Patrycja Jaros

21 total papers · 592 total citations
17 papers, 457 citations indexed

About

Patrycja Jaros is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Biomedical Engineering. According to data from OpenAlex, Patrycja Jaros has authored 17 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 9 papers in Statistical and Nonlinear Physics and 7 papers in Biomedical Engineering. Recurrent topics in Patrycja Jaros's work include Nonlinear Dynamics and Pattern Formation (16 papers), Slime Mold and Myxomycetes Research (7 papers) and Chaos control and synchronization (5 papers). Patrycja Jaros is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (16 papers), Slime Mold and Myxomycetes Research (7 papers) and Chaos control and synchronization (5 papers). Patrycja Jaros collaborates with scholars based in Poland, Ukraine and Germany. Patrycja Jaros's co-authors include Tomasz Kapitaniak, Yuri Maistrenko, Dawid Dudkowski, P. Perlikowski, Jürgen Kurths, Paul Schultz, Frank Hellmann, Krzysztof Czołczyński, Marcin Kapitaniak and Subrata Ghosh and has published in prestigious journals such as Nature Communications, Nonlinear Dynamics and Chaos An Interdisciplinary Journal of Nonlinear Science.

In The Last Decade

Patrycja Jaros

17 papers receiving 448 citations

Author Peers

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

Author Last Decade Papers Cites
Patrycja Jaros 391 256 137 129 29 17 457
Judith Lehnert 449 1.1× 289 1.1× 148 1.1× 53 0.4× 33 1.1× 18 524
Hisa‐Aki Tanaka 259 0.7× 133 0.5× 89 0.6× 100 0.8× 97 3.3× 26 404
Oleksandr Burylko 437 1.1× 227 0.9× 212 1.5× 154 1.2× 36 1.2× 21 530
M. Rivera 373 1.0× 316 1.2× 97 0.7× 48 0.4× 55 1.9× 45 544
Georgi S. Medvedev 294 0.8× 271 1.1× 147 1.1× 43 0.3× 14 0.5× 34 479
Mahesh Wickramasinghe 336 0.9× 142 0.6× 152 1.1× 137 1.1× 41 1.4× 12 417
Debabrata Biswas 331 0.8× 361 1.4× 57 0.4× 34 0.3× 40 1.4× 29 448
Jan Frederik Totz 229 0.6× 117 0.5× 91 0.7× 130 1.0× 24 0.8× 16 406
Zhaoyang Huang 241 0.6× 93 0.4× 63 0.5× 122 0.9× 86 3.0× 22 535
Can Xu 348 0.9× 177 0.7× 160 1.2× 102 0.8× 14 0.5× 48 459

Countries citing papers authored by Patrycja Jaros

Since Specialization
Citations

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

Fields of papers citing papers by Patrycja Jaros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrycja Jaros

This figure shows the co-authorship network connecting the top 25 collaborators of Patrycja Jaros. A scholar is included among the top collaborators of Patrycja Jaros 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 Patrycja Jaros. Patrycja Jaros 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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