal of Medical Informatics & Technologies. 24.1 indexed citations
Wróbel, Janusz, T. Kupka, K. Horoba, et al.. (2014). Automated detection of fetal movements in Doppler ultrasound signals versus maternal perception. Journal of Medical Informatics & Technologies. 23.3 indexed citations
8.
Wróbel, Janusz, Dawid Roj, Janusz Jeżewski, et al.. (2014). The influence of signal loss episodes on fetal heart rate variability measures. Journal of Medical Informatics & Technologies. 23.4 indexed citations
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
11.
Wróbel, Janusz, et al.. (2011). APPLICATION OF GENERALIZED FILTERS FOR ESTIMATION OF FETAL HEART RATE BASELINE. Journal of Medical Informatics & Technologies. 17.2 indexed citations
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
14.
Roj, Dawid, et al.. (2010). Improving the periodicity measurement in fetal heart activity signal. Journal of Medical Informatics & Technologies. 16.3 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
16.
Roj, Dawid, et al.. (2010). Generalized fuzzy clustering method. Journal of Medical Informatics & Technologies. 16.
17.
Kupka, T., Janusz Jeżewski, A. Matonia, Dawid Roj, & K. Horoba. (2010). Adaptive processing of bioelectric abdominal signals to improve the reliability of fetal home telemonitoring. Annual Conference on Computers. 196–201.1 indexed citations
18.
Jeżewski, Janusz, et al.. (2009). Unsupervised clustering for fetal state assessment based on selected features of the cardiotocographic signals. Journal of Medical Informatics & Technologies. 13. 157–162.2 indexed citations
19.
Wróbel, Janusz, Janusz Jeżewski, A. Matonia, et al.. (2008). TELEMEDICAL SYSTEM FOR HOME FETAL MONITORING WITH ONLINE ANALYSIS OF BIOELECTRICALABDOMINAL SIGNALS. Journal of Medical Informatics & Technologies. 12.
20.
Roj, Dawid, et al.. (2008). THE INFLUENCE OF WINDOW SIZE OF AUTOCORRELATION FUNCTION ON FETAL HEART RATE VARIABILITY MEASUREMENT USING THE DOPPLER ULTRASOUND SIGNAL. Journal of Medical Informatics & Technologies. 12.4 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.