This map shows the geographic impact of Jacek Tabor'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 Jacek Tabor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacek Tabor more than expected).
This network shows the impact of papers produced by Jacek Tabor. 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 Jacek Tabor. The network helps show where Jacek Tabor may publish in the future.
Co-authorship network of co-authors of Jacek Tabor
This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Tabor.
A scholar is included among the top collaborators of Jacek Tabor 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 Jacek Tabor. Jacek Tabor is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Struski, Łukasz, et al.. (2019). Interpolation in generative models.. arXiv (Cornell University).1 indexed citations
8.
Spurek, Przemysław, Tomasz Danel, Jacek Tabor, et al.. (2019). Geometric Graph Convolutional Neural Networks.. arXiv (Cornell University).5 indexed citations
9.
Maziarka, Łukasz, et al.. (2018). Set aggregation network for structured data processing. arXiv (Cornell University).
10.
Śmieja, Marek, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, & Przemysław Spurek. (2018). Processing of missing data by neural networks. Jagiellonian University Repository (Jagiellonian University). 31. 2719–2729.4 indexed citations
11.
Spurek, Przemysław, et al.. (2017). ICA based on asymmetry. Pattern Recognition. 67. 230–244.10 indexed citations
12.
Struski, Łukasz, Marek Śmieja, & Jacek Tabor. (2016). Incomplete data representation for SVM classification.. arXiv (Cornell University).2 indexed citations
13.
Tabor, Jacek, et al.. (2013). Strongly midquasiconvex functions. Homo Politicus (Academy of Humanities and Economics in Lodz). 20.
14.
Spurek, Przemysław & Jacek Tabor. (2013). The memory center. Information Sciences. 252. 132–143.4 indexed citations
15.
Tabor, Jacek. (2012). Paraconvex, but not strongly, Takagi functions. Control and Cybernetics. 41(3). 545–559.2 indexed citations
16.
Tabor, Jacek, et al.. (2009). Generalized approximate midconvexity. Control and Cybernetics. 38(3). 655–669.21 indexed citations
Tabor, Jacek. (2001). k-Proper families and almost approximately polynomial functions. Glasnik Matematicki. 36(2). 177–191.2 indexed citations
20.
Tabor, Jacek. (2000). On Predicting the Future. Journal of Differential Equations. 164(2). 459–466.2 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.