Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Raman microspectroscopy characterization of carbon blacks: Spectral analysis and structural information
2014453 citationsMirosława Pawlyta et al.Carbonprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Mirosława Pawlyta
Since
Specialization
Citations
This map shows the geographic impact of Mirosława Pawlyta'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 Mirosława Pawlyta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirosława Pawlyta more than expected).
Fields of papers citing papers by Mirosława Pawlyta
This network shows the impact of papers produced by Mirosława Pawlyta. 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 Mirosława Pawlyta. The network helps show where Mirosława Pawlyta may publish in the future.
Co-authorship network of co-authors of Mirosława Pawlyta
This figure shows the co-authorship network connecting the top 25 collaborators of Mirosława Pawlyta.
A scholar is included among the top collaborators of Mirosława Pawlyta 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 Mirosława Pawlyta. Mirosława Pawlyta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dobrzański, L. A., B. Tomiczek, Mirosława Pawlyta, & Klaudiusz Gołombek. (2014). EN AW-AlMg1SiCu alloy matrix composite materials reinforced with halloysite particles manufactured by mechanical milling. Inżynieria Materiałowa. 35.1 indexed citations
15.
Pawlyta, Mirosława. (2013). Transmission electron microscope studies on carbon nanostructured materials. Archives of Materials Science and Engineering. 63.4 indexed citations
16.
Pawlyta, Mirosława, Dariusz Łukowiec, & A. Dobrzańska-Danikiewicz. (2012). Characterisation of carbon nanotubes decorated with platinum nanoparticles. Journal of Achievements of Materials and Manufacturing Engineering. 53.8 indexed citations
17.
Labisz, K., Z. Rdzawski, & Mirosława Pawlyta. (2011). Microstructure evaluation of long-term aged binary Ag-Cu alloy. Archives of Materials Science and Engineering. 49(1). 15–24.5 indexed citations
18.
Dobrzański, L. A., Mirosława Pawlyta, & Andrzej Hudecki. (2011). Conceptual study on a new generation of the high-innovative advanced porous and composite nanostructural functional materials with nanofibers. Journal of Achievements of Materials and Manufacturing Engineering. 49.21 indexed citations
19.
Dobrzański, L. A., Marcin Staszuk, Mirosława Pawlyta, & J. Konieczny. (2010). The investigations of (Ti,Al)N and (Al,Ti)N coatings obtained by PVD process onto sintered cutting tools. Journal of Achievements of Materials and Manufacturing Engineering. 42. 148–155.3 indexed citations
20.
Dobrzański, L. A., Marcin Staszuk, J. Konieczny, W. Kwaśny, & Mirosława Pawlyta. (2009). Structure of TiBN coatings deposited onto cemented carbides and sialon tool ceramics. Archives of Materials Science and Engineering. 38(6). 48–54.13 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.