Ewa Kubicka

17 papers and 124 indexed citations i.

About

Ewa Kubicka is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ewa Kubicka has authored 17 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 4 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Ewa Kubicka’s work include Graph Labeling and Dimension Problems (4 papers), Advanced Graph Theory Research (4 papers) and Optimization and Search Problems (3 papers). Ewa Kubicka is often cited by papers focused on Graph Labeling and Dimension Problems (4 papers), Advanced Graph Theory Research (4 papers) and Optimization and Search Problems (3 papers). Ewa Kubicka collaborates with scholars based in United States, Poland and Canada. Ewa Kubicka's co-authors include Grzegorz Kubicki, F.R. McMorris, Wayne Goddard, Ortrud R. Oellermann, Michael S. Jacobson, W. H. Day, Frank Harary, Michał Morayne, Hans‐Hermann Bock and Barbara Wróblewska and has published in prestigious journals such as Nutrients, Mathematical Biosciences and Mathematical and Computer Modelling.

In The Last Decade

Co-authorship network of co-authors of Ewa Kubicka i

Fields of papers citing papers by Ewa Kubicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewa Kubicka. 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 Ewa Kubicka. The network helps show where Ewa Kubicka may publish in the future.

Countries citing papers authored by Ewa Kubicka

Since Specialization
Citations

This map shows the geographic impact of Ewa Kubicka'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 Ewa Kubicka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Kubicka more than expected).

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.

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