Łukasz Piszczyk

76 total papers · 2.4k total citations
62 papers, 1.9k citations indexed

About

Łukasz Piszczyk is a scholar working on Polymers and Plastics, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Łukasz Piszczyk has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Polymers and Plastics, 20 papers in Biomedical Engineering and 18 papers in Biomaterials. Recurrent topics in Łukasz Piszczyk's work include Polymer composites and self-healing (44 papers), Polymer Nanocomposites and Properties (17 papers) and Flame retardant materials and properties (16 papers). Łukasz Piszczyk is often cited by papers focused on Polymer composites and self-healing (44 papers), Polymer Nanocomposites and Properties (17 papers) and Flame retardant materials and properties (16 papers). Łukasz Piszczyk collaborates with scholars based in Poland, Iran and Latvia. Łukasz Piszczyk's co-authors include Józef T. Haponiuk, Aleksander Hejna, Paulina Kosmela, Michał Strankowski, Krzysztof Formela, Justyna Strankowska, Damian Włodarczyk, Miķelis Kirpļuks, Mohamed S. Hasanin and Uģis Cābulis and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Łukasz Piszczyk

61 papers receiving 1.9k citations

Hit Papers

Nanoparticles: Taking a U... 2023 2026 2024 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Łukasz Piszczyk 1.1k 670 549 352 160 62 1.9k
Bo Xu 1.2k 1.1× 436 0.7× 541 1.0× 341 1.0× 106 0.7× 80 2.0k
Artur Różański 1.4k 1.2× 437 0.7× 800 1.5× 389 1.1× 160 1.0× 76 2.2k
Hynek Beneš 770 0.7× 410 0.6× 564 1.0× 487 1.4× 243 1.5× 90 1.8k
Jinfeng Dai 1.4k 1.2× 264 0.4× 464 0.8× 422 1.2× 108 0.7× 54 2.0k
Rafael L. Quirino 767 0.7× 854 1.3× 544 1.0× 235 0.7× 135 0.8× 65 1.8k
Shuying Gu 936 0.8× 724 1.1× 1.1k 2.0× 326 0.9× 165 1.0× 49 2.0k
Haining Na 695 0.6× 751 1.1× 1.1k 1.9× 248 0.7× 141 0.9× 92 1.8k
Zhenyang Luo 1.1k 1.0× 757 1.1× 431 0.8× 350 1.0× 107 0.7× 90 1.9k
Xu Xu 976 0.9× 571 0.9× 790 1.4× 392 1.1× 221 1.4× 68 2.1k
Xiaolang Chen 1.4k 1.2× 412 0.6× 788 1.4× 514 1.5× 95 0.6× 108 2.2k

Countries citing papers authored by Łukasz Piszczyk

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Piszczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Piszczyk

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