Ewa Girejko

73 total papers · 491 total citations
43 papers, 245 citations indexed

About

Ewa Girejko is a scholar working on Computer Networks and Communications, Applied Mathematics and Modeling and Simulation. According to data from OpenAlex, Ewa Girejko has authored 43 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 17 papers in Applied Mathematics and 13 papers in Modeling and Simulation. Recurrent topics in Ewa Girejko's work include Distributed Control Multi-Agent Systems (18 papers), Nonlinear Differential Equations Analysis (16 papers) and Fractional Differential Equations Solutions (12 papers). Ewa Girejko is often cited by papers focused on Distributed Control Multi-Agent Systems (18 papers), Nonlinear Differential Equations Analysis (16 papers) and Fractional Differential Equations Solutions (12 papers). Ewa Girejko collaborates with scholars based in Poland, Portugal and Bulgaria. Ewa Girejko's co-authors include Małgorzata Wyrwas, Dorota Mozyrska, Agnieszka B. Malinowska, Natália Martins, Delfim F. M. Torres, Ricardo Almeida, Ewa Pawłuszewicz, Snezhana Hristova, Benedetto Piccoli and Ewa Schmeidel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Journal of the Franklin Institute.

In The Last Decade

Ewa Girejko

35 papers receiving 227 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ewa Girejko 100 94 72 67 61 43 245
Arcady Ponosov 48 0.5× 30 0.3× 81 1.1× 49 0.7× 65 1.1× 48 249
Tianzeng Li 94 0.9× 139 1.5× 49 0.7× 110 1.6× 20 0.3× 22 277
Zuxing Xuan 59 0.6× 27 0.3× 62 0.9× 90 1.3× 74 1.2× 45 328
Taki-Eddine Oussaeif 69 0.7× 136 1.4× 48 0.7× 66 1.0× 138 2.3× 41 291
Fengxin Chen 35 0.3× 72 0.8× 84 1.2× 42 0.6× 99 1.6× 34 306
Vipin Kumar 40 0.4× 169 1.8× 142 2.0× 38 0.6× 237 3.9× 33 330
Jaromír Baštinec 61 0.6× 41 0.4× 95 1.3× 16 0.2× 158 2.6× 35 310
Valentina Taddei 71 0.7× 75 0.8× 159 2.2× 40 0.6× 221 3.6× 41 315
Wei Han 83 0.8× 28 0.3× 96 1.3× 80 1.2× 129 2.1× 29 290
Hideaki Matsunaga 34 0.3× 53 0.6× 85 1.2× 33 0.5× 187 3.1× 33 289

Countries citing papers authored by Ewa Girejko

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Girejko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Girejko

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Girejko. A scholar is included among the top collaborators of Ewa Girejko 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 Ewa Girejko. Ewa Girejko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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