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.
Hyperbolic Heat Conduction Equation for Materials With a Nonhomogeneous Inner Structure
This map shows the geographic impact of W. Kamiński'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 W. Kamiński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Kamiński more than expected).
This network shows the impact of papers produced by W. Kamiński. 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 W. Kamiński. The network helps show where W. Kamiński may publish in the future.
Co-authorship network of co-authors of W. Kamiński
This figure shows the co-authorship network connecting the top 25 collaborators of W. Kamiński.
A scholar is included among the top collaborators of W. Kamiński 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 W. Kamiński. W. Kamiński is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kuśmierek, Krzysztof, Andrzej Świątkowski, & W. Kamiński. (2015). Adsorpcja 4-chlorofenolu z roztworów wodnych na mieszanych adsorbentach: węgiel aktywny - nanorurki węglowe. Engineering and Protection of Environment. 18(3). 373–383.2 indexed citations
3.
Tomczak, E., et al.. (2013). Zastosowanie pochodnych ułamkowych do matematycznego opisu kinetyki sorpcji dla układu sorbent roślinny - jony metali ciężkich. Proceedings of ECOpole.
4.
Kamiński, W., et al.. (2013). Ionic liquids for the extraction of n-butanol from aqueous solutions. Ecological Chemistry and Engineering. A. 20. 77–87.7 indexed citations
5.
Kamiński, W., et al.. (2012). Concentration of butanol-ethanol-acetone-water using pervaporation. Proceedings of ECOpole.4 indexed citations
6.
Kamiński, W., E. Tomczak, & Andrzej Górak. (2011). Biobutanol - production and purification methods. 18. 31–37.42 indexed citations
7.
Kamiński, W., et al.. (2009). Environmental impact of bioethanol production. 16. 429–438.7 indexed citations
8.
Kamiński, W., et al.. (2007). Sorption kinetics of heavy metal ions from multicomponent solutions on a chitosan sorbent. 725–734.1 indexed citations
Nowak, U., et al.. (2005). The application of structural foam membranes in heavy metal ion removal from drinking water. Environment Protection Engineering. 31. 99–108.1 indexed citations
11.
Kamiński, W., et al.. (2005). Removal of heavy metal ions: copper, zinc and chromium from water on chitosan beads. Environment Protection Engineering. 31. 153–162.12 indexed citations
12.
Kamiński, W., et al.. (2005). Analiza efektu pompowania gazu w jonowych laserach argonowych. Elektronika : konstrukcje, technologie, zastosowania. 46. 19–21.
13.
Kamiński, W., et al.. (2001). Neural networks with orthogonalised transfer functions.. The European Symposium on Artificial Neural Networks. 95–100.1 indexed citations
Kamiński, W. & Witold Kwapiński. (2000). Applicability of liquid membranes in environmental protection. Polish Journal of Environmental Studies. 9(1).29 indexed citations
16.
Kamiński, W., et al.. (1998). Ortho-system of Kernels in RBF Neural Networks.. Natural Computing. 891–895.1 indexed citations
17.
Kamiński, W. & E. Tomczak. (1998). Zastosowanie algorytmów genetycznych w inżynierii chemicznej i procesowej. Chemical and Process Engineering New Frontiers. 281–295.1 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.